Case Studies
17 campaigns. Real data, real messaging, real results.
LinkedIn Ads Agency
Approach Scraped LinkedIn Ads using Apify, qualified which companies are B2B.
Why it worked Personalized first line referencing their actual LinkedIn ad activity made the outreach hyper-relevant.
AI Solution for Restaurant Ordering
Approach Scraped Slicelife and Toasttab restaurant directories. Used Prospeo to find emails associated with domains and reverse prompts to find job titles.
Why it worked Restaurant prospects are hardly found in LinkedIn/Apollo. These emails are hardly touched by cold email, so they're more open.
Reputation Management Platform
Approach Scraped law firms using Serper, segmented into 3 segments with 3 different messaging angles. Scraped actual Google reviews using Apify.
Why it worked Created 3 distinct segments (< 80 reviews, 1-2 bad reviews, 100+ reviews) with completely different pain points and messaging.
WhatsApp Business Messaging
Approach Scraped Hotels from Apollo, Directories, and Google Maps using SerpAPI. Referenced their OTA listings.
Why it worked Referenced their OTA listings (Booking.com, etc.) and offered to reduce commission dependency through direct WhatsApp bookings.
AI Agent for Customer Engagement
Approach Scraped software companies offering free trials from Product Hunt, GetLatka, GetApp, Toolify, Sourceforge. Used Pandamatch and Similarweb for traffic data.
Why it worked AI prompt checked if they actually offer free trial. Companies with free trials want to convert users to paying customers.
Customer Retention Platform
Approach Scraped software directories like Crunchbase, Product Hunt, GetLatka, GetApp, Toolify, Sourceforge. Ran AI prompts to check for free trial offerings.
Why it worked Targeted companies with specific headcount in phone support/customer support department and heavy website traffic.
B2B Data Enrichment Platform
Approach Targeted companies with multiple domains (burner domains) indicating active cold email operations. Used Pandamatch to detect burner domains.
Why it worked Burner domains forwarding to main domains is a clear signal they're running outbound and need better data.
Wellness App Development Agency
Approach Scraped Google Maps for wellness centers (Yoga, Pilates, Sauna, Cold Plunge, Ice Bath). Also scraped Apple App Store for wellness apps with bad reviews.
Why it worked Referenced their strong community (review count) for studios. For apps, referenced actual 1-star reviews as pain points.
Marketing Agency
Approach Used Store Leads + Similarweb to find Top 10 keywords driving organic traffic and competitors. Enriched using Claygent to find branded keywords.
Why it worked Mentioned specific competitor ranking above them for their target keywords. Showed exactly who is beating them.
Vacation Rental Software
Approach Used DiscoLike, Clay lookalike search, and SerpAPI Google Properties to find STRs/Vacation Rentals. Maximized contact points across personal, work, and generic emails.
Why it worked Hard-to-scrape list with maximized contact points. Mentioned specific property locations they manage.
M&A Advisory Firm
Approach Used Serper to scrape local businesses. Targeted specific business types in specific locations.
Why it worked Mentioned having buyers ready for their specific business type in their location. High relevance through local + vertical targeting.
Clay Enterprise Partner
Approach Targeted people following competitors (like Artisan) on LinkedIn. Used competitor follower lists as an intent signal for outbound interest.
Why it worked Following a competitor on LinkedIn is a strong intent signal. These prospects are actively interested in outbound solutions.
Talent Marketplace for Home Service Pros
Approach Used AI to filter a big list, only targeting the right service provider in the ICP locations.
Why it worked Mentioned having buyers ready for their type of business in their location. AI-based filtering ensured high relevance.
AI SEO / GEO Provider
Approach Launched 4 parallel angles tackling pain points: LLM Reality Check, New in role + LLM Search Results, Competitors showing in AI results, Traffic trend decline.
Why it worked Poked around the pain point in a timely manner. AI search disruption is a hot topic and multiple angles tested simultaneously.
Online Ordering & Restaurant Marketing System
Approach Launched 3 angles with AI-personalized lines targeting restaurants from directories and Google Maps.
Why it worked Used AI to create personalized lines at scale. Multiple variants tested simultaneously to find winning messaging.
AI Optimization Platform (AEO)
Approach Launched 3 campaigns: Competitor Comparison, Perception Check, and Billboard (Why It Matters). Targeted companies whose AI brand perception may be costing them deals.
Why it worked Timely messaging around AI perception of brands. YC-backed founder angle added credibility. Specific case studies like Reducto (11x AI citations increase).
Hard Money Lender for Residential & Commercial Investment Properties
Approach Used county recorder data to find everyone who took a loan from a competitor in the last year, enriched the borrowing entity into a real decision-maker, and emailed a verifiable fact about their own deal followed by a same-day quote offer. Run as 4 iterations of the competitor targeting campaign.
Why it worked Every email opened with a public record the prospect could verify about their own deal, so it read as research instead of a pitch. The same-day quote gave an immediate reason to reply. 468K emails sent, 384 positive replies at 15-20% of all replies.