Scavio for Cold Email Personalization at Scale with Search Data

The Problem

Cold email campaigns using static B2B database data (Apollo, ZoomInfo, Clearbit) reference company information that is months or years old. Companies pivot, rebrand, and launch new products. Emails referencing outdated information signal laziness and reduce reply rates to 1-2%.

How Scavio Helps

• 3 searches per prospect at $0.015 total enrichment cost
• Live data replaces months-old database records
• Reddit surfaces community pain points for angle development
• Reply rates improve from 1.4% to 3.9% with fresh signals
• Works with any cold email platform via CSV enrichment

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "An agency enriches 2,000 prospects before a campaign. For each: Google search for '[company] news 2026' and '[company] product launch', Reddit search for company mentions. 6,000 total queries at $30. Personalization snippets reference specific, recent events. Outdated reference rate: under 2% vs 15% with static data. Reply rate: 3.9% vs 1.4% generic.":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Cold email operators, growth teams, outbound agencies, solo founders doing cold outreach

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your cold email personalization at scale with search data solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.