Just like a detective investigating a crime scene, revenue leaders need evidence to make informed decisions. Which programmes deserve more investment? Which should be scaled back? Where should marketing funnel resources? Which activities are contributing to pipeline and revenue?
The evidence may be there, but it is scattered across different sources and rarely tells the whole story. A buyer can interact with multiple marketing campaigns, attend webinars, speak directly to a salesperson, read several pieces of content, visit the website repeatedly and engage with a partner before eventually becoming a customer.
Revenue teams may have attribution data for many of these interactions, but that does not necessarily tell them exactly what role each one played in the eventual outcome. The question, then, is not how to reconstruct a perfect buyer journey. It is what revenue leaders should do when the evidence they have is incomplete.
When marketing attribution is incomplete, leaders cannot simply fill in the blanks with assumptions or manufacture certainty from individual metrics. Instead, they need to piece together the evidence available to them, look for consistent patterns and assess whether that evidence is strong enough to support the decision in front of them. The goal is to make the most defensible investment decision possible with the evidence at hand.
Start With the Investment Decision
Before deciding whether to maintain, increase, test or reduce an investment, revenue leaders need to be clear about what the investment is actually expected to contribute to the business. A programme designed to create a new pipeline should be judged differently from one intended to improve opportunity progression or support expansion within existing accounts.
For example, a programme may not show a direct connection to closed revenue yet, but it may be producing the type of account engagement and opportunity progression expected at its stage of the buying process. That could support maintaining the investment or continuing to test it.
Another programme may be generating a significant pipeline but showing little evidence of progressing opportunities. That might justify investigating the programme before increasing its budget.
The commercial outcome provides the context for the decision. The evidence then needs to be judged against that expectation.
This prevents revenue teams from asking whether a programme has “worked” in isolation and instead asks a more useful question, “Is there enough evidence of commercial contribution to justify the investment decision we are considering?”
Match the Decision to the Strength of the Evidence
Not every investment decision needs the same level of evidence. Maintaining an existing programme, running a small test and significantly increasing a budget all expose the business to different levels of cost and risk. The evidence threshold should therefore change depending on what leaders are being asked to do.
A useful way to think about this is as a decision spectrum:
- Maintain
If a programme is producing consistent evidence of commercial contribution, but attribution remains incomplete, the available evidence may be sufficient to maintain current investment.
- Test
If there are promising signals but not enough evidence to justify greater commitment, a limited test can help establish whether the pattern continues.
- Expand
If multiple sources consistently point towards commercial value, leaders may have enough evidence to cautiously increase investment without claiming they have proved causation.
- Investigate
If quantitative data, sales intelligence or programme performance contradict one another, the disagreement itself may justify further investigation before making a significant investment change.
- Reduce
If a programme repeatedly produces weak commercial signals and lacks evidence that it is contributing to the intended outcome, reducing investment may be more defensible than continuing by default.
- Stop
If the programme consistently fails to produce a sufficient commercial case despite reasonable testing and review, there may be enough evidence to stop it.
The exact thresholds will vary between organisations. The important principle is that the size, cost and reversibility of the decision should determine how much evidence is required.
A small test does not need the same level of evidence as a major budget increase. Equally, a programme should not need perfect attribution before leaders can maintain an investment that is already producing a consistent pattern of positive results.
Look for Patterns to Lead the Way
One of the best ways to make decisions when measurement is uncertain is to look for patterns across different sources of evidence.
Suppose a programme shows:
- Increasing engagement from target accounts.
- Greater participation from accounts that later enter the pipeline.
- Positive feedback from sales teams.
- Being repeatedly involved in opportunities that go further.
- Strong performance across several campaign cycles.
None of these individual signals proves that the programme caused revenue. Together, however, they make a stronger case for continued investment than any single metric could provide. That distinction matters when deciding what to do next.
If the pattern is consistent, it may show enough evidence to maintain investment or even cautiously expand it. If the signals are promising but limited, a controlled test may be more appropriate. If the evidence is consistently weak, reducing or stopping the programme may become easier to justify.
The decision is therefore less about finding the singular metric that proves success and more about assessing the overall weight of evidence against the investment being considered.
Invite Sales Intelligence to the Table
Revenue decisions should not rely on marketing attribution data alone. Sales teams can contribute useful information about programmes that may not appear in marketing systems.
