As the publishing industry seeks stability in the wake of the pandemic, Meredith Corp is making video an increasingly important part of its long-term content strategy.
Meredith’s newly-appointed Chief Digital Content Officer Amanda Dameron is leading an expansion of the publisher’s video portfolio. The most recent launch is a new Food & Wine show, “Pastries with Paola”.
The series, which stars celebrated pastry chef Paola Velez, debuts with 13 episodes. The videos focus on how to make easy desserts like empanadas and chocolate cake. They also celebrate Paola’s Dominican heritage and culinary traditions.
Collaborating with diverse talent is a vital part of Dameron’s vision for video at Meredith, “as represented by Paola’s show, and every show that we have in development. We are interested in telling stories that are uplifting, that are optimistic…and are told in an inclusive way, in a multicultural way, in a way that truly embraces the world as it is,” she said. “We take tremendous responsibility in that.”
Video as a vehicle for expansion
Long gone are the days of a simple printable recipe card. Increasingly, audiences turn to their social media feeds for food inspiration and helpful information.
Dameron believes that video as a format is more important than ever before. “Rising generations are looking for content that shows them how to do something correctly, how to break down the steps,” she explained. More than that, she sees video as a conversation between content creators and the audience. At Meredith, the tone is informal and intimate, and allows for feedback, especially when distributed via social media.
“When you couple that with a platform in which it’s easy for the audience to share their insight, their questions, and to be able to use that insight to refine the series itself, there is no format better made for that than video,” she emphasized.
However, Food & Wine’s video strategy is not limited to short-form on social media platforms. The video team is experimenting with producing content in a range of styles and lengths, from short how-to’s to longer, documentary-style pieces.
In fact, the brand was recently nominated for an ASME award for “Tasting Home”. The three-part video series follows Chef Kwame Onwuachi who traces his culinary roots by travelling to Trinidad, Jamaica, Louisiana, and Texas.
“We’ve been really gratified to see that our audience responds very passionately to the series that we present, no matter what the format,” Dameron said.
It’s not just video length that varies. In response to evolving viewing habits, many of Meredith’s videos are now produced for both traditional landscape viewing and portrait mobile phone viewing. This means that video content has to be carefully planned for both orientations from the outset.
“We have a lot of different versions of a hero asset or video, and we have to apply a high level of rigor to the way that shots are composed,” Dameron outlined. “You have to be mindful of it every moment of shooting the video itself. Having both landscape and vertical perspectives gives the ability to create the best possible viewing experience, no matter where the audience chooses to find us.”
Active engagement for success
For Dameron, the key success metric for Meredith’s videos are views. However, she also takes a close interest in watch time and active engagement. In particular, she uses these as a way to improve programming.
“I’m really interested in a deeper engagement that shows when we are circulating stories and series. What is the audience saying to us? And more importantly, what is the audience asking us?” she explained. This can often be quite a time-consuming, manual process, but Dameron believes it pays off in terms of quality.
“Comments, questions, those active points of engagement, these are things I’m always looking for. When that symbiotic relationship that exists between audience and content creator happens, you start to see content become better.”
“You must be in the plumbing of it all if you are to understand how to really harness your opportunities in the best way possible and to be able to do so with a quickness and a confidence.”
It’s clear that a multiplatform approach is key to the future of Meredith’s content strategy. Dameron’s role sits centrally at Meredith, and she is planning further video expansion across other brands in Meredith’s portfolio. However, although her position working across brands allows her to apply a framework and resources across titles, she is also keen to emphasize that each video strategy has to be as unique as the brand.
“That centralized approach allows us to have a framework that is strong, but flexible. But that being said, it’s really important to emphasize that each particular brand is at the helm of its own creative manifestation in video.”
A flexible, evergreen future
As Dameron gets her feet under the table at Meredith, she is planning to expand the company’s pool of evergreen video content. The goal is to realize longer-term value. “We’re also very interested in developing a long-form video strategy; one which really focuses on the lifetime value of the video library,” she said.
Crucially, this will involve building flexibility into the process, and anticipating how the videos will be used in the future. From being able to shoot for multiple orientations to distributing across social and OTT, careful planning from the outset is essential.
“We want to give ourselves the flexibility to create content and programming across every distribution channel and every screen that exists here today, or is yet to be built tomorrow,” she explained. “If you have a rigor and a framework for assembling the strongest video library you can, then you’re unfettered in the future from distributing it however you wish.”
Diversity of on-screen talent is firmly on Meredith’s agenda. But to ensure it makes the most of that investment for the future, it is also firmly focused on building a diversified video portfolio that is future-proofed both in format and content.
Digital advertising is characterized by constant change, challenges and – fortunately – innovation.
One intriguing and enduring industry plotline is the tension between data-driven targeting and user privacy. The narrative commenced with stricter data regulations. Now, it’s reached a critical point with the deprecation of third-party cookies and reduced access to mobile advertising identifiers.
There is no real replacement for third-party cookies and mobile IDs. So, we are starting to see a patchwork of targeting solutions emerge. We won’t entirely shift away from an identity even as we edge closer to a privacy-first age. Rather, success will be determined by a combination of solutions.
Privacy has been a prominent topic for many years. So has a demand for targeting. The reality is that some sort of ID solution will continue to be used for the foreseeable future. What we’re likely to see, however, is a move from precision-based marketing to prediction-based marketing. Thus, advertisers will increasingly rely on audiences built on the basis of having the highest probability to purchase their products.
Publishers, as the gatekeepers of first-party data, are poised to take a stronger position in the digital ecosystem. This is particularly true for those supported by artificial intelligence (AI) powered predictive analytics. These solutions will allow them to make the most of that precious data and achieve the scale advertisers need.
First-party data, identity, both, or more?
Unlike most participants in the digital advertising supply chain, publishers have direct consumer contact. And their advertising partners will benefit from first-party data drawn from that interaction.
Advances in data enrichment techniques enable publishers to generate user insights directly from that first party data. This allows publishers to offer the scale and quality marketers need to achieve their goals. It is also worth noting that solutions that allow data processing and the extraction of value closer to the source of the data also reduce the risks associated with data sharing.
To make use of their first-party data for targeting purposes, publishers can begin by creating basic reach among users that are known to them through log-in details or subscriptions. They can then form larger addressable audience segments by syndicating those user profiles through identity networks and matching them to a wider identity connectivity layer using AI-powered technologies to orchestrate and consolidate their data.
While the result of this process is a pool of audience insight ready for activation, these steps will still only deliver limited reach. The reality of extracting value from first party data is that established publishers need to balance paywalls and login screens with ensuring a positive user experience. Also, without being able to tap into predictive modelling on top of their first-party data strategies, publishers will struggle to achieve true scale.
From your current targetable audience reach to 100% (really!)
AI-powered predictive modelling allows publishers to monetize their inventory through targeted advertising in a way that is privacy compliant. That’s because it relies on logical, predicted — rather than declared — attributes. To fill the gaps in their data and expand reach, publishers can use algorithms to analyze on-site activity for users that have consented to this practice. Publishers can build detailed user profiles and intricate attribute patterns that include interests, habits, and preferences.
This information can be used for advanced audience expansion. It also enables targeting users with similar profiles, even if they aren’t logged in. It can also be used to predict attributes of anonymous users, such as gender, age, and interests. By combining these privacy-compliant profiles with real-time context and content information, impressions can be made addressable without user-level data.
This approach can even be used for retargeting by matching publisher and advertiser audiences based on similarities, using clean-room technology. With a clear picture of audience trends and preferences, publishers will be able to bring 100% of users within targeting range.
