Hey Product Hunt! I'm Alex and I'm the CEO at Qualifyed. I've been a media buyer since 2008 and since that time have managed north of $400M in digital ad spend for brands including Fortune 500s, DigitalMarketer, Traffic&Funnels, Taylor Welch, Keranique and more. I know everyone is suddenly an AI expert... I've actually been utilizing Machine Learning (the more accurate term in this case) with enterprise level clients since ~2017. However, they also pay north of 6 figures for the technology with year long contracts. In December of 2022 however, my team and I - and thanks to a new data licensing agreement with our data partners - cracked a way to bring this tech to the SMB marketing. Do you remember when Facebook Lookalike audiences generated positive ROI? Or even just basic Facebook Interest audiences for that matter? Unfortunately, iOS14.5 changed all of that. After iOS 14 privacy changes, lookalikes audiences native within Facebook/Meta Ads have become nearly worthless. All Machine Learning algorithms at their core require data. And lots of it. Bad data in = bad data out. Less data = less accurate models. To date, all lookalike models - including Facebooks - are built off of both cookie and pixel data. If 96% of US user have opted out of tracking, how well do you think Meta’s algorithms are able to find new cold traffic that looks like your customers? Both Safari and Firefox already block all 3rd party cookies by default. And Google will soon kill 3rd party cookies as well! Do you now get better results just targeting “broad”, untargeted audiences, and win by focusing on the best creative? Feels like running a billboard on the side of the highway, right? Well, you’re not alone. But we have good news for you: by training a Machine Learning / Artificial Intelligence model with your existing 1st party data (read: cookie-less, iOS 14 proof) of existing buyers - you can unlock a “cold” audience of HOT prospects that are exactly like your ideal customer. Lookalike audiences in the 1st party data era We are at the precipice of an industry defining shift. A world where 1st party data, more importantly - how intelligently you use your 1st party data - reigns. You’re already sitting on a gold mine of data. And Machine Learning can unlock it for you Our industry leading Machine Learning System continuously inspects your highest quality Sales. After modeling this data, we can proactively target new, cold prospects with the highest probability to become your next customers. How It Works - We ingest a file of 1st party PII (Personally Identifying information) data of US Consumers - We run these seed files against marketing databases, including credit bureaus, across 3,400 attributes. As these are mostly offline data attributes, these are cookie-less and immune to any future changes of 3rd party cookies. - After training a ML algorithmic model of what your existing buyers look like, we then apply this model to the US population and pre-score 96% of US adults on their likelihood to convert - BEFORE they have even heard of you! - This audience is then ingested into your ad account, via LiveRamp as a hashed email list, for you to run ads against. *Please note that we currently only work with United States data and advertisers* Please send your feedback or any questions! Thanks!

This is super duper interesting. How do companies feed this data to qualifyed? Is through an export of successful ad conversions or can they upload their custom lists as CSVs? I have a crazy idea @jalexherndon - I'd love a chrome extension built on top of qualifyed trained with existing buyers to give "scores" for prospects inside Linkedin Sales nav - this would truly revolutionize outbound! I've followed you on twitter let me know if we could sync synergies later.

Great product. Clear utility especially for business owners trying to market/ run ads them selves. Congratulations on the launch.