KPIs That Connect to Business Outcomes

Key performance indicators are determined by working backwards from business objectives, not forwards from available data. The right KPIs are the smallest number of metrics that tell you whether your strategy is working, at what point in the funnel, and what to do next.

Most marketing teams get this wrong. They start with what their dashboards can measure and call those metrics KPIs. That is not strategy. That is reporting dressed up as strategy.

Why Most Teams Pick the Wrong KPIs

I spent the early part of my career in performance marketing, and for a long time I was convinced that lower-funnel metrics were the only ones that mattered. Conversion rate, cost per acquisition, return on ad spend. Clean numbers. Defensible in a board presentation. Easy to tie to revenue.

The problem is that a significant portion of what those metrics record was going to happen regardless of your activity. Someone who has already decided to buy your product and searches your brand name is going to convert. Attributing that to a paid search campaign does not make it a campaign win. It makes it a measurement illusion.

This is one of the most persistent distortions in how marketing teams set KPIs. They optimise for what is easy to measure and credit, rather than what is actually driving growth. The result is a set of KPIs that look healthy on paper while the business quietly stagnates because no one is measuring whether you are reaching new audiences or building genuine brand preference.

If you want to build a KPI framework that connects to real business outcomes, you need to start from a different place entirely.

Step One: Start With the Business Objective, Not the Channel

Every KPI should trace back to a specific business objective. Not a marketing objective. A business objective. Revenue growth, market share, customer retention, margin improvement. Those are the things the business is actually trying to achieve.

Marketing objectives sit one level below. They describe what marketing needs to do to contribute to those business outcomes. Increase brand consideration among 25-to-44-year-olds. Reduce churn in the first 90 days. Grow organic search visibility in a new product category. These are legitimate marketing objectives because they connect to a business outcome and can be influenced by marketing activity.

KPIs sit one level below that. They are the specific, measurable signals that tell you whether your marketing objectives are being met.

The hierarchy matters. Business objective drives marketing objective. Marketing objective drives KPI selection. If you reverse that order and start with your available metrics, you end up measuring activity rather than progress.

BCG’s work on commercial transformation in go-to-market strategy makes this point clearly: organisations that align their measurement frameworks to commercial outcomes consistently outperform those that optimise for channel-level metrics. The measurement tail should not wag the strategy dog.

Step Two: Distinguish Between Leading and Lagging Indicators

One of the most useful distinctions in KPI design is the difference between leading and lagging indicators. Most teams over-index on lagging indicators because they feel more concrete. Revenue is a lagging indicator. So is market share. So is customer lifetime value. These are outcomes, and they are important, but they tell you what already happened.

Leading indicators tell you what is likely to happen. They are earlier signals in the customer experience that predict downstream outcomes. Brand search volume is a leading indicator of purchase intent. Trial rate is a leading indicator of repeat purchase. Content engagement depth can be a leading indicator of qualified pipeline.

A well-designed KPI framework includes both. The lagging indicators tell you whether the strategy worked. The leading indicators tell you whether it is working right now, while you still have time to adjust.

When I was running agency teams managing large-scale media spend, one of the disciplines I pushed hardest was identifying the leading indicators specific to each client’s category. In financial services, for example, the gap between awareness and conversion is long and the consideration phase is complex. If you only track conversions, you are flying blind for months. You need earlier signals that tell you whether your audience is moving through the funnel at the right rate.

BCG’s research on go-to-market strategy in financial services highlights exactly this challenge: the populations you are trying to reach are changing, and the metrics that predicted success five years ago may not reflect the current purchase experience.

Step Three: Apply the Decision Test

Here is a test I have used for years when reviewing KPI frameworks with clients and internal teams. For every metric on the list, ask one question: what decision will someone make differently based on this number?

If the answer is “we will review it and see,” it is not a KPI. It is a data point. Data points belong in an appendix. KPIs belong in a weekly meeting where someone is accountable for them.

