Problem - You Can Not Generate Leads That Can Pay:
You need to target specific businesses owners or ICP (Ideal Customer Prospects) through paid ads.
Interest targeting does not work, as it just provides an inaccurate level of intent. While taking business lists and uploading them to ad platforms as a custom audience results in the ads not even running as it’s too small.
What Our Customers Do to Solve This:
Our customers use the B2B2C (Business to Business to Consumer) to identify specific businesses and business types then match this back to the personal data so they can be targeted on paid ads.
Real Examples of Customers Doing This:
How Air.ai Generated $11m inside Just 30 Days With $250k Ad Spend By Targeting Businesses on facebook Ads.
Problem:
Air.ai is an ai voice model Saas that creates inbound systems for advertisers and agencies. They were looking to target specific industries on Facebook Ads that had both the intent and qualifications to afford their 12 month subscriptions.
Solution:
- Using the AudienceLab B2B2C feature, we were able to identify all the agencies over a certain revenue amount.
- Mapping this via our pre-made segment for ‘conversational ai’ we were able to map businesses that were actively searching for ai technologies and voice model products.
- This audience was synced directly to Facebook via our AudienceLab Facebook sync which pushed fresh data in everyday.
Results:
- Over $11m revenue generated in just 30 days from $250,000 ad spend. That is a 40x Return on Investment.
- The quality of the leads was 50% higher than before with higher conversion rates while paying less for cost per show up.
Why This Is Important
Teaching ad platform algorithms to find you a QUALIFIED customer is the biggest hack in business. Without having the data it can be extremely expensive and take months and thousands of dollars.