The end of vanity metrics

Digital marketing has found a comfortable space in numbers. Impressions, clicks, views, likes, comments, followers, open rates, time spent or traffic volume fill reports, presentations and dashboards with an appearance of precision that is hard to question. Everything seems measurable. Everything seems comparable. Everything seems to prove that something is happening.

But what really matters is not always happening.

A campaign can generate a great deal of engagement and still contribute little to the business. It can achieve visibility, conversation and traffic, but not necessarily growth. It can increase interactions without acquiring new customers. It can fill a report with positive indicators without improving sales, conversion, repeat business or commercial efficiency. It can even create an impression of success while barely shifting the results that justified the initial investment.

This is one of the great challenges in marketing today: distinguishing between metrics that describe activity and metrics that help us make decisions. Because knowing that a campaign has been seen is not the same as knowing whether it has generated demand. Celebrating an increase in clicks is not the same as understanding whether those clicks have attracted relevant users. Presenting a dashboard full of data is not the same as building a measurement system capable of guiding strategy.

In a context where budgets are reviewed more rigorously and marketing must better demonstrate its contribution to the business, vanity metrics are beginning to lose their force as an argument. It is no longer enough to show big numbers. The underlying question is another: what do these data tell us about the real impact of our actions?

Measuring more does not always mean measuring better. And that nuance is becoming increasingly important. A good report should not merely show that a campaign has been active; it should help decide what to keep, what to change, what to scale and what to stop doing. That is where the difference begins between marketing that reports activity and marketing that genuinely contributes to growth.

The trap of vanity metrics

Vanity metrics have an obvious advantage: they are easy to show. They work well in a presentation, take up little space on a dashboard and tend to offer figures that grow quickly. An increase in impressions, a spike in views, improved engagement or a rise in followers can convey the impression that a campaign is working. The problem arises when these figures are presented as synonymous with impact, without analysing what they actually mean.

Impressions, for example, may indicate that an advert has been shown many times, but they do not explain whether it reached the right people, whether it was remembered or whether it influenced a subsequent decision. Reach may seem positive, but it loses some of its value if it is not understood alongside frequency, context, audience quality or the campaign objective. Reaching many people does not always mean building a relevant relationship with them.

The same applies to likes, comments and interactions. They can be useful signs of resonance, but they can also lead to an overly optimistic reading. The fact that people like a piece of content does not necessarily mean that it brings them closer to buying, improves their perception of the brand or triggers genuine intent. Some content entertains, provokes or accumulates reactions, but does not always help move people along the customer journey.

Clicks can also be misleading. A low cost per click may seem like good news, but it is not if it attracts poorly qualified traffic, users with no intent or visits that leave the page without progressing. Cheaper is not always more efficient. In marketing, paying less for an irrelevant action can be more expensive than paying more for an interaction with genuine business potential.

The same is true of video views. A high figure can give the impression of success, but it is worth asking how long the video was actually watched, in what context, with what level of attention and what recall it generated. Not all views have the same value. Watching a few seconds of a video while scrolling does not necessarily mean that the message was understood or that the person connected with the brand’s proposition.

Growth in followers also requires a more rigorous interpretation. A larger community is not always a more valuable community. If the audience does not match the target market, does not interact meaningfully or has no connection with the category, growth can become a decorative metric. Sometimes, a smaller community that is better aligned with the business delivers more value than a broad and poorly qualified base.

Even website traffic, one of the most common metrics in digital reports, can be insufficient when analysed in isolation. Increasing visits does not necessarily mean improving results. What matters is understanding what those visitors do: whether they read, compare, register, request information, buy, return or move towards a stronger relationship with the brand.

That is why the debate should not be framed as a war against visibility or interaction metrics. These metrics can be useful, especially when the objective is awareness, reach, consideration or creative learning. The problem arises when they are used out of context, as though they were automatic proof of success.

A vanity metric is not necessarily a bad metric. But it needs a question behind it. What decision does it help us make? What behaviour does it reflect? What relationship does it have with the business objective? What part of the customer journey does it illuminate? Without these questions, there is a risk of confusing activity with progress, noise with relevance and volume with value.