A KPI should trigger a specific response when it moves in the wrong direction. If your cost per qualified lead increases by 40% week on week, what happens? If your answer is “we discuss it,” that is not good enough. The KPI should be connected to a threshold, a owner, and a set of pre-agreed responses.

This sounds obvious. In practice, most marketing dashboards are full of metrics that nobody acts on. They exist to demonstrate activity, not to drive decisions. Stripping those out and keeping only the metrics that connect to real decisions is one of the most clarifying exercises a marketing team can do.

Forrester’s work on intelligent growth models points to the same principle: measurement frameworks that are not connected to decision rights tend to produce reporting cultures rather than performance cultures.

Step Four: Match KPIs to Funnel Stage

Different parts of the marketing funnel require different KPIs. This sounds straightforward but it is where a lot of frameworks fall apart in practice, because teams either apply the same metrics across all stages or they create so many stage-specific metrics that nothing is comparable.

At the awareness stage, you are measuring reach and relevance. Are you getting in front of the right people? Are those people engaging with the message in a way that suggests it is landing? Relevant metrics include reach within target audience segments, brand recall, and share of voice in relevant contexts.

At the consideration stage, you are measuring intent signals. Are people moving from passive awareness to active interest? Relevant metrics include branded search volume, time spent with content, email open rates from non-customers, and product page visits from new users.

At the conversion stage, you are measuring efficiency and quality. Are the people converting the ones you actually want? Relevant metrics include conversion rate, cost per acquisition, and lead quality scores.

At the retention stage, you are measuring loyalty and value. Are customers staying, buying again, and referring others? Relevant metrics include repeat purchase rate, net promoter score trends, and customer lifetime value by acquisition cohort.

The mistake I see most often is treating conversion metrics as the primary KPI across all stages. When you do that, you end up optimising only for what is already close to buying, and you systematically underinvest in the earlier stages that fill the funnel in the first place. It is a slow way to starve your own pipeline.

If you are thinking about KPI frameworks as part of a broader go-to-market approach, the Go-To-Market and Growth Strategy hub covers the wider strategic context, including how measurement connects to market entry, audience development, and commercial planning.

Step Five: Limit the Number of KPIs

If everything is key, nothing is. I have reviewed marketing plans that listed 20 or more KPIs. That is not a measurement framework. That is a list of things someone was afraid to deprioritise.

The discipline of KPI selection is partly about identifying what matters most, and partly about having the confidence to leave things off the list. Most marketing functions can be effectively monitored with three to five KPIs. You might have supporting metrics that sit beneath those, but the KPIs themselves should be few enough that every person on the team can name them without looking at a spreadsheet.

When I took over a loss-making agency and started rebuilding the commercial model, one of the first things I did was reduce the internal reporting dashboard from something unwieldy to five numbers. Revenue, margin, utilisation, client retention, and net new business pipeline. Every other metric we tracked was in service of understanding those five. It made conversations cleaner, accountability clearer, and decisions faster.

The same principle applies to marketing KPIs. Fewer, better, more connected to outcomes.

Step Six: Account for Attribution Honestly

Attribution is the part of KPI design that most teams either oversimplify or avoid entirely. The honest position is that marketing attribution is an approximation, not a fact. Your analytics tools give you a perspective on what happened. They do not give you the complete picture.

Last-click attribution over-credits the final touchpoint and under-credits everything that built awareness and consideration before it. Multi-touch attribution models are better, but they involve assumptions that may or may not reflect how your customers actually make decisions. Media mix modelling is more strong for understanding channel contribution at scale, but it requires data and investment that smaller teams may not have.

The practical implication for KPI design is this: do not set KPIs that depend on attribution being accurate. If your KPI is “revenue attributed to social media,” and your attribution model is flawed, you are measuring the model, not the channel.

Better approaches include incrementality testing, where you compare outcomes in groups exposed to a campaign versus those not exposed. Or you use proxy metrics that are less dependent on attribution, such as brand search lift following a campaign, or new customer acquisition rates in markets where a channel was active versus inactive.