Contextual Targeting supercharged and cross-platform
A third element in the mix will be contextual targeting. However, it will be a more sophisticated AI-powered version of the contextual targeting we’ve known in the past. Using advanced analytics, publishers can determine what content users are interacting with across multiple digital properties. They can use this information to unearth granular interest areas far beyond high-level keywords. Targeting against these specific interest patterns will be particularly useful for native mobile channels, as well as connected TV and podcasts. Critically, it will allow brands to reach users when they are absorbed in relevant content.
This multi-layered approach to audience targeting in a world with no third-party cookies and reduction of mobile IDs will be beneficial across the supply chain. It allows publishers to effectively monetize inventory through relevant advertising that their audiences find engaging and applicable rather than annoying and disruptive. And it can do all this while respecting user privacy. For advertisers, predictive analytics enables them to spot the most receptive audiences at every stage of their digital journey and understand where they are most likely to be next.
As the targeting vs. privacy story heads towards its culmination, industry innovation will see a multitude of targeting solutions emerge. Overall, user-level targeting will shrink and both audience-level and contextual targeting will grow. Predictive marketing powered by AI and publisher first-party data will lead the way into a new age of targeting.
There is no question the business model of traditional media companies has been disrupted over the past 10 years. Companies that aren’t experimenting with new, unique premium content experiences risk, at best, being left behind their competitors and, at worse, failing. Diversification is key to building a sustainable business model. But survival is not enough. So, here are three things for media companies to consider as they try not only to survive but to disrupt.
1. Embrace the change
The ad supported business model will never again be the sole salvation of the media business. Digital advertising has become dominated by Google and Facebook. These two tech giants pull in over 60% of all digital advertising spend and over 85% of all new digital advertising revenues. Those are 2019 statistics, so their slice of the pie is undoubtedly even larger today.
Innovative media companies are diversifying and building new revenue streams. They have shifted to creating premium content experiences that drive customer revenue through subscriptions and memberships. Media companies are also leveraging events and ecommerce as a new way of engaging their audience and to increasing revenue streams. With the death of the cookie they have no choice.
Fortune Media is a good example of this new product mindset. Historically, Fortune’s primary consumer product was their magazine. They’ve moved to digital subscriptions and diversified interactive content to grow subscriber revenue such as Fortune Connect, introduced in 2020. Fortune Connect is a combination of self-guided learning, best-in-class journalism and weekly networking events for business leaders. It’s an example of using data to discern customer preferences and create a new and different type of brand experience.
2. New players = new competitors for eyeballs and loyalty
There is a no-holds-barred competition going on for the attention and loyalty of digital customers. There are new and disruptive channels emerging competing for hearts and minds from companies creating unique and interactive experiences to drive subscriptions and brand value.
Take Peloton. They certainly don’t fit the traditional definition of a media company. But don’t let the bike fool you. Their business is subscription-based fitness content, which includes spinning, yoga, bootcamps, and meditation. They spent a reported $103 million on content development in 2019 designed to bind their customers to their platform.
It may not matter whether Peloton considers itself a fitness company, a hardware company, or a media company. However, it should matter a great deal to media companies. There are a finite set of eyeballs connected to humans. And they’ve got a dwindling amount of expendable time in their day to consume content.
It is all the more urgent that media companies find ways to deliver value that differentiates and builds loyalty.
3. Be nimble and fail fast
The ethos of many technology companies is to accept failure as a consequence of experimentation. Media companies can even celebrate failure (well, practically) – as long it is a part of the journey to success, of course. Digital media publishers should continually explore new monetization strategies to be competitive, even if some efforts don’t work out. If and when companies fail, it’s critical to do so quickly and understand why so that they can try another approach.
I’m a proponent of “failing smart.” Make a data-driven decision, do your customer research, validate product market fit and understand how your product satisfies a customer need. Identify and remediate issues and unforeseen challenges to drive a successful product. Don’t over-analyze and paralyze. Take calculated risks, listen to your customers and react quickly. Embrace the bold but be smart.
Quibi is a high-profile example of a failure I suspect wasn’t data-driven. On paper, the company seemed to have everything required for success. They had proven executive talent, almost $2 billion in funding, blue-chip media company investors, and A-list creative talent. Yet only 500,000 subscribers had signed up by October of 2020, though it’s reported the company had projected 7,000,000 by that date. Clearly the founders vastly overestimated consumer demand and willingness to pay for premium, short-form content.
To avoid these kinds of mistakes — both market fit and product fit — media companies should invest in product market fit research to validate customer needs, as well as invest in data platforming and cloud architecture to continually improve customer experience and build loyalty through deep learning and truly understanding customer preferences. Media companies can create value and new revenue streams by integrating customer-specific data and insights to power differentiated services.
Take action now
I suspect the definition of a media company in 2025 will be substantially different from the media company of 2021. The disruption by non-traditional media companies has already taken root, forcing traditional media companies to adjust quickly. The pandemic has only accelerated the need for change and innovation. How healthy traditional media companies will be in 2025 depends on actions they take right now.
The GDPR is an EU data privacy law that went into effect May 25, 2018. It is designed to give individuals more control over how their data are collected, used, and protected online. It also binds organizations to strict new rules about using and securing the personal data they collect from people, including the mandatory use of technical safeguards like encryption and higher legal thresholds to justify data collection. The law applies to organizations that handle such data whether they are EU-based organizations or not, known as “extra-territorial effect.”
Canada’s Consumer Privacy Protection Act (CPPA)
The CCPA, which went into effect June 2022, falls into two parts, which focus on the law and enforcement capabilities.
Part 1: Enacts the Consumer Privacy Protection Act to protect the personal information of individuals while recognizing the need of organizations to collect, use or disclose personal information in the course of commercial activities. Like GDPR, CPPA requires businesses to be transparent about the use of automated decision systems – such as algorithms and artificial intelligence – to make predictions, recommendations, or decisions about individuals that could impact them. Individuals also have the right to request an explanation as to how information about them was obtained as well as how any prediction, recommendation or decision was made by an automated decision-making system.
Part 2: Enacts the Personal Information and Data Protection Tribunal Act, which establishes an administrative tribunal to hear appeals of certain decisions made by the Privacy Commissioner under the Consumer Privacy Protection Act and to impose penalties for the contravention of certain provisions of that Act.
China’s Personal Information Protection Law
The Personal Information Protection Law (PIPL) is China’s first comprehensive legislation on personal information and data privacy. While similar to the European Union’s General Data Protection Regulation in many ways, China’s PIPL notably contains a number of ambiguities that have yet to be interpreted, thereby generating regulatory uncertainty. It remains to be seen how stringent the PIPL will truly be and the extent of its impact.
India Personal Data Protection Bill — proposed; as of March 2020, the Bill was being analyzed by a Joint Parliamentary Committee; scrapped as of August 2022, with a promise to introduce new legislation soon.
India’s Personal Data Protection Bill is intended to provide for protection of the privacy of individuals relating to their personal data, specify the flow and usage of personal data, create a relationship of trust between persons and entities processing the personal data, protect the fundamental rights of individuals whose personal data are processed, to create a framework for organizational and technical measures in processing of data, laying down norms for social media intermediary, cross-border transfer, accountability of entities processing personal data, remedies for unauthorized and harmful processing, and to establish a Data Protection Authority of India for the said purposes and for matters connected there with or incidental thereto.
New Zealand Privacy Act
The Privacy Act 2020, which went into effect December 1, 2020, provides the rules in New Zealand for protecting personal information and puts responsibilities on agencies and organizations about how they must do that. While New Zealand’s new privacy legislation is not as comprehensive as some international privacy laws, such as the GDPR, it still introduced significant changes including:
mandatory data breach notification;
new investigative and regulatory powers for the New Zealand Privacy Commissioner; and
new criminal offenses and penalties, including fines of up to $10,000.
