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Simple, powerful user engagement analytics

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Derek Skaletsky
@dskaletsky · Founder & CEO, @knowtifyio, @sherlock_SF
Hi PH'ers - Happy to have Sherlock hunted! We're very excited to release Sherlock - our latest offering for product teams looking to understand how their users are engaging with their product. With SHERLOCK, you create a custom engagement algorithm for your product by scoring each one of your events based on its "engagement weight" and Relay delivers you a… See more

Discussion

M
Derek Skaletsky
@dskaletsky · Founder & CEO, @knowtifyio, @sherlock_SF
Hi PH'ers - Happy to have Sherlock hunted! We're very excited to release Sherlock - our latest offering for product teams looking to understand how their users are engaging with their product. With SHERLOCK, you create a custom engagement algorithm for your product by scoring each one of your events based on its "engagement weight" and Relay delivers you a… See more
Gorkem Cetin
@gorkemcetin · I built Countly analytics platform
For the last few years I see that customer engagement calculation is automatically done/calculated by more and more SaaS services. I understand that you can "actually" define your engagement KPIs to have a summated metric - in fact a sum is really avoided and not suggested in metric world, as it's only a number and doesnt represent much value. But the main… See more
Chris Prescott
@cpresc · Product Lead, Arago
I love the simplicity of this and totally get the need; it's so easy to get bogged down with metrics. I haven't used the product yet, but will take a look when I get time. Great call using Segment. One question for @dskaletsky do you also provide inverted results? For example, I'd be more interested in 'what users DIDN'T get engaged and of those users what… See more
Guy Malachi
@guy · Chief Product Officer at Showbox
Cool concept! How is this integrated in the product? I'm assuming we'd need to add your Javascript and then need to manually setup each event that we want to track?
Brennan McEachran
@i_am_brennan · CEO, Co-founder
2 cents on this: engagement is fairly easy to find and calc. The harder stuff to discover is retention. Modelling how often you want a user back vs how often they do come back. Finding example users who model that behaviour and enabling more to do so...