Hotjar’s work on understanding growth loops touches on this from a product and behavioural angle: the signals that matter most are often the ones that reflect genuine user intent, not the ones that are easiest to track in a dashboard.

I judged the Effie Awards for a period, and one of the consistent differences between the entries that impressed and the ones that did not was how teams handled measurement uncertainty. The strong entries acknowledged what they could not measure and explained how they accounted for it. The weaker entries presented attribution numbers with false precision and hoped nobody asked hard questions. The judges always asked hard questions.

Step Seven: Review KPIs When Strategy Changes

KPIs are not permanent. They should change when your strategy changes, when your market changes, or when you have learned enough to know that a previous metric was not actually telling you what you thought it was.

One of the most common mistakes I see in established marketing teams is inherited KPIs. Metrics that were set two or three years ago under a different strategy, by a different team, for a different objective. Nobody questions them because they have always been there. They get reported every month, nobody acts on them, and they quietly crowd out the space that better metrics should occupy.

A quarterly KPI review is not excessive. It is good practice. The questions to ask are: is this metric still connected to our current business objective? Is the data reliable? Is anyone making a decision based on this number? If the answer to any of those is no, the metric needs to change.

Semrush’s analysis of market penetration strategy makes a useful point about measurement in growth contexts: the metrics that tell you whether you are winning share in an existing market are different from the metrics that tell you whether you are successfully entering a new one. Using the same KPI framework for both obscures what is actually happening.

The Common KPI Mistakes Worth Calling Out

After two decades of reviewing marketing plans and sitting across from teams defending their measurement frameworks, the same mistakes come up repeatedly.

Measuring reach without relevance. Impressions are not a KPI unless you know they are reaching the right audience. A campaign that reaches 10 million people outside your target demographic has not performed well. It has performed expensively.

Using engagement as a proxy for intent. Likes, shares, and comments are social signals. They are not purchase signals. The correlation between social engagement and commercial outcome varies enormously by category, brand maturity, and content type. Treating engagement as a meaningful KPI without evidence that it predicts something downstream is wishful thinking.

Conflating efficiency with effectiveness. A campaign that achieves a very low cost per click is efficient. Whether it is effective depends on what those clicks actually do. I have seen campaigns with excellent efficiency metrics that contributed nothing to the business because the audience being reached had no purchase intent and no path to conversion.

Setting KPIs without baselines. A KPI without a baseline is a number without context. If your target is to increase brand consideration, you need to know where consideration currently sits, what a realistic improvement looks like over what timeframe, and what it would take to move that number. Without that, you cannot tell whether your result is good, bad, or indifferent.

Forrester’s research on agile marketing at scale identifies baseline-setting as one of the disciplines that separates high-performing marketing organisations from average ones. Teams that cannot answer “compared to what?” are not measuring performance. They are recording activity.

What a Good KPI Framework Looks Like in Practice

To make this concrete: a consumer brand running a campaign to grow market share in a new demographic might structure its KPI framework like this.

Business objective: grow revenue from the 18-to-30 segment by a defined percentage over 12 months.

Marketing objective: increase brand awareness and consideration among that demographic in key markets.

KPIs: unaided brand awareness among 18-to-30-year-olds in target markets (measured via brand tracker), branded search volume from that demographic (measured via search console and audience data), trial rate among new customers in that age group (measured via CRM), and cost per new customer acquired from that segment (measured via media and sales data).

Supporting metrics below those KPIs might include reach within the demographic, video completion rates, social engagement from that audience segment, and email acquisition rates. Those are useful to understand what is driving or limiting the KPIs. But they are not the KPIs themselves.

This framework is tight enough to be actionable, broad enough to cover the full funnel, and connected clearly to the business objective at the top. That is what good KPI design looks like.

For more on how measurement fits into broader commercial planning, the articles across the Go-To-Market and Growth Strategy section cover everything from market entry frameworks to audience development and channel strategy.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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