Overseas businesses are required to comply with New Zealand’s privacy laws as the Privacy Act 2020 has extraterritorial effect.
The California Consumer Privacy Act of 2018 (CCPA), which went into effect January 1, 2020, gives consumers more control over the personal information that businesses collect about them and the CCPA regulations provide guidance on how to implement the law. This landmark law secures new privacy rights for California consumers, including:
The right to know about the personal information a business collects about them and how it is used and shared;
The right to delete personal information collected from them (with some exceptions);
The right to opt-out of the sale of their personal information; and
The right to non-discrimination for exercising their CCPA rights.
Businesses are required to give consumers certain notices explaining their privacy practices. The CCPA applies to many businesses, including data brokers.
California (CPRA)
In November 2020, California passed the CPRA which amends and expands the California Consumer Privacy Act (CCPA). This California state privacy law, which is being phased in through July of 2023, clarifies existing provisions of the CCPA, creates new consumer rights, imposes additional obligations on businesses that collect personal information from California consumers, and creates a new enforcement agency called the California Privacy Protection Agency.
The CPRA will affect large businesses and organizations the most. Any company that engages in the data collection, analysis, and storage of any person located in California is subject to CPRA they fit under the following criteria:
For-profit companies that do business in California
Over $25 million in annual revenue
Companies that buy, sell or share personal information (PI) of over 100,000 consumers or households
Derives at least 50 percent of annual revenue from selling or sharing of consumer PI
Note that even if a business isn’t physically or legally located in California, that company is still subject to CPRA as long as they have users or conduct business in the state.
Applies to legal entities that conduct business or produce commercial products or services that are intentionally targeted to Colorado residents and that either:
Control or process personal data of more than 100,000 consumers per calendar year; or
Derive revenue from the sale of personal data and control or process the personal data of at least 25,000 consumers; and
Does not apply to certain specified entities, personal data governed by listed state and federal laws, listed activities, and employment records.
Under the bill, consumers have the right to opt out of the processing of their personal data; access, correct, or delete the data; or obtain a portable copy of the data. The bill defines a “controller” as a person that, alone or jointly with others, determines the purposes and means of processing personal data. A “processor” means a person that processes personal data on behalf of a controller.
The bill:
Specifies how controllers must fulfill duties regarding consumers’ assertion of their rights, transparency, purpose specification, data minimization, avoiding secondary use, care, avoiding unlawful discrimination, and sensitive data;
Requires controllers to conduct a data protection assessment for each of their processing activities involving personal data that present a heightened risk of harm to consumers, such as processing for purposes of targeted advertising , profiling, selling personal data, or processing sensitive data; and
Specifies that a violation of its requirements is a deceptive trade practice, but the bill may be enforced only by the attorney general or district attorneys.
Connecticut Data Privacy Act
The Connecticut Data Privacy Act (CTDPA) protects the privacy and security of Connecticut residents’ personal data by requiring businesses and organizations to be accountable for safeguarding it. The CTDPA applies to entities that handle personal data, including sensitive data like genetic or biometric information.
The CTDPA gives Connecticut residents the following rights:
Access their personal data
Correct inaccuracies in their personal data
Delete their personal data
Obtain a copy of their personal data in a portable format
Opt-out of the sale of their personal data
Opt-out of the processing of their personal data for targeted advertising
The CTDPA also imposes strict requirements on data handling, security, breach notification, and consent. For example, controllers must limit the collection of personal data to what is relevant and necessary for the purpose it is processed for. They must also create and maintain security practices to protect the confidentiality, integrity, and accessibility of data.
Maryland Online Data Privacy Act of 2024
The Maryland Online Data Privacy Act of 2024 (MODPA) establishes a regulatory framework to protect Marylanders’ personal data. The law imposes requirements on businesses to protect personal information, such as:
Data security
Businesses must implement and maintain security procedures to protect personal information from unauthorized access, use, modification, or disclosure
Sensitive data
Businesses cannot collect, process, or share sensitive data unless it’s strictly necessary to provide or maintain a specific product or service
Data collection
Businesses cannot collect, process, or sell a consumer’s personal data for targeted advertising if they know or should know the consumer is under 18
Anti-discrimination
Businesses cannot collect, process, or transfer personal data in a discriminatory manner
Data subject requests
Businesses must respond to data subject requests within 45 days, with a 45-day extension if necessary
The Montana Consumer Data Privacy Act
The Montana Consumer Data Privacy Act (MTCDPA) establishes consumer rights and requirements for businesses that collect and process personal data. The law goes into effect on October 1, 2024.
The MTCDPA applies to businesses that:
Operate in Montana
Produce products or services for Montana consumers
Control or process personal data for at least 50,000 Montana consumers
Control or process personal data for at least 25,000 Montana consumers and earn more than 25% of their gross revenue from selling personal data
The MTCDPA requires businesses to:
Provide consumers with a way to opt out of data collection and processing
Implement reasonable security and protections to safeguard collected data
Conduct and document a data protection assessment for each activity that presents a heightened risk of harm to a consumer
Obtain prior consent from a parent or guardian before processing the personal data of any known child under 13
Obtain consent from a known consumer who is at least 13 but under 16 before processing their personal data for targeted advertising or sale
The MTCDPA also gives consumers several rights, including:
Confirmation of whether a controller is processing their data
Access to the data a controller has collected
Correction of inaccuracies in personal data
Deletion of collected data
A copy of the data a controller has collected
Opting out of the processing of personal data for targeted advertising, sale, or automated profiling
Nevada Online Privacy Law
Nevada’s Online privacy Law is an ACT relating to Internet privacy that went into effect May 30, 2019; prohibiting an operator of an Internet website or online service which collects certain information from consumers in Nevada from making any sale of certain information about a consumer if so directed by the consumer; and providing other matters properly relating thereto. Under the law, sales are defined as exchanges of personal information for monetary consideration by the online operator to a person for the person to license or sell the personal information to additional persons.
Nevada’s bill does not add include new notice requirements for website operators but does require them to post certain items of information in their privacy policies, including the categories of information collected, the categories of third parties with which the data is shared, a description of the process consumers may use to review and request changes to their covered information, a disclosure that third parties may track consumers’ online activities and the effective date of these notices.
Utah Consumer Privacy Act
The Utah Consumer Privacy Act (UCPA) is a law that went into effect on December 31, 2023, that protects Utah residents’ personal information and gives them control over it. The UCPA grants consumers rights and imposes obligations on businesses.
The UCPA gives consumers the right to:
Know if their personal data is being processed
Access their personal data
Delete their personal data
Obtain a copy of their personal data in a usable format
Opt out of the sale of their personal data
Opt out of targeted advertising
The UCPA also requires businesses to:
Protect personal data
Provide consumers with information about how to exercise their rights
Disclose how consumers can opt out of the sale of their data and targeted advertising
The UCPA applies to businesses that process data of a certain scale or target Utah and have more than $25 million in annual revenue. Government entities and non-profits are exempt from the UCPA.
Tennessee Information Protection Act
The Tennessee Information Protection Act (TIPA) is a privacy law that gives Tennessee residents rights over how businesses collect, use, and sell their personal information. It was passed in April 2023 and will take effect on July 1, 2025.
