TL;DR:By enriching every new creator sign up with verified data that flowed directly into their pipeline, Kajabi was able to match a significant amount of their signups and and create more effective activation journeys.
Client Background
Kajabi has powered hundreds of thousands of creators and entrepreneurs building digital businesses. Activation and early success are critical. The faster creators build relevant digital products and services to offer their audience and earn, the more likely they are to become paying, long-term customers.
Kajabi already knew its users were ambitious creators – those that had an audience, a desire to monetize, and grit. What they did not have was a structured and scalable way to identify these creators at signup: which platforms they used, the size of their audiences, their categories, or how active they were. Without this, all creators received a one size fits all onboarding even though their needs varied widely.
Challenge
Strong first-party data, missing social context
Kajabi had excellent behavioral data and first-party creator data inside the platform. The missing piece was an accurate view of social presence and deeper insights outside the platform.
No automated identity resolution
Researching creators manually was never feasible at Kajabi’s scale. Signup volume was too high, profiles varied too much and personalization needed to be instant.
Limited segmentation
Without consistent creator data, onboarding journeys and product recommendations could not be tailored effectively.
Missed monetization opportunities
Creators needed the right products for their audiences, but Kajabi had no way to identify them early.
Solution
Creator enrichment at signup, flowing directly into their data warehouse and product.
- The dataset (scale + coverage).
Influencers Club brought a 340M+ creator graph (adding 30M+ new identities), powering reliable “one-handle in → full graph out” matching.
- Enrichment that plugs in anywhere.
Kajabi feeds creator data into the Enriched Creator Profile API and receives enriched data.
- Accuracy by design.
First-pass match rates ~90%, with ~0.1% wrong-profile returns. Automated retries and a constantly growing graph close the rest.
- Signals that predict activation.
Enrichment surfaces platform, service and audience insights giving the queue clear signals of “right-fit” offerings for creators.
- Bonus dashboard.
Teams can self-serve ad-hoc lookups without needing Engineering.
Results
Improved onboarding performance.
Personalized onboarding based on creator profile data produced a +10 percent increase in Creator activation. Creators reached value faster, built products, and were more likely to earn money.
