AUDIENCELAB

Stop Guessing With Coreg Data And Achieve 95% Accuracy.

imagine this...

You receive a list of prospects from a data vendor...
find out over 70% has wrong contact details.

This exactly what happened when we first began our data journey. We bought from every reputable data provider in the industry…yet when we actually did due diligence, it turned out that ‘John Smith from Kansas’ was in-fact ‘Stacy Chambers From Texas’.  This is due to a common process in the data world called ‘fuzzy matching’ which basically means that the data provider is making a “guess” that this person is who they say they are…. 

Majority of this guessing is based on 'cOREG' data aka information that people provide via online forms.

This means that the entire foundation of most data sets are based on whether or not people are putting the right information via online forms they get through paid advertising from a third party. Combine this with “fuzzy matching” and it’s no wonder why most data sets have the wrong people!

Join Over 1,000+ Agency Owners and Advertisers Taking Back Control of Their Data

“We were getting $6-$9 per click, with a 20% avg conversion… with this, CPC at $1.03 and 50% conversion, 3x the number of total clicks”

Robert Trube Director,
Strategy Simple

“We have been hitting the same market for 3 years now and VSL opt-in costs usually $10-25. We uploaded the data from the SuperPixel and within 24 hours cost dropped by 50%”

Bobby Stocks Founder,
BobbyStocks.

“This is one of the best products that I have sold. I got 24 extra appointments for my client just from the pixel.”

Nico, Co-founder
& CEO Agency Owner

The solution

Combine Online With Offline

By combining online data with offline, we are able to get an accurate match that John Smith…really is John Smith. 

Phase 1

Match the email

First we match the email from over 1 billion emails.

Phase 2

Match Email to Consumer Attribute

Next we match the email to the related consumer attributes such as first name, last name, phone number etc. This usually achieved through using COREG datasets.

Phase 3

Skip Trace with Offline Data

Once we have the online attributes of an individual, we cross reference this to offline datasets.

Phase 4

Full Match Unlocked

We now have a full match of the individual with accurate email, phone number and other contact points.

280M

US based consumers in
our database.

95%

Accuracy on fully contact data with our online2offline database.

60B

Over 60 billion behaviours and URL’s scanned every single week.

1000+

Thousands of advertisers and agencies using AudienceLab for their campaigns.

Case Studies

Using AudienceLab to Grow a 30k Subscription Newsletter From Scratch

Using B2B Behavioural Audiences
to Generate a $22m Pipeline For
Medical Saas

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1% of Advertisers?