TIPA imposes obligations on businesses and penalties for violations. It requires controllers to:
Limit data collection to what is necessary for the disclosed purpose
Get consumer consent before processing data for other purposes
Establish reasonable data security practices
Conduct and document data protection impact assessments before certain processing activities
TIPA also requires processors to cooperate with controllers to comply with the act, including consumer rights requests and data security. Processors must also be governed by a contract with the controller that outlines relevant consumer privacy provisions
Vermont Data Privacy Act
The Vermont Data Privacy Act is considered to be one of the strongest data privacy laws in the country. The bill includes:
Data minimization: Limits the amount of personal data companies can collect and use
Sensitive data: Prohibits the sale of sensitive data, such as social security numbers, financial information, and health records
Civil rights protections: Prohibits digital discrimination
Private right of action: Allows consumers to hold businesses accountable for violations of sensitive data rules
Consumer rights: Includes the right to opt out of targeted advertising, profiling, and the sale of personal data
Data security: Requires controllers to establish, implement, and maintain reasonable data security practices
Data breach notification: Requires data collectors to provide preliminary notice to the AG or DFR within 14 days of discovering a breach
Virginia Consumer Data Protection Act
Virginia’s Consumer Data Protection Act (CDPA) establishes a framework for controlling and processing personal data in the Commonwealth. The bill applies to all persons that conduct business in the Commonwealth and either (i) control or process personal data of at least 100,000 consumers or (ii) derive over 50 percent of gross revenue from the sale of personal data and control or process personal data of at least 25,000 consumers.
The bill outlines responsibilities and privacy protection standards for data controllers and processors. The bill does not apply to state or local governmental entities and contains exceptions for certain types of data and information governed by federal law.
The bill grants consumer rights to access, correct, delete, and obtain a copy of personal data and to opt out of the processing of personal data for purposes of targeted advertising, the sale of personal data, or profiling of the consumer.
The bill provides that the Attorney General has exclusive authority to enforce violations of the law, and the Consumer Privacy Fund is created to support this effort.
The bill directs the Joint Commission on Technology and Science to establish a work group to review the provisions of this act and issues related to its implementation, and to report on its findings by November 1, 2021. The bill has a delayed effective date of January 1, 2023.
The rate of change in ad tech is intense. It’s being driven by demand for improved performance, trust, transparency and privacy. Many solutions to these problems target buy-side players. So, publisher technology has often been reactive, adding in-house or one-off solutions to solve specific problems.
The most successful publisher organizations are able to synthesize vast amounts of data to make optimized decisions. Unfortunately, the tools that enable this process have a tendency to make operations more disparate and isolated over time. Increasing numbers of advertising partners, technologies, and tools make it difficult to see the forest through the trees. In an ad tech world – where complexity is the norm – striving for simplicity has become a lost art.
From silos to synergy
While most organizations can see the pitfalls of an overly complex tech stack, many of these technologies are unavoidable. Each part of the stack serves a purpose and may meet the needs of a specific department. However, that doesn’t always lead to scalable outcomes that benefit the entire organization. For executives trying to improve cross-team collaboration and transparency in order to find new growth opportunities, the tech stack must be constantly scrutinized.
Time spent maintaining disjointed point solutions can be a full-time job. In addition, each department in your organization has increasingly complex goals and responsibilities that threaten to add more technology to the stack:
Each team often maintains legacy systems that may not be ideal for the changing scale of the entire business. There is an opportunity for media companies to undertake top-down initiatives that align team goals and processes at a higher level through unified data and technology. Many publisher tech stacks include most, if not all, of the solutions below. By unifying data between these tools and making data visible to more teams, decision making is improved and business goals are more easily achieved.
Economies of scale: playing the long game
Over time, tech solutions and workflows solidify. This makes it difficult to know how much time is spent maintaining these systems versus focusing on company goals. Reducing dependence on in-house or one-off solutions will have massive cost benefits as publishers scale.
With a unified data foundation and goal alignment, data silos created by disparate software are eliminated. Workflows are cleaned up. And holistic views of performance allow for additional optimization opportunities and more time is spent on growing revenue. The costs of the required technology solutions are also reduced. Instead, they are replaced by tools that can bring data together for multiple departments and use cases.
How to know when it’s time to consolidate
In smaller teams, individual operators may add specific tools that help one person do the work of many. But as an organization grows, you will reach a plateau that limits scale unless data, results, and opportunities can be easily shared. Increasing collaboration between departments presents exciting revenue opportunities, but only if those teams speak the same language. A simplified tech stack becomes a way to increase transparency and reduce the barriers for collaboration.
Questions to ask when evaluating your tech stack:
What are the high-level business goals that each piece of technology supports? Technology should be added only after goals and supporting processes are clearly defined.
How do department needs differ? Where do they overlap? Identifying areas where technology can meet more than one need for the company can help simplify operations.
How much time is spent maintaining in-house or point solutions? In many cases, dedicated roles are required to keep solutions up and running.
Do your systems talk to each other? How difficult is it to create a single view of performance? With the volumes of data that businesses rely on, it’s common to struggle to bring it all together in meaningful ways.
What is the short-term investment needed to simplify your tech stack vs long-term benefits? This can mean looking at specific technologies, how they’ve been configured, or overall costs. It can be painful to think about rebuilding tech implementations for a cleaner, more effective foundation, but in the long run, you might be better off.
Tech stack consolidation allows your team to improve interdepartmental cooperation and transparency in order to capture new revenue. Less time and money will be spent maintaining and translating KPIs from various point solutions. The sooner your organization begins scaling its tech stack for the future, the sooner you can begin accomplishing top-down organizational goals with less overhead.
DCN represents hundreds of media brands, that reach nearly 100% of the U.S. population and countless readers worldwide. We are pleased to share some of the incredible work our members have done to recognize Juneteenth – a newly-official Federal holiday – and its cultural significance in the American experience.
In November 2019, Pew Research found that the majority of Americans think that their personal data is insecure, that data collection poses more risks than benefits, and believe it is not possible to go through daily life without being tracked. Since that time, there has been increased scrutiny by consumers, research, and regulators around tracking in the digital ecosystem.
As a result, an increasing number of organizations have begun to examine their use of cookies for tracking. In particular, a number of browsers are phasing out the use of cookies, and have disabled “default consent” around the placement of cookies by consumers. Here is a timeline of the major announcements regarding cookie deprecation and the elimination of default tracking.
I will never forget back in 2006, when former Senator Ted Stevens (R-AK) infamously referred tothe internet as a “series of tubes.” The cringe-worthy statement has gone down in the annals of unintentionally hilarious politician-speak. In defense of Senator Stevens, however, it merely belied a massive lack of understanding throughout the U.S. Congress about the then-burgeoning tech industry.
There are many reasons for this knowledge gap, not the least of which is that politicians aren’t technologists. In addition, most members aren’t “digital natives.” Meanwhile, the internet has grown ever more complex — as have tracking, monetization, and devices. And let’s not forget that Congress has responsibilities for governing on a wide swath of other complex public policy issues, which often leaves members and their staff stretched a mile wide and an inch deep.
Even in 2018, there were still examples of monumental ignorance about tech. But they are becoming fewer and farther between. In part, that’s because Congress has held numerous hearings over the years on tech issues, which has forced the members to become smarter. One tangible piece of evidence is that you can see a huge improvement in the questions asked by Members of Congress to tech executives over the last few years.
Europe first out of the gate
European policymakers have long outpaced their U.S. counterparts in digital savvy, even if the results have been less than groundbreaking. The ePrivacy Directive was an early attempt to provide more transparency for consumers about the mechanisms for online data collection and tracking. The ensuing “cookie banners” were not so great. The General Data Protection Regulation (GDPR) was the first major consumer privacy framework against which nearly every new privacy law is compared. Yet we’ve been waiting for more than three years for significant enforcement. This year might be the year… maybe.
