SERP-Based Cold Email Personalization

A sales agency enriches 200 leads/week. For each lead, they query Scavio for '[company] hiring', '[company] reviews', and '[founder name]'. Cost: 600 queries = $3/week. The LLM generates openers like 'Saw you are hiring 3 SDRs -- scaling outbound usually means the research bottleneck hits next.' Reply rate increased from 2.1% to 11.8%.

SERP-Based Cold Email Personalization is relevant to Google, Google Maps. Scavio provides a unified API to access data from all of these platforms.

Generic cold emails get 1-3% reply rates. Personalized emails referencing specific, current information about the prospect get 10-15%. The bottleneck has always been research time: manually Googling each prospect takes 5-10 minutes. SERP-based personalization automates this by querying a search API for each prospect and extracting actionable signals from the results. A typical pipeline: 1) Take prospect name + company from CRM, 2) Query Google for '[company name] hiring 2026' and '[company name] news', 3) Extract signals: are they hiring (growth signal), did they raise funding, did they launch a new product, do they have bad reviews (pain signal), 4) Feed signals to an LLM to generate a personalized opener. At 3 queries per prospect, Scavio costs $0.015/lead for personalization data. Clay automates similar workflows but starts at $185/mo (Launch, 2,500 data credits). Apollo provides some enrichment data but relies on their proprietary database, missing real-time signals like recent news or reviews. The SERP-based approach catches signals that database-based tools miss because search results are updated in real time.