When I started out as a marketing graduate, I was so excited to dive into the creative side of things—crafting brand messages, designing visuals, and building campaigns. It was only after my first big project flopped that I realised something was missing. I had based my work on assumptions, not insights. I hadn’t really listened to what the data was telling me.
Fast forward to today, and it’s clear that data is the foundation of effective marketing. If you want to succeed, 80% of the job is understanding the story the data tells and using it to drive decisions. But there’s a catch. It’s easy to fall into the trap of cherry-picking data—using it as a "yes" person to back up what you already believe. When that happens, you’re not letting data guide you; you’re simply validating your assumptions.
So, how can you tell if you’re guilty of this?
How to Avoid Cherry-Picking Metrics and Boost Creativity
1. Challenge your ideas, don’t seek to only validate them
If you’re looking at data to validate your ideas rather than challenge them, you’re falling into confirmation bias. It’s comforting to find numbers that support your plan, but are they the right numbers? Real insights come from asking tough questions and letting data steer you in unexpected directions.
2. Think bigger picture, and don’t get lost in the minutia
Do you find yourself obsessing over small, granular data points? It’s easy to get caught up in micro-trends and miss the bigger picture. Yes, that slight bump in engagement on Thursdays is interesting, but is it more important than the overall decline in weekly performance?
3. Think like a strategist not solely an analyst
If your team is full of data analysts but lacks a creative strategist, you’re missing a crucial link - it's time to expand or upskill your team. Creative strategists can interpret data, create meaningful stories, and turn insights into campaigns that resonate with audiences. They’re the bridge between numbers and narratives.
4. Let the algorithm do the heavy lifting where it can
AI and machine learning tools, like Meta’s algorithms, can offer powerful insights. But are you paying attention to them? Today, creative is the new targeting. Let the algorithms do the heavy lifting on placements, and instead focus your energy on creating captivating content that drives engagement.
5. Don't ignore instinct gained by experience
While data is important, it’s not everything. Sometimes your intuition and experience are just as valuable. The best marketing strategies come from blending analytics with gut instinct. Data should guide your decisions, not dictate them.
Finding the Balance Between Data and Creativity
The truth is, numbers can be useful, but without the right creative twist, they can lead you down a very boring path. A great example is the "Skip Ad" button. If that’s the best-performing element of your campaign, it might be a sign that your content isn’t hitting the mark. Data might be telling you that something’s working, but is it really?
Marketing is a balance between insights and imagination. You need to design content for your audience while using data to inform your strategy. The algorithm can help, but it still needs human flair to really make an impact.
This isn’t about throwing data out the window—it’s about using it wisely. Data is a tool for creating, not just a performance review. After all, some of the consumers you’re targeting are simply waiting to click "Skip Ad." If you only follow the numbers, you risk missing the opportunity to captivate them before they do.
Don’t Let Confirmation Bias Hold You Back
Using data as a "yes" person will significantly limit campaign potential. Instead, challenge yourself. Ask hard questions. Combine insights with creativity, intuition, and experience. That’s where real innovation happens. In a world increasingly driven by AI and analytics, it’s the human touch that sets your campaigns apart.
At Evolare Digital, we believe in marrying the best of both worlds—using data as our guide but keeping creativity and intuition at the heart of everything we do. So next time you're analysing a campaign, ask yourself: are you letting data lead, or are you just cherry-picking the story you want to tell?