Its very hit and miss, not something I would build a service around. In my circle of 4 friends, it only had data on one of us. One big flaw is that you can't provide multiple sources of data as the basis of a search. Eg no phone AND email, only o ne at a time.
4 people isn't exactly statistically significant. FullContact averages a 60% match rate to at least one social profile. Let me know if you find anything better. It's an API. You could run two separate calls and then merge, or run the excel macro with two separate files and merge. We plan to have multiple queries in the future.
FullContact API gives marketing superpowers to growth hackers
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Re: FullContact API gives marketing superpowers to growth hackers
#12This sounds a lot like RapLeaf, what are the pros and cons of each service?
Rapleaf doesn't do social. They are great at demographics. FullContact provides publicly available social profile URLs. Depends on what you are looking for.
Re: FullContact API gives marketing superpowers to growth hackers
#13Earlier quoted context omitted.
4 people isn't exactly statistically significant. FullContact averages a 60% match rate to at least one social profile. Let me know if you find anything better. It's an API. You could run two separate calls and then merge, or run the excel macro with two separate files and merge. We plan to have multiple queries in the future.
I tried it with several hundred. The hit rate was very low. I don't recall exactly what it was, but it was low enough that I abandoned the service.
Sorry to hear that. Out of curiosity, do you remember which response code you were getting? If it was a 202, it indicates that we've accepted your query, but are processing (i.e., going out and looking for the data). If you try again in 5 minutes, you'll normally see a lot more 200's.
(Only reason I ask is we see a lot of confusion over 202's - people often think of them as errors, instead of meaning 'ACCEPTED - PROCESSING'.)
Regardless, if you have a few thousand queries and would like to send us a sample, we're always happy to run a match test and show you what you'd get back (obviously, a larger sample size gives you a better idea of results at scale).