This article was published in 2026 and references a historical event from 2019, included here for context and accuracy.
- Tension: Industry predictions often chase emerging technologies while overlooking the user experience fundamentals that actually determine success.
- Noise: The annual prediction cycle rewards novelty and platform speculation over the less glamorous insights about infrastructure and experience.
- Direct Message: The predictions that proved most valuable identified shifts in how platforms would be evaluated, not which platforms would win.
To learn more about our editorial approach, explore The Direct Message methodology.
In December 2019, DMN gathered digital experts to forecast what marketers would need in 2020. The predictions spanned contextual ecommerce, people-based marketing, IoT advancement, real-time personalization, and partnership ecosystems.
Six years later, reviewing these forecasts reveals a clear pattern: the predictions that aged best weren’t about which platforms would dominate. They were about how the rules of the game itself would change.
Among the most prescient was Justin Choi’s warning about the “latency tax.” The Nativo CEO and founder argued that publishers would need to address the slow-down from trackers and ad tech that hurts user engagement, audience growth, and ultimately monetization.
At the time, this might have seemed like a technical concern, a backend issue for developers rather than a strategic priority for marketers. Within two years, Google would make it a ranking factor.
When a technical warning became an industry mandate
In June 2021, Google began rolling out its Page Experience update, introducing Core Web Vitals as official ranking signals. These metrics measure exactly what Choi had flagged: loading performance, interactivity, and visual stability. Google now explicitly recommends that site owners achieve good Core Web Vitals scores for success in Search.
The prediction about latency wasn’t describing a temporary concern. It identified an emerging standard that would reshape how the entire industry thinks about user experience. Publishers who dismissed page speed as a technical detail found themselves penalized in search rankings. Those who had already prioritized experience infrastructure gained measurable advantage.
Research from Sistrix confirmed the impact: websites failing Core Web Vitals requirements ranked 3.7 percentage points worse than compliant competitors. For commercial websites competing in crowded search results, that margin translates directly to traffic and revenue. The “latency tax” Choi described in 2019 became a literal ranking penalty by 2021.
What made this prediction valuable wasn’t technical specificity. It was the recognition that user experience would shift from a nice-to-have differentiator to a measurable, algorithmically enforced requirement. The prediction identified the direction of industry gravity before the platforms codified it.
Platform predictions versus pattern recognition
Compare the latency prediction to others from the same forecast. Experts anticipated contextual ecommerce growth through YouTube, Instagram, and Dailymotion. Social commerce did explode, reaching $87 billion in US sales by 2025.
But the platform that drove much of that growth, TikTok Shop, didn’t exist when the predictions were written. It launched in September 2023 and grew 407% in its first full year, commanding 18.2% of US social commerce by 2025.
The directional insight proved correct. The platform specificity proved worthless.
Similarly, predictions about third-party cookie deprecation and “people-based, open-web-friendly marketing” described a privacy-first future that should have arrived by now. Instead, Google announced in July 2024 that it would not phase out third-party cookies in Chrome after all.
Years of preparation, millions in investment toward cookieless solutions, and the predicted transformation simply didn’t materialize as expected. In April 2025, Google confirmed it would not even introduce a user choice prompt for cookies, keeping them enabled by default.
The cookie predictions focused on a specific technology change. The latency prediction focused on how platforms would evaluate quality. One proved fragile; the other proved durable.
The insight that separates valuable foresight from speculation
Predictions anchored in user experience fundamentals outlast predictions anchored in platform features. Technologies and platforms shift constantly. The direction of user expectations moves more slowly and more reliably.
This pattern extends beyond the latency prediction. The 2019 forecast about blended-channel experiences, combining digital self-service, AI-powered chat, and offline interaction, described exactly what pandemic conditions would accelerate.
The partnership prediction about brands and publishers seeing each other as collaborators rather than islands proved essential when rapid adaptation required ecosystem flexibility.
These predictions shared a common trait: they described how relationships between brands, platforms, and users would evolve rather than which specific technologies would enable that evolution. They identified forces rather than features.
Applying this lens to current forecasts
For marketers evaluating 2026 predictions and beyond, this retrospective suggests a filtering framework. When encountering forecasts, ask whether they describe platform features or user expectations.
Platform features change at the speed of product roadmaps and competitive pressure. User expectations change at the speed of cultural adoption, which moves more slowly and provides more reliable signal.
The latency prediction worked because it identified something users would increasingly demand and platforms would eventually enforce: fast, stable, responsive experiences. Whether that enforcement came through Google’s ranking algorithm, Apple’s privacy frameworks, or user abandonment patterns, the underlying expectation was moving in one direction.
Social commerce succeeded for similar reasons. Users wanted to purchase within content environments without friction. Which platform delivered that experience mattered less than the fact that some platform inevitably would. Marketers who built infrastructure adaptable to multiple platforms captured value regardless of which specific app dominated.
The cookie prediction failed partly because it assumed regulatory and competitive pressure would force a specific technical change. When that pressure proved insufficient, the predicted transformation stalled. Predictions dependent on external forcing functions carry more risk than predictions dependent on user preference momentum.
Six years after these forecasts were published, the lesson isn’t that prediction fails. It’s that prediction serves different purposes depending on what it predicts. Forecasts about specific technologies provide conversation starters and planning scenarios. Forecasts about user experience standards and platform evaluation criteria provide strategic direction that survives technological volatility.
The experts who contributed to DMN’s 2019 roundup offered both types. The predictions that proved most valuable, like the warning about the latency tax, identified where the industry’s definition of quality was heading. That insight remains relevant today, even as the specific platforms and technologies continue to shift beneath it.