Why engagement became a refuge

Engagement became one of digital marketing’s favourite metrics because it seemed to address a very specific need: proving that the audience was reacting. Compared with channels that were harder to interpret, social platforms offered visible, immediate and easily comparable signals. Content was liked, commented on, shared or generated conversation. And this made it possible to build an apparently clear narrative: if people interact, the campaign is working.

Engagement also has a practical advantage: it is easy to explain. No extensive measurement architecture is needed to understand that a post with more interactions has generated a greater response than one with fewer. It is also quick to present, can be reviewed week by week and looks appealing in a report. In environments where activity needs to be justified regularly, these metrics offer a sense of control.

For many teams, these indicators have become a way of keeping the conversation on manageable ground. It is easier to talk about growth in interactions than to open a discussion about genuine business contribution. It is more comfortable to show an upward graph of likes, clicks or views than to explain why a campaign with good surface-level results has not generated qualified leads, incremental sales or new customers.

That is the real problem. Engagement does not only measure a reaction; it often also shields us from more difficult questions. Has this campaign generated demand, or has it merely entertained an audience that already knew us? Has it brought in new customers, or activated the same users as always? Has it reduced acquisition costs, or simply delivered cheap traffic? Has it improved conversion, or merely increased activity at the top of the funnel? Has it generated sales that would not have happened anyway?

These questions are more uncomfortable because they force us to connect marketing with the business. It is no longer enough to show that something has moved. We need to understand whether that movement has had value. And that requires more rigorous measurement, a more strategic interpretation and, in many cases, the humility to recognise that a visible campaign is not always an effective campaign.

Engagement can be a useful signal, especially when analysing the relationship between message, format and audience. It can help identify which content generates interest, which topics connect best or what kind of creative work prompts more response. But when it becomes the centre of reporting, it risks displacing more important questions.

That is why so many brands continue to take refuge in it. It is a comfortable, understandable and easy-to-defend metric. But marketing that aspires to play a strategic role cannot stop there. It needs to go beyond visible reaction and ask what impact that reaction has on the customer journey, investment efficiency and the results that truly matter to the business.

From descriptive reporting to strategic reporting

The problem lies not only in the metrics being reported, but also in the role reporting plays within the organisation. Many marketing reports still function as a summary of activity: how much has been invested, how many impressions were generated, how many clicks were achieved, which posts had the most interaction or which campaigns accumulated the best apparent results. This information can be useful, but it does not always help us decide.

Descriptive reporting mainly answers one question: what has happened? Strategic reporting should go further and help answer a much more important one: what do we do now with what we know?

That difference completely changes the way data are interpreted. It is not simply about presenting results, but about turning them into actionable learning. A genuinely useful report should help us understand which channel is delivering value, which audience responds best, which message contributes to the objective, which investment should be strengthened, which part of the strategy needs adjustment and which actions should be stopped.

That is why a good dashboard should not merely organise metrics, but decisions. If, after reviewing a report, it is not clear what has been learned, which hypothesis has been confirmed or rejected, which budget should be reconsidered or which next step makes the most sense, reporting is probably functioning more as a shop window than as a management tool.

This evolution is particularly relevant in an environment where media investment is fragmented across platforms, retailers, marketplaces, social networks, search engines, publishers and commerce media environments. The more channels are involved, the easier it is to accumulate data and the harder it is to understand what is delivering real value. An abundance of metrics does not remove uncertainty; sometimes it multiplies it.

That is why the sector is moving towards clearer, more consistent and comparable measurement models. IAB Europe updated its measurement standards for commerce media in January 2026, precisely with the aim of bringing greater clarity, consistency and comparability to measurement, taking into account the diversity of business models and levels of market maturity.

This movement is not merely technical. It reflects a strategic need: brands no longer want to limit themselves to receiving different reports from each platform, with different definitions, attribution windows that are difficult to compare and results that are hard to interpret. They need to know how to assess their investments better, compare opportunities and defend decisions with stronger evidence.

In this context, reporting ceases to be an administrative task and becomes a management tool. It is not about producing more charts, but about building a more useful reading of performance. What part of the result can be attributed to a campaign? What part appears genuinely incremental? Which channel is capturing existing demand and which is generating new demand? Which combination of audience, message and format contributes best to the objective?

