CreatorScoreInfluencer Vetting for Ecommerce & DTC Brands
Fake engagement brings clicks that never convert. CreatorScore checks a creator's comments for bots and pods, checks sponsored posts for disclosure, and forecasts campaign potential from engagement, growth and saves before you send product.
Rules that apply: FTC
▸ Ecommerce & DTC
In ecommerce, a creator is worth the sales they drive. The ROI Prediction agent forecasts campaign potential from engagement, growth, shares and saves. The Authenticity agent checks commenters for bots and engagement pods. After launch, tracking links and Shopify promo codes connect each creator to the orders they bring in.
▸ What to catch
What ecommerce creator vetting needs to catch
The risks that come up most in ecommerce partnerships, and what a CreatorScore read shows you about each.
- 01
Audience-purchase-intent mismatch
An audience of other creators, or of people outside your market, clicks but does not buy. Audience Quality weighs engagement depth and community health; demographics count only when the creator connects their account.
- 02
Affiliate code leakage
Codes reposted to deal and reseller communities drive orders without real intent. CreatorScore does not track where codes are reshared, but Shopify promo-code attribution shows which codes produce orders.
- 03
Overpromising
Exaggerated promises drive returns. CreatorScore flags deceptive and scam patterns and unsupported medical claims, with the line shown. It does not predict return rates.
- 04
Fake reach
Bought engagement inflates reach that does not convert. CreatorScore checks commenters for bot signals and engagement pods, and tracks follower growth over time. It does not measure view bots directly.
- 05
Competitor-brand overlap
A creator who promoted your competitor's code two weeks ago is less exclusive. The brand-mention list shows who they have promoted, sponsored and organic.
- Tracking links, Shopify orders and post-purchase surveys connect a creator to the orders they drive after launch.
- ROI Prediction weighs shares and saves alongside likes when the platform reports them.
- Brand mentions show competitor overlap before you sign.
▸ Two ways to check
A score to decide fast. A background check to go deep.
One score from 1 to 100 across every platform, with the post behind each finding. Keep it current for $9.99 a month, or add daily monitoring for $19.98.
Check a creator- Seven agents, each scored on its own
- Bot and engagement-pod checks on the comments
- $8.99 each from your 51st creator in a month, $7.99 from the 201st
A full read of everything the creator has posted, every finding listed by category with its evidence. No score, just what was found.
Run a background check- The whole history, not a sample
- Legal matters shown with how they ended
- Deleted posts recovered on the Verified tier
▸ Questions
Ecommerce vetting, answered.
How does your ROI Prediction compare to MMM attribution?
They answer different questions. Marketing mix modelling looks back at whole-channel results. ROI Prediction is a per-creator forecast from engagement, growth, shares and saves, and community health. Use MMM to size the channel and ROI Prediction to compare creators.
Can you integrate with our Shopify store for conversion tracking?
Yes. The Shopify integration matches orders to creators by promo code, alongside tracking-link clicks and post-purchase survey answers, so you can see revenue per creator.
How do you detect view-bot manipulation on TikTok?
We do not measure view bots directly. We check commenters for bot signals and look for engagement pods: more than 60% bot commenters caps the score at 20, and a pod probability above 80% caps it at 30.
What engagement signals real purchase intent?
Shares and saves are closer to intent than likes. When the platform reports them, they make up 20% of the ROI Prediction agent. Engagement itself is benchmarked against the creator's platform and follower tier.
Your next creator
posts again tonight.
Check them before the contract. Keep reading after it.