Per-influencer ROI with audience quality data, not just engagement screenshots
HypeAuditor audience authenticity scores, Google Analytics UTM sessions, and Shopify conversion data are combined into a single per-influencer scorecard. Creators with fake followers or negative ROI are flagged, and contract renewal recommendations are generated automatically.
Per-influencer ROI calculated from HypeAuditor audience data, Google Analytics UTM traffic, and Shopify conversions. Creators ranked by blended ROI weighted for audience quality, with contract renewal recommendations.
What changes
| Dimension | Before | With Doe |
|---|---|---|
| Attribution accuracy | Discount code usage and gut feel | UTM traffic + discount codes + audience quality cross-referenced |
| Audience quality visibility | Follower count is the only signal | Authenticity %, engagement rate, and bot detection per influencer |
| Contract decision speed | Weeks of manual analysis before renewal decisions | ROI-based renewal recommendations ready the day a campaign ends |
| UTM management | Broken links discovered months later (or never) | Broken UTMs flagged automatically with zero-traffic alerts |
How Doe measures influencer ROI
HypeAuditorPulled audience data for 8 active influencers. Audience authenticity ranges from 62% to 94%. Influencer A (lifestyle, 500K followers): 62% authentic, engagement rate 1.8%. Influencer B (niche tech, 40K followers): 94% authentic, engagement rate 6.2%.
Google AnalyticsUTM-tagged sessions from influencer campaigns over 30 days. Influencer A: 1,420 sessions, 0.8% conversion rate. Influencer B: 890 sessions, 4.1% conversion rate. 2 influencers have broken UTM links (no attributed traffic despite active posts).
ShopifyRevenue attributed by discount code and UTM source. Influencer A: $1,240 on $8,000 spend (0.16x ROI). Influencer B: $8,420 on $2,000 spend (4.21x ROI). Total influencer-attributed revenue: $24,600 on $38,000 total spend.
All 8 influencers ranked by blended ROI (revenue + audience quality weighted). Renew Influencer B and 2 others (ROI above 2x, authenticity above 85%). Renegotiate 2 (decent engagement but high cost). Drop Influencer A and 1 other (sub-1x ROI, authenticity below 70%). 2 broken UTM links fixed and flagged for the next campaign.
You're paying influencers $5K-$50K with no real measurement
You're running campaigns with 8 influencers. Each gets a UTM link and discount code. Three months in, you have a spreadsheet where someone manually pulled follower counts, tracked discount code usage, and guessed at traffic attribution. Influencer A has 500K followers and drove $1,200 in sales. Influencer B has 40K followers and drove $8,400. But the spreadsheet doesn't show that Influencer A's audience is 38% fake followers.
The brand manager renews Influencer A because "they got us great engagement." The engagement is from bot accounts. Meanwhile, Influencer B's contract expired and nobody renewed it. You lost your highest-ROI creator because the measurement was vibes, not data.
Get started in under 10 minutes
Connect your tools
One-click OAuth for each integration. No API keys, no engineering.
Describe what you need
“Pull audience data from HypeAuditor for our 8 active influencers. Match UTM-tagged traffic in Google Analytics to Shopify revenue by discount code. Rank each influencer by ROI and audience authenticity, and flag any with broken UTM links or authenticity below 75%.”
It runs on schedule
Report delivered at the end of each campaign or on a monthly schedule.
Influencer Campaign ROI FAQ
Doe falls back to discount code attribution and referral traffic patterns when UTM data is missing. It also flags influencers with no tracked traffic so you can fix the tracking before the next campaign.
Related workflows
Stop doing the work your tools should do for you.
Set it up once. Doe runs it every time.