These questions do not always have a perfect answer, but they are better than merely celebrating a high CTR or a post with lots of interactions. Mature reporting does not remove complexity, but it helps manage it. It makes it possible to move from simply observing data to a more serious conversation about investment, efficiency, growth and learning.

That is the fundamental shift: reporting should not only demonstrate that marketing has done things, but help decide what it should do next.

Metrics that matter when the objective is business

Measuring business does not mean abandoning all traditional marketing metrics or reducing everything to immediate sales. It means organising indicators according to the role they play and the decision they help make. A metric is not important because it appears on every dashboard, but because it helps us better understand whether an action is generating value, whether an investment makes sense or whether a strategy needs to change.

That is why, rather than building an endless list of indicators, it is useful to group metrics according to the type of question they help answer. When the objective is business, it is not enough to know whether a campaign has generated activity. We need to understand whether it has been efficient, whether it has contributed to growth, whether it has attracted high-quality value and whether it has generated learning to improve subsequent decisions.

Efficiency metrics help assess the relationship between investment and outcome. These include indicators such as CPA, CAC, ROAS, cost per qualified lead, cost per sale or conversion rate. They are useful metrics because they force us to look beyond volume and ask how much it really costs to achieve a relevant action. It is not only about generating more clicks or more leads, but about understanding whether the cost of acquiring them makes sense for the business model.

Even so, efficiency should not be confused with an obsessive search for the lowest cost. A campaign may have a very low CPA and attract low-value opportunities. Another may have a higher cost but acquire customers with greater intent, more repeat business or better margins. That is why efficiency metrics need to be interpreted alongside outcome quality. Cheaper is not always profitable, and more expensive is not always inefficient.

Growth metrics make it possible to see whether marketing is genuinely expanding the business. This is where concepts such as incremental sales, new customers, new-to-brand, category penetration or share growth come in. These metrics are particularly relevant because they help distinguish between selling more to people who were already inclined to buy and generating additional growth. Capturing existing demand is not the same as creating a new opportunity.

In commerce media environments, this difference becomes particularly important. A campaign may be attributed sales that might have happened anyway, especially if it reaches users who were already close to making a purchase. That is why measuring growth requires more demanding questions: are we attracting new buyers? Are we growing the customer base? Are we expanding the category? Are we generating additional sales, or simply claiming credit for expected sales?

There are also quality metrics, which make it possible to assess whether the results achieved have genuine value for the company. Not all leads are worth the same. Not all customers deliver the same margin. Not all sales build a sustainable relationship. Indicators such as lead quality, repeat business, average order value, lifetime value, retention or margin help us understand whether the growth achieved is healthy or whether volume is simply being inflated in the short term.

These metrics are key because they connect marketing with the economic reality of the business. A campaign that generates many conversions may appear successful until the profitability of those conversions is analysed. Similarly, an action with lower initial volume may have more value if it attracts customers who return, recommend, buy higher-margin products or remain connected to the brand for longer.

Finally, there are learning metrics. They are perhaps the least visible in traditional reports, but among the most important for building smarter marketing. This includes results by audience, message, channel, creative format, A/B tests, control groups, holdout groups or incrementality experiments. Their value lies not only in showing what worked, but in explaining why it worked and how it can be improved.

A good measurement system should not simply say that a campaign achieved a particular result. It should help us understand which audience responded best, which message generated more intent, which channel brought in higher-quality customers, which creative contributed most to the objective or which part of the result appears genuinely incremental. That learning is what allows each campaign to improve the next.

The key is to accept that not all businesses need to measure the same things. A growing brand will not have the same priorities as a mature company seeking efficiency. An ecommerce business will not measure in the same way as a B2B company with long sales cycles. An acquisition campaign cannot be assessed using the same criteria as a brand-building strategy.

But there is a common principle: every metric should be connected to a decision. If an indicator does not help us invest better, optimise better, learn better or defend a strategy better, perhaps it does not deserve a central place in the report. Measuring business is not about filling the dashboard with financial data, but about building a clearer understanding of how marketing contributes to real growth.

It is not about eliminating visibility metrics

The debate about vanity metrics can lead to the wrong conclusion: that everything which does not translate immediately into sales has no value. That is not the case. Visibility, interaction and awareness metrics remain important, especially when a campaign has objectives around awareness, consideration, positioning or brand building.

