Average performance across our campaigns. We thrive on transparency.
Figures represent aggregated averages. Individual campaign performance varies by scope, market, and category.
Discovery & Brand Fit
92%
Brand fit score
15K+
Creators evaluated
3.2x
Fit vs random selection
Brands provide examples of their ideal creator aesthetic. Our system learns from these references to score every potential match against your specific brand DNA — not generic metrics.
92% brand fit means 9 out of 10 discovered creators pass brand review on first presentation. This eliminates back-and-forth and accelerates campaign launch.
High open rates come from relevance. High reply rates come from timing and tone. High approval comes from selecting creators who genuinely want the product.
71% of creators who receive product go on to post. The gap between approval and posting reveals content friction — something we actively reduce.
Outreach Performance
68%
Open rate
34%
Reply rate
71%
Approval rate
52%
Posted rate
EMV captures the value of organic exposure. We calculate ROI against both product cost and total campaign investment, giving you a complete picture of return.
Format performance varies by market. Tracking EMV by format allows us to rebalance future seeding toward what converts attention into value.
Media Value & ROI
$847K
Avg EMV
4.2x
ROI (product)
6.8x
ROI (total)
$1.2K
EMV per post
Reach Intelligence
18.4M
Total reach
24.7K
Avg per post
847
Total mentions
12
Active markets
Reach concentration reveals which markets and tiers drive real exposure. This allows us to adjust creator mix and geography rather than over-seeding low-impact areas.
Geographic clustering of creators can increase perceived ubiquity. We track reach by city and country to inform market-level decisions.
Audience quality explains why some creators convert better despite similar reach. We prioritise creators whose audiences match brand aspiration, not just demographics.
A high posting rate with wrong brand fit means nothing — audiences follow aspiration, community, and relevance.
Audience Intelligence
78%
Quality score
64%
Meet threshold
72%
Female
25-34
Core age
Product Intelligence
$127
EMV per unit
58%
Post probability
3.4x
Product ROI
1,247
Product mentions
Product-level tracking allows us to optimise future campaigns around items that naturally trigger posting and repeat exposure, improving efficiency over time.
Some products are more 'postable' than others. We identify which SKUs drive organic content and adjust seeding strategy accordingly.
We track content by format to understand what drives value. Reels and video consistently outperform static content, but stories still contribute meaningful reach in certain categories.
Video content generates 2.4x more EMV than static posts on average. We use this data to guide creator selection and briefing.
Content Intelligence
49%
Reels / Video
35%
Static posts
16%
Stories
2.4x
Video EMV lift
Creator Behaviour
7.2d
Time to first post
23%
Repeat posters
1.8
Posts per creator
40%
2nd campaign lift
We track how creators behave over time: posting speed, repeat behaviour, and how performance changes in subsequent campaigns. This reveals who to prioritise for ongoing relationships.
The second campaign with a creator outperforms the first by 40% on average. Relationship depth converts directly to performance.
Beyond outcomes, we track operational metrics: time saved, cost efficiency, and response times. This ensures the process scales without degrading quality.
Response time to creator questions predicts campaign success. Friction in communication compounds into content quality.
Campaign Health
340h
Hours saved
$28K
Cost saved
<4h
Avg response
98%
On-time delivery
Every campaign teaches us something. These averages improve because we learn — not because we guess.
See how this learning happens