I own Marketing Ops and Digital Marketing at Algolia and implemented MadKudu about 2 years ago (before it was cool ;)). We are using MadKudu to prioritize leads during the Marketing/Sales hand off process. We are also using it more and more to provide our users that "Michelin starred" level of engagement.
Pros:Granting your users a "Michelin starred" kind of experience/onboarding has never been easier!
Cons:The cleaner your database or your tracking, the better. (On time for Spring cleaning ;))
Explaining how the fit score is defined would be great to educate free users on scoring, push them to ask themselves the right questions and raise progressively a stronger need.
Pros:A perfect "plug and play" solution. 80% of our sign up enriched in the first days. It offers quite a nice dataset to start playing with it.
Cons:it' be great to segment the leads/user we want to enrich to make the most out if these credits
I work with the growth team at Drift running and optimizing paid ads. We use MadKudu to estimate the expected value per lead. We optimize towards this value, which helps us make sure we're driving quality traffic to the site.
Pros:Love that I can score leads automatically.
Cons:Excited to see how lead scoring evolves with more customers and potential for shared learnings across accounts with AI.
Scaleway