They may know that prospects repeatedly mention a particular report during sales conversations. They may notice that a certain event helps open conversations with senior decision-makers. Or they may see that a programme is creating new conversations in accounts that were previously difficult to engage with.
This information is not a replacement for quantitative evidence. It adds another layer that can strengthen, weaken or challenge the investment case. The key is to capture this intelligence consistently rather than relying only on anecdotal feedback.
For example, revenue teams could track:
- Which programmes sales teams believe are helping open conversations.
- Which content is referenced during sales discussions.
- Which events generate useful follow-up conversations.
- Which campaigns appear to influence target accounts.
- What objections or buying concerns repeatedly emerge.
Qualitative evidence becomes more useful when it is structured, repeated and considered alongside measurable outcomes.
Customer interviews, sales feedback, win/loss discussions and account-team observations can help explain patterns that quantitative data cannot fully capture. They provide context rather than certainty.
Most importantly, sales intelligence should affect the investment decision. If sales feedback consistently reinforces the quantitative evidence, it may increase confidence in maintaining or expanding a programme.
If sales intelligence contradicts the data, that disagreement is a reason to investigate before committing more budget or cutting the programme.
Don't Let the Last Observable Interaction Make the Decision
When evidence is incomplete, there is a temptation to concentrate investment on whatever activity appears closest to the final outcome.
But revenue leaders should not increase or cut investment simply because an activity does or does not appear close to conversion. Instead, judge the broader programme against the available evidence of commercial contribution.
This is particularly important when evaluating integrated programmes involving multiple channels, campaigns and touchpoints. Individual interactions may be difficult to attribute perfectly, but the overall pattern may still provide enough evidence to decide whether the programme should be maintained, tested, expanded or reduced.
What Would Change the Decision?
More measurement only has decision value if the additional evidence could realistically change what the organisation does. This is an important discipline for revenue leaders because the pursuit of perfect attribution can consume significant time and resources without improving the decision.
If the current evidence is already strong enough to justify maintaining a programme, spending months trying to prove the contribution of every individual touchpoint may add little value. Likewise, if a programme is performing consistently poorly, gathering more granular attribution data may not change the decision to reduce or stop investment.
The more useful question is, “What additional evidence could change the investment decision we are considering?”
For example:
- Would another sales cycle provide enough data to determine whether the current pattern is continuing?
- Could account-level analysis show whether target accounts are behaving differently?
- Could sales feedback be collected more systematically to strengthen or challenge the current investment case?
- Could the programme be tested against a comparable group?
- Is there another commercial measure that could help resolve the uncertainty?
These questions become particularly important when the evidence available is not strong enough to support the scale or direction of the decision being considered. The greater the potential investment or change, the more important it becomes to understand whether the existing evidence is sufficient to justify it.
The aim is not to collect more data for its own sake. It is to identify the evidence that could actually change the decision or give leaders greater confidence in the path ahead.
The Goal Is Better Decisions, Not Perfect Attribution
Attribution still has value. Revenue leaders need to understand where commercial performance is coming from and whether investment is producing results. But when attribution is incomplete, the answer is not to pretend the evidence is more conclusive than it is. Nor does incomplete attribution mean that every investment decision has to wait.
Revenue leaders can combine commercial objectives with behavioural patterns, sales intelligence, qualitative feedback and programme-level performance. They can look for consistent patterns, recognise contradictory evidence and adjust investment according to the strength of the case.
Most importantly, they can ask whether the evidence is strong enough for the particular decision they are making. Consider Carl Sagan’s quote, “Extraordinary claims require extraordinary evidence.”
That may mean maintaining a programme when the evidence supports continued investment, testing an initiative when the signals are promising but incomplete, cautiously expanding when multiple sources point in the same direction, investigating when the evidence conflicts, or reducing and stopping when a programme repeatedly fails to make a strong enough commercial case.
In complex revenue environments, data-driven leadership is not about having perfect information before making a decision. It is about knowing what the available evidence can support, understanding what additional evidence would actually change the decision, and matching the level of investment to the strength of the commercial case.
As revenue leaders move towards more evidence-based decision-making, EM360Tech provides boots on the ground insight into how organisations can turn imperfect data into clear commercial decisions with real-world successes.