How can PR be data-driven when the data isn’t perfect?

  • Hannah Kitchener
  • Associate Director
  • May 18, 2026
AI-generated image from Google Gemini
Data is playing an increasingly central role in how PR is planned, evaluated, and justified. But in industrial B2B sectors, that data is often fragmented, indirect, or delayed. Understanding how to work with those constraints is what turns data from a reporting exercise into a decision-making tool.

Key takeaways

• PR data is often fragmented, indirect, or delayed, particularly in industrial B2B sectors with long buying cycles and complex stakeholder journeys.

• High-volume metrics do not always reflect commercial value; smaller signals from specialist audiences can be more meaningful.

• Reliable insight comes from combining multiple sources of data and identifying patterns over time rather than relying on isolated metrics.

•  Qualitative feedback, market context, and professional judgement remain essential for interpreting PR performance accurately.

Over the past few years, a consistent question has emerged from both current and prospective clients: how can PR become more data-driven?

It reflects a broader shift in expectations. Communications is no longer judged solely on activity or output, but on its contribution to business outcomes and data offers a way to bring structure and accountability to that conversation.

Yet in PR, the data rarely presents a complete or straightforward picture.

There is no shortage of information available. Media monitoring platforms, analytics tools, search data, social listening, and email performance each provide a view of activity and engagement. The difficulty lies in how these sources relate to one another.

They measure different things, in different ways, often based on estimates or partial visibility. Automated traffic, privacy restrictions, and zero-click search further limit what can be observed directly. The result is a landscape where data is abundant but not always aligned or directly comparable.

What data can – and can’t – show

Understanding these limitations is an important starting point.

Some metrics reflect potential reach rather than actual engagement. Others capture interaction without revealing intent or relevance. A high volume of activity does not necessarily translate into meaningful impact.

At the same time, smaller, more specific actions can carry greater weight. A handful of engineers downloading a technical specification may represent more commercial value than a large volume of low-intent clicks.

There are also forms of influence that leave little visible trace. Senior audiences often engage selectively, sharing information privately (known as dark social) or acting on it later. These interactions contribute to decision-making but rarely appear in dashboards.

Timing adds another dimension. In industrial B2B sectors, purchasing decisions develop over extended periods. PR activity may support that process without generating immediate, measurable responses. Its impact often sits within a wider sequence of interactions rather than a single moment of conversion.

Taken together, these factors mean that PR data tends to be partial. Useful, but incomplete.

Making data work in practice

If the data is incomplete, being data-driven becomes a question of how it is used.

Focus on what matters most

Measurement is more useful when it reflects business priorities. Broad indicators such as media mentions or impressions can provide context, but more specific signals – engagement from relevant audiences, interaction with technical content, or repeat visits – often carry greater significance.

Clarity on what constitutes meaningful impact helps determine where attention should be focused.

Look for patterns across sources

Each dataset offers a partial view. When considered together, they become more informative.

Media coverage, search activity, and on-site engagement can be analysed in combination to identify consistent trends. A shift that appears across several sources is more likely to reflect a genuine change than an isolated data point.

This approach focuses on how different signals reinforce one another, helping to build confidence in what the data is indicating – even where individual metrics are imperfect.

Track movement over time

Individual results can be difficult to interpret in isolation. Trends provide stronger direction.

Changes in audience engagement, visibility within relevant media, or the volume of branded search can indicate whether communication is gaining traction. Observing how these signals evolve over time offers a more stable basis for decision-making than focusing on short-term fluctuations.

Use qualitative insight to add context

Some of the most valuable indicators of PR impact are not numerical.

Feedback from sales teams, customer conversations, the tone and quality of media coverage, and industry response all contribute to understanding how communication is being received. These inputs help explain patterns in the data and highlight areas that may not be captured through analytics alone.

Connect PR to wider business activity

PR activity sits within a broader commercial system, and its contribution is often best understood in that context.

Looking beyond communications metrics to indicators such as pipeline movement, inbound enquiries, or shifts in sales conversations provides a clearer view of how PR supports business objectives. These connections are rarely direct or immediate, but over time they help establish how communication contributes to demand and decision-making.

This requires access to insight beyond the communications function, as well as alignment between teams. When that visibility is in place, PR can be evaluated as part of overall business performance rather than in isolation.

A more practical understanding of data-driven PR

Taken together, these approaches provide a more workable definition of what ‘data-driven’ means in a PR context.

Data supports decision-making by highlighting patterns, surfacing questions, and providing evidence that can be tested against experience and market context. Its value lies in how it is interpreted and applied.

At the same time, not every outcome can be measured directly or immediately. Influence often develops gradually, and some of its effects remain outside direct observation.

Working effectively with data is, therefore, about building a well-informed view from multiple sources and using analytical capability along with professional judgement to guide action with confidence.

If you are reviewing how you measure PR impact — or want a clearer understanding of what your current data is showing — SE10 can help you develop a more structured and practical approach. Get in touch to start a conversation.

Hannah Kitchener

Associate Director

About the author

Hannah is an associate director in the UK, leading strategic campaigns for industrial clients across the EMEA region. A professionally qualified journalist (NCTJ), she combines specialist sectoral knowledge in construction, energy, and materials handling with a strong network of trade media contacts to secure valuable coverage. Her expertise in inter-cultural communication, honed by degrees in modern languages and translation, is key to executing campaigns that succeed across diverse European markets.

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