Running creator campaigns is easy. Understanding what the data actually means? Not so much.
Many brands see clicks, likes, and a few sales — but don’t know what’s good, what’s bad, or what to do next. Here’s how to read campaign data like a pro, with real-world examples to guide your decision-making.
Campaign results often look decent in aggregate — but that can hide underperformance (or overperformance) at the creator level.
Example :
When you break it down :
Interpretation : Scale top performers, drop the rest. Total GMV means nothing without context. Growi automatically shows you GMV and ROAS per creator, so you never rely on averages.
Revenue is nice, but it’s not the full picture. A creator might drive $5K in sales — but if you paid them $2K + 20% commission, your ROAS might not hold up.
Formula :
ROAS = GMV / Total Payouts
Interpretation :
Growi calculates ROAS instantly — no spreadsheets required.
Formula :
Conversion Rate = Orders / Clicks
Interpretation :
Interpretation : Creator B has smaller reach but a stronger pull. Consider rebooking, scaling, or whitelisting content.
Growi shows this metric by default — so you can spot high-converting creators fast.
Sometimes it’s not the creator — it’s when or how they posted.
Example :
Interpretation : Adjust briefs to recommend optimal post timing and format in the next campaign.
Growi logs timestamps and content formats to help optimize future briefs.
Good data should lead to action. Here’s a sample framework
If You See -You Should
High GMV, low ROAS-Negotiate lower commission or retainer
High clicks, low conversion-Improve landing page or code clarity
Low posts, low ROI-Clarify deliverables or creator expectations
Consistent top performers-Rebook or scale paid ads with them
Growi’s recap views and campaign summaries give you this view automatically — so decisions are easier to make.
Interpreting campaign data means :
Growi gives you this analysis out of the box — no need to hire a data analyst to understand your creator ROI.