I'm working with a client who is expanding from their home country into the UK market. While I have comprehensive TAM data for the UK, I need to execute a lookalike campaign that identifies which companies in my current database most closely resemble successful companies from the client's original market. My current challenge is that available online resources primarily address lookalike modeling for scenarios with no existing data, or they focus on individual attribute matching rather than holistic company profiling for cross-market expansion.
You can execute a lookalike campaign in Clay using Ocean.io's integration to identify companies similar to your client's successful ones. Here's how: 1. Start with your existing database of companies in Clay 2. Add the Ocean.io lookalikes enrichment to your table 3. Use company domain as the primary matching field 4. Apply specific filters to target the UK market: ā¢ Restrict lookalikes to UK companies ā¢ Match by relevant company size ā¢ Filter by appropriate industry For best results: 1. Identify your client's most successful companies from their original market 2. Run the lookalike enrichment on this subset 3. Each company will generate at least 10 lookalikes with similarity scores 4. Use "write to table" to create a new table with these lookalikes This approach lets you strategically expand your targeting with companies that holistically resemble your client's successful ones, making your cross-market expansion more precise and effective.
