Interpreting Wreltik Reports for Stakeholders Who Aren't Marketers
How to translate Wreltik scores into the language that CEOs, CFOs, and product teams understand — without oversimplifying or overclaiming.
Interpreting Wreltik Reports for Stakeholders Who Aren't Marketers
Wreltik gives you scores across six cognitive dimensions. Your CEO wants to know if the ad will work. Your CFO wants to know if the testing budget is justified. Your product team wants to know if the creative is accurately representing the product. None of them care about "Attention Sustainment scores." Here's how to translate without oversimplifying.
For the CEO: from scores to decisions
The CEO question: "Is this ad going to work?"
The honest answer: "We've reduced the risk that it won't." Wreltik doesn't predict market performance. It predicts cognitive response. The gap between the two is real. What you can say: "This ad scored in the top quartile on the dimensions that correlate with engagement and memory. That doesn't guarantee performance, but it means the creative isn't the bottleneck. If the ad underperforms, we know to look at targeting, offer, or market conditions — not the creative."
A CEO who understands this distinction will start asking better questions. Instead of "is the ad good?" they'll ask "what's the most likely reason this ad would fail, and have we ruled it out?" That's a better conversation.
For the CFO: from scores to ROI
The CFO question: "Why are we paying for this instead of just running the ad and seeing what happens?"
The case: Wreltik costs less than the media spend you'd waste testing an ad that was structurally broken. If Wreltik eliminates the bottom 30% of your creative concepts before they reach paid media, and you spend $5,000 per month on creative testing, the tool pays for itself by preventing $1,500 in wasted spend per cycle.
Frame it as insurance, not as a forecast. You're not paying Wreltik to tell you which ad will win. You're paying to avoid spending money on ads that were never going to work — which is a different, more defensible value proposition.
For the product team: from scores to accuracy
The product team question: "Does the ad show the product correctly?"
Wreltik doesn't answer this directly. What it can answer: "Is the product being shown at moments when viewer attention is highest?" If Wreltik shows attention peaks at seconds 5 and 18, but the product appears at second 25, the product is being shown during an attention lull. The fix is structural: move the product to the attention peak.
This reframes the conversation from "is the ad accurate?" to "is the audience seeing the accurate information?" Both matter. The second is easier to fix with data.
The one-page report format
For stakeholder communication, reduce the full Wreltik output to one page:
- The headline finding. One sentence. "This ad is strongest on emotional engagement but loses attention in the middle third."
- The dimensional snapshot. A simple visual showing which dimensions are strong, average, and weak — without numbers or technical labels.
- The recommended action. One concrete change. "Tighten seconds 8-14 by cutting the B-roll and staying on the speaker."
- The before/after comparison. If you have it, show the score improvement from the previous version. Stakeholders respond to progress, not absolute numbers.
What to never say
Never say "Wreltik says this ad will increase conversion by X%." Wreltik doesn't say that. No pre-testing tool can say that. Claiming it will erodes trust when reality doesn't match the prediction.
Never present a single dimension score in isolation. "Memory Encoding is 72" means nothing to anyone outside your team. Always present scores in context: compared to your previous ads, compared to category norms, or as part of a dimensional pattern.
Never use Wreltik scores to win an argument you lost on creative merit. If the team disagrees about whether the ad is good, scores won't resolve the disagreement. They'll just give one side numbers to weaponize. Use scores to inform decisions, not to end debates.