A lookalike audience is a list of potential customers
curated by artificial intelligence, based on key attributes
pulled from your existing customer list. In other words,
they ‘look-a-like’ clients or businesses that are already
buying what you’re selling.
Lookalike audiences are already a familiar concept with B2C marketers who use them to run highly-targeted Facebook ad campaigns.
The success of lookalike audiences lies in the available data.
As the world’s most popular social network, Facebook has
easy access to troves of personal data that can be differentiated
and configured to create your “graph.”
Every page or post you like, every brand you follow, information you share about your job, title, education and even day to day browsing activities, all of these data points represent your “graph”, Facebook’s version of your online persona.
Using predictive analytics, Facebook can take a list of your most successful customers and compare them against the entire Facebook user group. The result? A list of the top 1% of Facebook users who are the most similar to your valuable customers, your ‘lookalike audience’.
This targeting strategy has been so effective for digital marketers running B2C marketing campaigns, they frequently see decreases in acquisition costs of up to 50% or more.
Lookalike audiences are powerful - so why aren’t B2B Marketers using them?
Lookalike Audiences are built with data. The more accurate the data, the more accurate the resulting
potential customer list will be.
And therein lies the challenge. Good B2B data is hard to find.
Broad B2B Data, No Depth
Outside of broad attributes, like company size, industry, or location, the vast majority of companies don’t share specifics about their buying behavior. So the depth of valuable data for most companies offering demand generation services just isn’t there.
Working with Limited Available Data
The B2B data that is available might not be the *right data*.
Just because you’ve previously had success selling to companies with 10K+ employees, doesn’t mean that every company of that size is interested in what you’re selling. Or maybe you’ve had a good run of selling to companies based in Ireland. Does that mean you should be specifically targeting other businesses based in the Emerald Isle?
The data is there, but is it data you’re willing to bet the future of your company’s success on?
B2B Data Set, Holistically
For B2B data to be truly valuable, we have to be able to see in
multiple dimensions, or 'vectors'. Some of these vectors will already
be familiar - number of employees, industry, annual revenue. The
easy stuff. The info all your B2B competitors already have.
This is where things get interesting. Our LeadCrunch Data Scientists knew that building a true B2B lookalike audience required better data. Vectors like employee skill sets, educational background, tenure at the company, years of experience, and detailed profiles of company leadership.
With that data, crunched and finessed by artificial intelligence and human-verified for accuracy, LeadCrunch delivers predictive account lists *that convert*.
LeadCrunch provides superior B2B demand generation on a cost per lead basis. No complicated tech stack.
No integrations. No long-term commitments.
It's not magic, it's not a guessing game. It's better B2B data, incredible artificial intelligence, and a team that's passionate about helping you reach your goals.
Improved Customer Acquisition cost by 67%, 23% improvement in lead velocity through the funnel.Read the Oracle+Bronto study
Accelerated Client's Sales Pipeline by 247% with a proven account-based marketing (ABM) strategy.Read the CommCreative case study
Boosted sales by 300%. Improved ROI by 500%.Read the GoShare case study