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Key takeaways from the Future of Measurement webinar

As communications professionals look toward 2026 planning sessions, one question dominates the conversation – How can we use AI in a safe, scalable, and sustainable way?

Behind this question often lies the hope for an “AI easy button“—a one-click solution for complex measurement challenges. However, as discussed in our recent APAC webinar, the real opportunity lies not in automating old metrics, but in architecting a smarter era of measurement.

Hosted by Russ Horell, Isentia’s Chief Revenue Officer for APAC, the session featured deep dives from two industry leaders who’ve contributed immensely to research and planning: Ngaire Crawford (Director of Insights, ANZ) and Prashant Saxena (VP of Research and Insights, SEA). Together, they unpacked the transition from using insights and converting them into strategic, measurable storytelling.

Here are the key takeaways from the discussion.

1. From experimentation to transparency

If 2024 and 2025 were the years of “playing in the sandbox,” 2026 is set to be the year of transparency.

Ngaire Crawford emphasized that while AI is incredible at summarising data and recognising patterns, it does not automatically generate insight. As we integrate these tools, the focus must shift to methodological integrity—understanding the source data, the structure, and the limitations of the models we use.

“Models are really good pattern finders. But they don’t necessarily set what good looks like, or understand the consequences of being wrong. And the antidote to that is always going to be good design.” – Ngaire Crawford

2. “More data, better insight” is the misconception

A major misconception remains that feeding AI endless amounts of data will naturally result in better answers. In reality, without the right framework, more data often just creates more noise.

Prashant Saxena warns against the “sameness” that AI can generate. If everyone uses the same models on the same big data sets without specific objectives, they will get similar, generic answers. The role of the insights professional is evolving from descriptive reporting to strategic storytelling—using judgment to break through the “echo chamber” of AI validation.

3. Kill, keep, create: redefining our metrics

The panelists played a game of “keep, kill, create” to determine the future of measurement metrics.

  • Kill: The panel was unanimous in moving away from vanity metrics. Ngaire called for the end of Cumulative Reach, noting it is a biased metric that offers no context. Prashant agreed, suggesting that AVEs (Advertising Value Equivalents) need to be finally left behind.
  • Keep: Share of Voice remains useful as a foundational benchmark (a “census” of market presence), provided it is redefined to measure the share of a specific idea or perception rather than just volume
  • Create: The future lies in Authenticity Metrics. Prashant argued that while reputation is a downstream outcome, authenticity is the upstream outcome that drives it.

“Authenticity is more upstream, as reputation and trust are more downstream… That’s an authentic ritual on a day-to-day basis, which leads to reputation.” – Prashant Saxena

4. The “home field advantage” for communicators

Despite the technical buzz surrounding AI, the panel argued that communications professionals hold a distinct advantage. “Prompt engineering” is, at its core, a language and communication skill.

The future doesn’t necessarily belong to the most technical users, but to the most articulate—those who can clearly define an outcome, ask the right questions, and deconstruct language to get the best result from a model.

Trust your judgment

As we move into 2026, the advice from our experts is to not let AI replace your strategic point of view.

  • Have an opinion: Don’t wait for metrics to be imposed on you. Go into conversations knowing what you want to measure and why.
  • Pause before you prompt: As Prashant advised, “Paper before a chatbot.”. Define your strategy and objectives on paper, using your human experience and judgment, before turning to AI to execute the work.

By combining the speed of AI with the nuance of human strategy, communicators can finally build the sophisticated measurement systems they have always wanted.


Interested in viewing the whole recording? Watch our webinar here.

Alternatively, contact our team to learn more insights into meaningful measurement, KPIs and communicating using the right dataset.

The post Key takeaways from the Future of Measurement webinar appeared first on Isentia.

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