Then, in late 2020, Europe rolled out the Digital Markets Act (DMA) and Digital Services Act (DSA). The DMA is intended to rein in the anticompetitive behavior of “gatekeeper platforms” while the DSA is focused on providing protection and transparency for consumers and on addressing harmful content that flows across the web. These proposals represent a more thoughtful and aggressive approach than we have seen in the past from European policymakers who clearly understand how big tech companies have cemented their dominant positions.
[Side note: If you are a DCN member, I highly encourage you and a member of your policy or legal team to attend an event we’re hosting on June 22, "Digital Markets Act: What Is It and Why Should Publishers Care?" We will provide an overview of the DMA followed by a panel of DCN members discussing the pros and cons of the DMA and the parallel proposals in the U.S.]
Congress steps up to the plate
Fast forward to last week, when a bipartisan collection of members of the House Judiciary Committee announced five bills to rebalance competition in the tech marketplace. These bills are an outgrowth of multiple committee hearings held over the last several years. The outcome of those hearings was a comprehensive blueprint for action released by the Committee last October.
The five bills are intended to:
give greater authority to US regulators to break up dominant platforms which unfairly use their dominance to promote their own services;
require platforms to offer data portability and interoperability to consumers;
prohibit platforms from “self-preferencing” and/or discriminating against competitors;
raise the bar for platforms seeking to acquire potential rivals; and
increase filing fees for companies proposing mergers.
Action across party lines
While Washington D.C. is still deeply divided along partisan lines, it is striking to note that a number of Republicans co-sponsored all of these bills. And they did this just days prior to the confirmation of Lina Khan (69-28) in a largely bipartisan vote as she was appointed as the new Chair of the Federal Trade Commission.
Earlier this year, Representative David Cicilline (D-CT), Chairman of the House Judiciary Subcommittee on Antitrust, re-introduced the Journalism Competition and Protection Act (JCPA) with bipartisan support, including from Rep. Ken Buck (R-CO), the top Republican on the Antitrust Subcommittee. Our understanding is that they are working together on ways to strengthen the JCPA in light of the lessons learned from the European Copyright Directive and Australia’s News Media Bargaining Code.
Meanwhile on the other side of the Capitol, Senator Amy Klobuchar (D-MN) introduced a comprehensive proposal for reforming antitrust law. Senator Mike Lee (R-UT), her Republican counterpart on the Senate Judiciary Antitrust Subcommittee, recently introduced his own anti-trust reform bill. However, it isn’t likely to garner any support from Democrats.
While they offered starkly different solutions, the two lawmakers have a long history of working together to highlight the harmful conduct of big tech platforms. With the news that Senator Klobuchar is reportedly working on counterpart legislation to the House bills, it will be interesting to see whether a similar bipartisan dynamic plays out on the Senate side.
Taken together, there is a distinct shift in the posture of Congress. They have moved from hearings and investigations to remedies and solutions.
What’s next?
If Vegas bookies offered odds on whether Congress will pass any significant legislation in the next 18 months, it would be considered a long shot. It’s not easy to get a majority of 435 members in the House to sing off the same choir sheet. It’s even harder to find agreement between Senate Majority Leader Chuck Schumer (D-NY), Senate Minority Leader Mitch McConnell (R-KY) and 60 of their colleagues (most of whom have their own fiefdoms and presidential ambitions). But you have to start somewhere. And, right now, both parties appear to be clamoring for legislative action to rein in big tech platforms.
There will be a lot of debate in the coming months about the specifics of the House bills, the companion bills which are reportedly coming from the Senate Judiciary Committee, and the DMA and DSA in Europe. And you can be sure that the big tech platforms, which are the unquestioned targets of this scrutiny, will be spending copious time and money trying to muddy the waters and blunt these proposals.
But this much is clear: Policymakers have a come long way in better understanding the tech industry since the “series of tubes” analogy. We have reached the point where they are poised to write rules for the road that reflect how the modern world operates.
Apple’s June iOS 15 announcement was the latest in a series of initiatives from large tech companies focused on consumer privacy. For a long time, consumer trust has eroded due to data leaks and murky practices by bad actors. However, the demise of the third-party cookie will impact all businesses across the digital advertising spectrum. Unfortunately, premium publishers will be hugely affected by these policy changes. At the same time, they have minimal control over what the changes are and when they’ll come into effect.
Survey says
We recently surveyed our publisher partners, of which 419 participated from all over the world. The results offer a fascinating look at where we stand on the cookieless future, halfway through 2021. Significantly, more than 50% said they were unclear as to how new cookieless identity solutions would impact their business models.
A good deal of weight and attention has been placed behind unique ID solutions, namely Unified ID 2.0 spearheaded by The Trade Desk and Liveramp’s Identity Link. Thus, it’s no surprise that they are seen as potential ways forward to solve the issue. In our survey, almost half (47%) of those considering adopting logins indicated their intent to work with one of these two solutions.
But, given the high volume of interest given to first-party data solutions, it’s more surprising that 65.3% of respondents said they were not planning on increasing usage of logins to specifically combat deprecation of third-party cookies. This is predominantly due to the potential disruption of user experience for readers. Logins could negatively impact site traffic.
Not flocking to FLoC
Google’s Federated Learning of Cohorts (FLoC) claims to give advertisers the ability to target groups of users without giving away identity information. It does this by placing users within cohorts according to their interests. However, this will only be available within Google’s Chrome browser. It has a significant market share but is by no means comprehensive. Publishers are also still uncertain how it will work in practice.
At least Google has started work on the technical details of its Privacy Sandbox model. However, other key browsers such as Safari and Firefox have yet to announce their plans. When it comes to these Privacy Sandbox solutions, the approach for publishers and advertisers should be the same. A cookieless tool to be included in the mix rather than treated as the basis for a whole strategy.
Technical details and dominance
The devil will be in the details with FLoC. But the key concern is that such an update will be limited to the open web and give Google further competitive advantages in market. Publishers haven’t had the easiest ride in monetizing premium editorial content. So, it’s critical they are supported in ensuring precise targeting isn’t only possible within walled gardens.
Unfortunately, many publishers are choosing to play a waiting game to see what further privacy protocols will be introduced and, therefore, which targeting options remain and are viable solutions for advertisers. This leaves the industry heavily reliant on – and beholden to – updates from the tech giants. Our survey results reflect the lack of clarity that publishers already face when it comes to these potential new solutions. Just 23.7% say that they fully understand the implications of the various industry initiatives.
With such uncertainty and lack of transparency, how can publishers get ready for the cookie-less future that is fast approaching?
Change your targeting perspective
While criticism can be levelled at the lack of transparency for these updates, we must remember that a privacy-focused internet is what users, and government regulators, are asking for. So, relying on a single, one-size-fits-all solution isn’t a good long-term strategy for anyone in digital.
The credibility and feasibility of multiple approaches will need to be understood, tested, and combined to maintain the same levels of ad effectiveness. Publishers will need to stay aligned to various industry initiatives as they evolve, which takes deep technical knowledge and resources. Most of the cookie-based replacements are unavailable to all, and worse than that, are not testable yet, and time is running out.
Consider critical context
But it’s not all doom and gloom. Contextual targeting has been a viable and reliable revenue source for publishers. It provides solid strategic results across all markets around the world. When integrated with a good media plan to ensure proper actionability, publishers can use their first-party data, cutting edge tech tools and insights to learn which contextual signals can be used (as well as when and how). Where contextual targeting wins is that it has never required the use of cookies. Contextual allows publishers to stop chasing precise audience targeting and consider their natural advantages and differentiators: the power of their content.