Reach, frequency, ad recall, awareness, interaction and consideration can provide highly valuable information. They help us understand whether a brand is reaching its audience, whether a message is beginning to be recognised, whether creative work generates interest or whether a particular audience shows signs of connection. In many purchasing decisions, especially in categories with long cycles or high competition, these signals form part of the process.

The problem is not measuring the top of the funnel, but interpreting those metrics as though they were complete proof of success. An increase in reach may be positive, but it does not automatically mean that the campaign has generated growth. Improved engagement may indicate that content has resonated, but it does not in itself prove that it has driven sales, acquired new customers or improved commercial efficiency.

Each metric makes sense within a specific objective. If a campaign seeks to increase awareness, reach and recall may be relevant indicators. If the objective is to improve consideration, it may make more sense to analyse qualified interaction, traffic to key content, brand searches or the evolution of certain audiences. If the campaign seeks acquisition, sales or incremental growth, then visibility metrics tell only part of the story.

That is why the role of engagement needs to be interpreted carefully. It can be a useful signal for assessing the resonance of a message, comparing creative formats or identifying topics that generate interest. But it should not become the main metric when the stated objective is to acquire customers, sell more or demonstrate incremental impact. In these cases, engagement can help explain the journey, but it is not enough to justify the destination.

This distinction matters because it prevents us from falling into two extremes. The first is dismissing upper-funnel metrics as too soft. The second is using them as a shield against more demanding business questions. Mature marketing needs both: understanding how demand is built and measuring the specific results that demand produces as it moves through the funnel.

Visibility remains necessary. A brand that is not seen, remembered or considered is unlikely to grow sustainably. But visibility should not be confused with impact. It is an important condition, not a guarantee. It can open the door to a customer relationship, but it does not in itself prove that this relationship has been built, generated value or contributed to growth.

That is why visibility metrics should occupy their proper place within the measurement system. Not as decorative figures to justify a campaign, but as signals that help us understand one part of the journey. When connected to clear objectives, working hypotheses and business metrics, they add value. When presented in isolation, they risk becoming another form of noise.

How to build more honest reporting

Building more honest reporting begins before opening a dashboard. It begins with a much more basic question: what business objective are we trying to achieve? Without that answer, any metric can appear important and any outcome can be presented as positive. But when the objective is clear, data cease to be a collection of figures and begin to become a tool for assessing decisions.

The first step, therefore, should not be choosing indicators, but defining the question the report should help answer. Analysing an awareness campaign is not the same as analysing an acquisition strategy, a retention action, a commerce media activation or a campaign to increase incremental sales. Each objective requires a different interpretation. If the report does not distinguish this initial intent, it will end up mixing metrics that belong to different conversations.

The second step is defining which decision reporting should facilitate. A report should not exist merely to prove that work has been done, but to guide subsequent action. Should investment in a channel be increased? Should budget for an audience be reduced? Should the message be changed? Should the landing page be reviewed? Should the media strategy be reconsidered? Should a new hypothesis be tested? If reporting does not help make a decision, it risks becoming retrospective documentation with no strategic value.

It is also important to separate activity, outcome and learning metrics. Activity metrics show what has been done: impressions, reach, posts, exposures, clicks or views. Outcome metrics indicate what has been achieved: leads, sales, new customers, revenue, margin, repeat business or incremental growth. Learning metrics explain what has been understood: which audience responded best, which message worked, which creative generated more intent or which channel delivered value more efficiently.

This separation helps avoid a common confusion: presenting activity as though it were an outcome. A campaign may have generated many impressions, but that does not mean it changed customer behaviour. It may have received many clicks, but that does not mean those users were relevant. It may have achieved interaction, but that does not prove it contributed to growth. Each type of metric has its place, but not all of them answer the same question.

More honest reporting also needs to avoid overloaded dashboards. Adding more charts does not always bring more clarity. In fact, the opposite often happens: too much data makes it possible to hide the lack of a clear interpretation. A good report should prioritise the metrics that genuinely help us understand performance, explain context and highlight implications. It is not about showing everything that can be measured, but about showing what enables better decisions.

