Lookalike Modeling
Lookalike modeling identifies prospect companies that share characteristics with your best existing customers. The model only works if your customer data is enriched enough to identify meaningful patterns. We provide the firmographic and technographic depth that makes lookalike models actionable.
You want to find companies similar to your top 50 customers. But your customer records have company name, one contact, and revenue. That's not enough to build a meaningful similarity model. You need 15-20 firmographic and technographic attributes per customer to identify patterns worth replicating.
How We Enable Lookalike Modeling
- Customer enrichment. We append 15-25 data points to each customer record: industry, sub-industry, company size, revenue, tech stack, growth rate, funding status, and more.
- Pattern identification. With enriched data, your analytics team can identify which attributes your best customers share that your worst customers don't.
- Universe building. We can build a universe of companies matching your lookalike criteria, giving you a prospect list that mirrors your customer base.
- Scoring data. Each prospect in the lookalike universe gets the same enrichment fields as your customers, enabling apples-to-apples similarity scoring.
Lookalike Modeling Outcomes
- A clear set of firmographic and technographic attributes that define your best customers
- A prospect universe of companies matching those attributes, ready for outreach
- Higher conversion rates on outreach because prospects are pre-qualified by similarity to winners
- Data-driven expansion into new markets by identifying lookalikes in geographies or verticals you haven't targeted yet
Common Questions
Do you build the lookalike model or just provide the data?
We provide the enriched data and can build the prospect universe. The statistical modeling — choosing which attributes matter and how to weight them — can be done by your data team using our enriched data. We can also connect you with analytics partners if you need help with the modeling itself.
How large is the lookalike prospect universe typically?
It depends on how specific your customer profile is. If your best customers are mid-market healthcare companies using Salesforce with 200-500 employees, the universe might be 2,000-5,000 companies. If your criteria are broader, the universe grows proportionally. We'll give you a volume estimate before building the list.
Can you score the lookalike prospects by similarity?
Yes. Each prospect gets a similarity score based on how closely they match your customer attributes. This lets you prioritize outreach starting with the closest matches and working outward. We provide the data fields needed for scoring, and the scores can be based on whatever weighting your team chooses.
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