Whatever happens though, there is no doubt that publishers need answers to be fully ready for 2022 when third-party cookies will take their final bow. Publishers will need support from monetization partners and advertisers alike to find the right balance. It is essential to run concreate tests with partners that offer actionable – and not theoretical – cookieless monetization capabilities. This is critical in order develop reliable revenue streams. It’s not enough just to be ready for the death of the cookie. Publishers need to be positioned to profit within a privacy-first ecosystem for many years to come.
For many publishers, it’s no secret that a few large, usually corporate accounts are responsible for the bulk of advertising revenue. This has long been the law of traditional advertising. So, it makes sense to focus efforts on managing and maintaining these accounts at the expense of smaller customers. When the value of each deal is lower, the cost to serve remains relatively static. The result is a diminishing ROI for publishers as their profits are quickly eaten up by costs.
However, neglecting long-tail ad buyers – SMEs – also has an opportunity cost.
Aggregated small deals = massive revenues
When thinking about SMEs, consider that a “small” business can have up to 500 employees. In other words, not every SME is your local corner shop or florist. Some SMEs are born-global scaleups with decent-sized marketing budgets, backed by venture capital, and motivated by high-growth strategies.
The U.S. Small Business Administration, for instance, recommends that businesses with revenues below $5 million allocate 8% of their revenues to marketing. And that suggestion is on the conservative side. Depending on the industry, level of competition, and strategy of the owners, the marketing and advertising budget could easily reach up to 20% of revenue.
To see the value of small deals aggregated, look no further than Facebook, one of the world’s biggest advertising platforms. Most of Facebook’s substantial ad revenue ($69.7 billion in 2019) comes from SMEs, rather than large corporate clients. Facebook boasts more than 8 million advertisers. However, the highest-spending 100 brands account for only about 6% of the platform’s ad revenue. In other words, SMEs are the driving force behind Facebook’s massive advertising business. So why aren’t other publishers cashing in?
Automation and streamlining are key
Small deals need to be aggregated efficiently to generate maximum returns. Think of it like a commercial fisherman using a trawler, rather than angling for individual herring. That means fewer touchpoints, faster turnaround times, and more flexibility.
There is a technical solution to the problem: self-serve advertising platforms. Much like Facebook and Google’s demand-side ad markets, self-serve platforms shift the workload from the publisher to the ad buyer. They also reduce turnaround time and lower the barriers to entry for potential advertisers. If anything, automation and streamlining free up more time for sales to focus on the big fish. Meanwhile, small deals are diligently collected en-masse by the self-serve platform, empowered by sales and marketing.
A point worth considering is that the SME segment doesn’t necessarily plan and create their campaigns during regular office hours when the publishers’ sales teams are available. Self-serve enables the publisher to offer 24/7 service and support.
Of course, adopting a self-serve platform doesn’t mean you should stop catering to key corporate accounts. How do you decide which deals to process manually and which can be handled by self-serve? One way to do this is to set a budget threshold. This way, you can split ad deals into managed accounts (anything over $10,000, for instance) and self-serve deals (any deals below that range).
Brand safety and editorial oversight
It’s undeniable that Facebook, Google, and Amazon are essential tools for most modern businesses, and a reasonable choice for SME advertising. However, Big Tech platforms present certain problems that are leading many marketers to look for alternative solutions.
A growing issue is brand safety – the need to protect the advertiser’s image and reputation from negative associations. In recent years, Big Tech platforms have been subject to increased scrutiny, including the infamous “Adpocalypse” of 2017 where major brands pulled their ads from YouTube as a reaction to content deemed contextually toxic.
YouTube has experienced at least three similar major incidents since then. And Facebook has received similar flak, in part for a perceived slowness to remove offensive or illegal content. In June 2020, more than 1000 companies boycotted Facebook as part of a campaign organized by activists, #StopHateForProfit.
Digital publishers are able to offer a more reliable standard of brand safety with more editorial oversight of their platforms. This can be important for SMEs as for corporations. In an age in which brand missteps can be instantly captured, curated, and communicated across the internet and social media, companies of all sizes are becoming more cognizant of the risks of where and how they advertise.
Self-serve advertising is a commercially effective model for platforms like YouTube and Facebook. However, the fact that they are built on user generated content makes it a sort of Wild West for advertisers. By contrast, publishers with control over the content they put out are able to leverage the scale benefits of self-serve without posing the same risks to brand safety. For publishers tired of blacklisting advertisers (a common issue with programmatic), self-serve offers ease of mind. That’s because ads are manually approved by the publisher, which is actually the only hands-on step of the process for publishers.
SME = big opportunity
Self-serve advertising is undoubtedly on the rise. Brands that have adopted the technology include traditional publishers like Hearst Magazines (Vanity Fair, Elle, GQ), respected newspapers (Bloomberg Media Group, The Atlantic), travel publishers (Tripadvisor, eDreams ODIGEO) and streaming platforms (Roku).
Some publishers may balk at the idea of automating their main source of revenue, and no wonder. But the most common approach is to start by funneling small and medium deals through self-serve, rather than all deals from day one. In other words, it’s far from an either-or choice. Once fully incorporated within the business model, the threshold can be significantly increased.
Still, self-serve advertising is a fundamental game changer for digital marketing and it will take time for publishers to adjust to the new paradigm. With that said, SMEs have demonstrated both a willingness to spend and a desire to use self-serve to place their ads. As traditional publishing is being turned on its head, publishers can’t afford not to serve SMEs.
In the immortal words of Alec Baldwin in Glengarry Glen Ross: “they’re just sitting there, waiting to give you their money. Are you gonna take it?”
Audiences are spending more time than ever consuming content. Still, even an explosion in digital subscriptions couldn’t prevent massive job cuts across the nation’s newsrooms. Any argument that closures hit companies that churned out poor quality journalism or fake news falls flat when looking at the data. Of the 10 newspapers that have earned Pulitzer Prizes for local reporting in the past decade, all but one were impacted by cuts in the last year.
Why is online news in a crisis? There are lots of theories. Many point to the impact of the Google/Facebook duopoly. The two behemoth companies gobble the bulk of ad revenue, leaving scraps for news organizations. Others suggest that the digital media industry itself is to blame. Ethan Zuckerman points to the “original sin” of building the entire Internet around advertising, putting algorithms, not audiences, in control.
New research confirms that media organizations need to do a critical rethink, but not just of the business model. It appears that media organizations are relying on a faulty content-creation and evaluation formula. The good news is that there’s plenty they can do to rethink storytelling to better engage and monetize audiences.
The findings, part of the Clwstwr Policy Brief project, reveal that audiences prefer “inclusive and reflective” storytelling models that help them understand and navigate their world. This, the research says, “challenges the perceived – and long-established journalistic principle – that the inverted pyramid model of news storytelling is the most efficient way to deliver news.”
The traditional approach for news — arranging facts in descending order of importance — lacks creativity and flexibility. What’s more, the research says this style alienates younger audiences that crave a “more thoughtful, considered and purposeful approach” to online news. They want it to reflect the reality of their lives, rather than industry norms.
Media organizations have an opportunity to rethink the way that they report the news. And, with new formats, they can encourage consumers to engage more actively with content.
Researchers created a series of different prototypes for news storytelling. Each used a linear narrative style and addressed the question of content with a user-focused “what do I need to know?” approach.
Continuing with our series of video interviews, I talk to the lead author of the report, Shirish Kulkarni, an award-winning journalist and researcher. He makes a case for a complete rethink of news storytelling models. He shares the “seven building blocks” that successful news stories have in common. These include a linear narrative, personal context, and transparency about where the information comes from in the first place.
Kulkarni also walks us through the “narrative accordion,” a prototype model that gets high ranks from readers because it allows them to sort and skim through the key elements of a story on their terms. Finally, he discusses how news organizations can drive meaningful engagement and revenues by harnessing AI to “individualize” content at scale.