Context is fundamental. An isolated number rarely explains enough. ROAS may appear high, but perhaps it was achieved by reaching buyers who were already about to convert. CPA may seem low, but perhaps the leads are poor quality. An increase in traffic may seem positive, but perhaps it generates no engagement, registrations or sales. That is why every relevant figure should be accompanied by an interpretation: what it means, what limitations it has and what hypothesis it opens up.

Here, a key distinction comes in: correlation, attribution and real impact are not the same. The fact that a conversion happens after a campaign does not necessarily mean the campaign caused it. The fact that a platform attributes a sale to an advert does not in itself prove that the sale would not have happened anyway. And the fact that a metric improves during an investment period does not always imply a direct causal relationship. This distinction is particularly important when budget decisions are being made.

That is why incremental measurement methodologies are gaining ground. Guidance from IAB and IAB Europe on incremental measurement in commerce media brings together different approaches, such as experiment-based methodologies, counterfactual models, econometric models and hybrid approaches, precisely to help us better understand what share of the outcome can be considered the real impact of investment.

This does not mean that every company must apply advanced models from day one. But it does imply a shift in mindset. More mature reporting should not be satisfied with saying “this campaign generated X attributed sales”, but should ask what portion of those sales appears genuinely incremental, what would have happened without the campaign and how much confidence we have in the answer. Even when it is not always possible to measure everything with absolute precision, asking a better question already improves the quality of the decision.

The report should also include hypotheses and next steps. It is not enough to close the month by saying what worked and what did not. That interpretation needs to be turned into a concrete proposal: test a new audience, adjust frequency, review the message, compare creative work, change budget allocation, launch an incrementality test or explore a channel that appears to deliver higher-quality customers in more depth.

Honest reporting is not reporting that offers artificial certainty, but reporting that helps us make better decisions with the available information. It recognises what the data show, but also what they cannot prove. It distinguishes between signals, outcomes and impact. And, above all, it turns measurement into a strategic conversation: not only what has happened, but what have we learned and what do we do now?

Conclusion

The future of marketing will not necessarily belong to those with more data, more charts or more sophisticated dashboards. It will belong to those who know how to turn that information into better decisions. Because the difference is no longer in measuring everything, but in understanding what deserves to be measured, how it should be interpreted and what action it should prompt.

Visibility metrics are not going to disappear. Reach, interaction, recall, consideration and engagement will remain part of the analysis, especially when the objective is to build a brand, generate interest or understand an audience’s response. But their role is changing. They cease to be automatic proof of success and become signals within a broader interpretation of performance.

That is the important shift. Engagement can continue to add value, but it can no longer serve as a comfortable hiding place. It is not enough to show that people have reacted. We need to ask what that reaction means, what relationship it has with the business objective and what decision it allows us to make. An interaction may be relevant, but it may also be superficial. A click may open an opportunity, but it may also remain a visit with no value. A good figure can impress, but it does not always illuminate the right path.

Mature measurement does not seek to dress reports up with big numbers. It seeks to understand what is working, what is not, what should change and what real impact each decision has. It accepts that not every answer will be perfect, that attribution has limits and that causality cannot always be demonstrated with absolute precision. But it also rejects the comfort of using easy metrics as a substitute for difficult questions.

Measuring better means being more demanding with data, but also more honest in its interpretation. It means differentiating activity from outcome, attributed outcome from incremental impact, apparent efficiency from real value. It means accepting that a dashboard should not be used to close a conversation, but to open a more intelligent discussion about strategy, investment and growth.

That is why marketing reporting needs to evolve. It cannot be limited to proving that things have been done. It must help decide what deserves continuity, what needs adjustment, which hypotheses should be tested and which investments make the most sense. When data are connected to decisions, marketing gains credibility. When they are presented only as a collection of positive figures, they lose strategic force.

The end of vanity metrics does not mean the end of visible measurement, creativity or brand building. It means the end of a comfortable way of justifying results without looking too closely at their real impact. In a more demanding environment, measuring better will be a competitive advantage. Because brands that learn to interpret their data more rigorously will not only report better: they will make better decisions.

Are your metrics demonstrating real impact, or are they only making the report look better?

Sources:

• IAB Europe's Commerce (Incl. Retail) Media Measurement Standards V2
• Guidelines for Incremental Measurement in Commerce Media  
• Vanity Metrics: Definition, How To Identify Them, And Examples