All Campaign Work
16 campaigns across multiple industries
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).