WATCH OR LISTEN TO THE FULL INTERVIEW
FULL TRANSCRIPT
Peggy Anne Salz, Founder and Lead Analyst of Mobile Groove interviews Shirish Kulkarni, a researcher focused on identifying and prototyping innovative forms of news storytelling.
Peggy Anne Salz: Mainstream journalism is in crisis. Now we may think it’s due to a lack of trust or a lack of interest, but new research suggests people aren’t consuming news because the wrong stories are being told in the wrong way, by the wrong people. Now, new storytelling models, provocative prototypes, new building blocks.
They may offer the answer and we get the inside track on this and more today on Digital Content Next. I’m your host as always Peggy Anne Salz, mobile analyst, content marketing consultant, and frequent contributor to DCN. My guest today is an award-winning journalist and researcher, who’s going to share eye-opening results of his latest research project that goes to the core of what is broken in online journalism and how to fix it. Shirish Kulkarni welcome to Digital Content Next. It’s great to have you.
Shirish Kulkarni: Thank you very much. It’s great to be here.
Salz: Now you’ve got our attention with these results, the wrong people, doing the wrong thing, in the wrong way. That is something pretty provocative. You spent the last two years asking these fundamental questions about journalism, and now you’ve come up with a construct for a model of what you call reflective journalism. Now it’s not just, you. It’s had global impact. You’ve presented it at Reuters Institute, World Association of News Publishers, and many more. Tell us what is reflective journalism.
Kulkarni: Yeah. So I think we have…well, I have two reasons really, for calling it reflective journalism. Firstly, I think it’s important that we, as journalists, reflect on what journalism is for, right? What the needs of audience is rather than our organizations. Because that’s something that’s really been missing a lot in journalism. And we need to take the time. We’re in a crisis, as you said, and we need to take the time to stop and think, what are we doing wrong? What could we do better?
The second reason is that it also is super important that our industry is much more genuinely reflective of society. So, largely, if we’re talking about Western Europe or the U.S., this is a very homogeneous industry. And frankly, it’s driven largely by white, middle class, Metropolitan men, for the most part. And actually, when you think about it, that is a really small proportion of the population. And they don’t reflect, or frankly, understand the experiences, the day to day lives of most people in society. And as journalists, I think it’s our job to reflect what’s going on in society. And I don’t think as an industry, we’re actually structurally prepared to do that. So, two reasons for calling it reflective journalism, because we need to reflect both on the industry and also reflect society.
Salz: And it’s interesting Shirish because you’re making this point that. We need to reflect, and we’ve done that in a way you could even say we’ve been forced to reflect. Let’s put it that way. So we do know what is broken in principle at the core you’re stating it’s all about new forms of narrative. We need new forms of narrative. This is actually very good news because we know what is broken. We know how to fix it. And this is where your policy brief, your news storytelling, storytelling research hits upon the answer. You propose linear narratives. Now, how does this differ from what we’ve been doing? Because what we’ve been doing is the inverted pyramid style. So what makes linear better?
Kulkarni: It helps to start by thinking, why do we do the inverted pyramid, right? And actually, the kind of prosaic reason for that is because of the telegraph, the original news wire. But actually, the telegraph, when it was used widely, was expensive and unreliable. So people thought, let’s put all the important stuff right at the top, because then it’s cheaper. And if it drops out, then we haven’t lost too much of the important stuff, we’ve lost some of the boring stuff, right? So, technology has clearly moved on by about six generations since the telegraph. But largely, we are using those same habits and formulas, which come from the telegraph era. So that is strange in and of itself. So that’s why we use the inverted pyramid now. And actually, there’s not really a reason for it anymore.
When I talk about why writing linear stories is better, or producing stories of whatever kind, whether that’s text or whatever, in a linear format is better, we just go back to what are stories for? And stories are there for a kind of evolutionary, anthropological, there’s a neuroscientific basis for storytelling. They help us navigate the world. If you wanted to bring in kind of modern day techniques, they’re like a virtual reality simulator for the world. That’s what stories teach us. And I’d really recommend a book by Jonathan Gottschall, called “The Storytelling Animal.” And in that, there’s a really beautiful quote, where he says, “We are, as a species, addicted to story. Even when the body goes to sleep, the mind stays up all night, telling itself stories.”
And so, we know that to be true, right? But those stories aren’t told in inverted pyramid style. They’re told as a linear narrative. Starting at the beginning and ending at the end. And that is what we’re hardwired for as human beings. But as journalists, if we’re writing in an inverted pyramid style, we’re essentially going against what we’re hardwired for. We’re putting up a barrier between the storytelling and the engagement with a story, from the get go. And that, again, is not logical. It’s not rational. It doesn’t make any sense.
So actually, just on that kind of linear storytelling, we built a bunch of prototypes. But actually, what I was really interested in testing, for exactly the reasons you’re interested is, what if it was just linear storytelling, there’s no other formatting, would people find that interesting? So we did a prototype, which we just called kind of a plain text, dramatic prototype. And that was literally plain text, writing a story, sort of casting it quite badly, in my own opinion, because I wrote it, in a kind of three act dramatic structure, like we were just talking about. And the results from that were absolutely startling.
We tested it with more than 1300 people, against options of news which were currently available to them. And what we got the people to do was essentially, say whether they thought that it was more engaging, more informative, and more useful. And we created, I guess, a net approval rating. So on the kind of engaging axis, people have found just a plain text narrative more engaging than a BBC story, or an ITV story, or Sky News story here in the UK. The rating for that was plus 57, not 57%, plus 57, of the positives against the negatives. On informative, it was plus 41. And on useful, plus 37. So those are big, big numbers. And in some ways, you’d say for news organizations, they’re a no brainer, right? If you can, tomorrow, do something which is more engaging, more informative, and useful by big margins, just by essentially changing the structure of your story, why wouldn’t you do that?
Salz: Now we’ve had some companies here on Digital Content Next, they have been sharing what they’re doing and they are already taking a more modular approach to news and to storytelling. So there are companies moving in this direction. They understand that just by encouraging readers to skim, they’re not really driving engagement. And they have to do it in a different way. They need to break down the stories. How can news organizations further improve what they do to draw their audiences in? What is it that you’re telling them?
Kulkarni: So the very first thing is clearly thinking about what the audience, what citizens want, right? So when I was writing my prototypes, really, the first thing was to blank my brain. I’d tried to forget all the conventions of journalism, and ask myself the question, what do I actually need to know about this story to help me understand this? Rather than, what would a journalist normally write here? Because those two things are actually surprisingly different. And I think it’s where I think the kind of practice of journalism has become quite disengaged from the purpose of journalism. And as you say, there’s lots of hand wringing over, you know, people in newsrooms looking at analytics, when they are looking at analytics, and probably not enough people are sort of hand wringing over, well, people only spend 10 seconds on our page. Well, kind of, of course, they only spend 10 seconds on your page if you write an inverted pyramid style, where you’ve put in the headline, and in the first paragraph, something that looks like everything you need to know about that story. And then people think, well, actually, it gets more boring, and less interesting as I go down.
Now, actually, the truth is, it’s not everything you need to know about the story, because we all know, headlines don’t represent a story. They’re largely used as a sales technique. And the first paragraph often is a kind of one side of the story or just a really quick summary. But actually what people are telling us they want routinely, and not just me, in lots of research, they want more context around a story. What we tend to do is drop people into an on the day story, just on the day. And not everyone consumes news in the same way as journalists, right? They don’t read the news necessarily every day or every hour. We need to explain to them what’s led up to this point, and actually to some extent, what’s going to follow from this point. And so, actually providing all those things as a service, because yeah, journalism is a service, again, something which we forget. Then all those things are going to help people engage.
