This week over at Enrich Layer, we added a highly-requested parameter and we're giving away free credits ead on to find out more.
New similarity_score for Reverse Email Lookup Endpoint
We added similarity_score to the Reverse Email Lookup Endpoint.
It works the same as the similarity_score parameter of our Person Lookup Endpoint, and scores between 0 to 1 (low to high similarity) will be given to quantify the resemblance between queried and retrieved profiles. For example, 0.78.
Instead of false positives being removed entirely, you can now decide what to do with the returned profiles based on the similarity_score.
Share your experience and get Free Credits
Over the course of building Enrich Layer, we have heard many great experiences from our customers firsthand. We thought, why not let more developers know of this goodness?
We're thrilled to give out 500 free credits in exchange for a quick tweet from you about your positive Enrich Layer experience. Feel free to share how Enrich Layer has benefited your applications and businesses, and how you've enjoyed using our products.
Here's how it works:
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Tweet about your positive Enrich Layer experience
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Email us at [email protected] with the link to your tweet
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500 credits added to you appy Enrich Layer-ing .S. If you’re interested in the story of how Enrich Layer is growing behind the scenes, our recent blog post about how we used our own product and cold email to scale past $100K MRR may interest you.