Although almost indigenous to development studies, sustainability initiatives, donor projects, and programme reports, Monitoring and Evaluation (ME or M&E) remains at the core of communications governance. It is PR’s bread and butter when it comes to convincing leadership, understanding the issues, reporting campaign visibility, tracking reputation and identifying the brand’s place in public conversation.
Founders, investors and the board require a clear demonstration of how corporate communications has moved the needle so their decisions can be guided by the narrative being compounded, increased mentions in the right conversations, and the company’s perception. Return on investment (ROI) is when the board is convinced about value for money. This conviction comes from the company appearing on sector-specific platforms, being cited in generative AI overviews and taking centre stage at industry conferences and events.
M&E and ROI intersect in the Theory of Change (ToC) – where the success and impact of public relations execution are benchmarked against broader business objectives to ascertain what changed. The theory is a strategic framework that uses “backward mapping” to clearly define how and why communication tactics will lead to a desired long-term goal – which in this case is the ROI. It connects the comms team’s daily work to its final impact by charting every step, action, and result in between.
Beyond Numbers that Feature Figures Without Advancing Arguments
Public relations shouldn’t hide behind numbers but must be explicit about the changes each figure represents. That is the documentation that supports decision-making. Random media mentions – no matter how high – in outlets your audience never reads aren’t ROI but noise. PR must detail how its efforts are hitting set targets per: outpacing competitors in share of voice, sentiment analysis, message pull-through, brand search, robust media relationships, and business impact.
A single placement in the right niche publication, read by the exact buyers and investors you’re trying to reach, is worth more than a syndicated mention viewed by millions of people not out to buy your product or fund your company. M&E may report that a company announcement had 50 million impressions and was read by the right 100,000 people; ROI is interested in whether this has resulted in the market better understanding of the company.
In this Golden Age of Strategic PR, comms teams can’t continue basing campaign success on outdated KPIs like Advertising Value Equivalency (AVE), media pickups, potential reach, followers, impressions, and referral traffic. The staying power of these vanity metrics is because they are the easiest answers to the tough question of “What did the tactic actually achieve?” – not that they’re able to predict anything!
They are not balance sheet items like ROI but live in the marketing budget line. AVE, for instance, is the practice of pricing coverage as though it were an advertising buy. Yet, it is silent on whether the coverage actually converted or created sales funnels. Besides, the Institute for Public Relations has dismissed advertising value equivalency because the multipliers it uses aren’t scientifically supported and studies have shown that editorial coverage does not behave like paid ads.
The board would be pleased when the communications team’s latest report arms them with answers – not just a concatenation of numbers. PR teams must therefore be good at interpreting data points, using numbers to demonstrate the significance of activities on the field. When the Chief Financial Officer (CFO) gets a concrete report, they will basically start calculating the ROI in their head!
Answers ROI Seeks from M&E
Given the huge spend on public relations to influence perception, build credibility, and ultimately support business outcomes, the least the function can do is to provide the leadership with answers to the following questions:
AI Discoverability: The Paradigm Shift PR Sorely Needed
Artificial intelligence systems have shaped the communications landscape by matching brand stories with searches. Being discoverable trumps having hypothetical access to millions of potential readers. Buyers are now increasingly starting their search with an AI assistant, not a search bar. When someone asks a tool like ChatGPT or Claude to recommend a solution in your industry, the cited brands are the ones that the large language model (LLM) has learned to associate with that specific quest. Such referrals are ROI minefields.
AI discoverability confirms that the organisation has become part of the information ecosystem people actively rely on to make decisions. When answer engines and generative AI overview identify a company, accurately explain what it does, connect it with the right audience, and reference credible sources supporting that information, the outcome is far more tangible than a report claiming that a press release had a potential reach of 80 million views.
Thanks to answer engine optimisation (AEO), earned media now pulls double duty. As it is reaching the humans who read the publication, a placement substantially shapes how AI systems present or recommend your brand to the much larger audience that privately seeks solutions. Monitoring and evaluation have also been made easy with location-based geofencing, which uses GPS, Wi-Fi, or cellular data to reach ready-to-buy customers nearby.
In the main, when credible publications repeatedly reference your company in connection with a specific problem or category, those citations become what an AI assistant knows and projects about your space. The more credible, consistent, and niche-nuanced a brand’s digital footprint is, the more likely it will be surfaced when users ask questions related to what you do.