Salz: News as a service, you’re absolutely right here. And you’re also talking about what news organizations need to do to embrace the linear approach. Fortunately, it’s something they don’t have to do on their own because your research also shows that it’s really about collaborating, co-creating whatever you want to call it with AI to keep reader attention, as the story unfolds. Even determine the best starting points in the news. Ways to draw the audience in. So how does this collaboration working with AI? Look, what is the role of AI to get people to come into the story and stay?
Kulkarni: Lots of journalism organizations are using AI very well now, already. And so this is going to be the future of journalism. The next stage of journalism will be driven by automation and AI. So we have to be in that space. And I think the starting point is, look, right now online news is largely just newspaper articles put online, right? We’re not using, we’re not taking advantage of all the digital and technical storytelling tools that are available to us.
And I think what we’re seeing is that we should be in a post-article world, right? We can’t provide, or we shouldn’t be providing exactly the same article to everyone, right? We can’t be all things to all people. And where that leads to is personalization, essentially. That actually, we can provide news, information, in a way that is personalized to meet individual user’s needs in a really efficient way. So that might be, for example, I’m based in Wales, where we have quite a big immigrant community as well. If I’m a Chinese person living in West Wales, accessing BBC Wales’s news, wouldn’t it be interesting if I could access that in my first language, even though it’s news about Wales? That’s going to be more accessible to me. Working in that modular way, where we’re taking out a lot of interstitial language, we’re building short modules of information, which we’re putting together in different ways for different people. That, for example, takes out a lot of translation problems. It actually takes out a lot of inherent bias that exists within us as journalists. So it’s more accessible and more inclusive in that way.
So providing fact-based modules of journalism, that can be put together in different ways, by AI, to match the personalization preferences of users, citizens, audiences, has to be one big part of the future of journalism, I think.
Salz: That’s fascinating Shirish because we did start with personalization in news. It was about the categories asking audiences to choose the categories they wanted. Now it’s about personalization taking that personalization to a next level, a new level. And we agree it’s about the audience. It’s also about context, transparency, diverse perspectives.
Now these are the guiding principals, but it also comes down to the experience and that’s where your research also offers some answers. You’ve come up with ways to allow a different experience for different readers. The linear story is the concept, but you have accordions, timelines, videos. What can you tell us about the best on-ramp right now for organizations listening in, they want to know what is the best way to make the biggest difference in their stories and their metrics?
Kulkarni: The narrative accordion is really my favorite prototype. And actually, the favorite generally, with users. And what we’ve done here, essentially I’ve gone back to the basics and asked myself the question, what do I need to know about the story? What’s going to help me understand it? And I put these kind of expandable and collapsible questions, which means that people can either read them from top to bottom, so they make a linear story from top to bottom. Or if you’re interested in a particular question, such as, is this a green solution? I can go straight to that and check out the answer to that first, and navigate around exactly how I want it. Because what audiences really told us they wanted was some agency in storytelling. They wanted to be able to decide how they navigated the story. And we all understand that, don’t we? Like, when we go to find something out ourselves, we remember it better. We understand it better, because we feel like we’ve been part of that investigation process.
And as I say, the narrative accordion overall, in our testing, did really well. So basically, 75% and upwards, comparing the narrative accordion to options which are available to them in the general market, said it helped them understand the story better, and was more engaging.
Now, again, going back to the commercial needs or publishers, if you can do tomorrow, this doesn’t take a lot of kind of tooling or engineering, you could do tomorrow, something which more than 75% of people say helps them understand the story better, and is more engaging. Now, that, in a commercial sense, to me, is a no brainer, right? If you can do that tomorrow, why wouldn’t you?
Salz: That makes perfect sense. Absolutely. It’s a no-brainer and there’s no reason not to pursue that, but you’ve also found something else interesting in your research. You’ve found out that we are hard-wired, literally for the hero story or the heroine story. We want to have that arc of the story. Now, how can organizations apply that to journalism and still keep a credible balance? Because of course, drama can quickly become melodrama. It can become exaggeration very easily. So how do they approach this to give us the story? But again, also the engagement, because that’s the way of generating revenues.
Kulkarni: So, I see the tension, I’m all for kind of fact-based journalism, which sometimes, we get into kind of click bait stuff, which is about creating a particular kind of drama, right? When I’m talking about, this kind of hero, heroine story, it’s that fundamental evolutionary need for a particular kind of story, which you might describe as essentially, a fairy tale, is a great example of that. It’s why they’re so popular and successful. And that could be by just thinking about who are the characters in this. We don’t have to go off into kind of writing “non-objective,” but I’m going to put objective in quotation marks there, “non-objective” stories. What’s the sense of character, a resolution as well, because fairy stories always have a resolution. And new stories very rarely have a resolution. And actually, at that evolutionary level stories which don’t have a resolution leave us feeling uncomfortable.
So actually, that’s where we get into kind of news avoidance, because so much of our storytelling is inverted pyramid storytelling. Leaves us feeling uncomfortable and unresolved. So that’s a really important point as well.
Salz: So the answers here are context, narrative, linear narrative, AI, imagination, innovation, engagement, but achieving this, internalizing, this can take time, maybe even other talents. So what would you leave us with here? Give me a few steps news organizations can take right now to change the old habit.
Adopt the new model, adapt the new prototypes that you’re proposing such as the accordion, and also integrate AI more into this process. What can they do that they’re not already doing?
Kulkarni: When I started doing my research, I think people wanted me to come up with some kind of nonlinear gamified piece of storytelling, innovation, right? And I quickly realized that’s like putting a $100,000 kitchen in a house which doesn’t have a roof, right? We need to sort out the fundamentals. It’s journalism which is broken, and we need to fix that.
So, that comes down to understanding the user need, the audience need, remembering that journalism is for citizens, it’s for people. It’s not for journalists. So our audiences shouldn’t be other journalists. They should be what people really want from journalism. And so we need to listen to that research, not going with preconceived ideas of what we think journalism should be like in the future. We need to listen to what people actually want from journalism and then action that. And in terms of the storytelling, yeah, I think it’s using personalization, meeting people where they are, meeting their needs. And to do that, we need to leverage AI, essentially. Because to do that at scale, we need to use automation.
People want that information, they do want to understand the world, they do want to engage with it, but they’re feeling let down by journalism at the moment. So there’s repressed kind of need for that, which we can tap into. And actually, yeah, people are willing to pay for that if they get something which meets their needs. I talk about it in terms of, if you were working at Procter & Gamble or Unilever, and you never listened to your customers needs, you just carried on doing what you’ve always done without thinking about what you need to change, then you wouldn’t work at Procter & Gamble or Unilever for very long. But actually, in journalism, that’s what we do. We just carry on doing the same thing we always did, because we like doing it and we know how to do that. Regardless of the fact, we know people aren’t engaging with it or consuming it. So, there’s a really clear, hardnosed business model for doing storytelling better.
Salz: Shirish, I can’t thank you enough for sharing and, yes, for being exactly like your research, open, transparent, a bit provocative. It’s been great to have you.
Kulkarni: Thank you so much. It’s been a real pleasure.
Salz: Thank you. And of course, thank you for tuning in taking the time.
Of course, more coming in the series around how media companies are taking charge of changing their business and also increasing revenues. And in the meantime, be sure to check out digitalcontentnext.org for great content and including a companion post to this interview. And of course, join the conversation on Twitter at DCNorg until next time I’m Peggy Anne Salz signing off for Digital Content Next.