The problem
Cold outreach to e-commerce brands flops when the email is generic. Reps spend hours digging through product catalogs to personalize a pitch — and still miss the cross-sell angles that would make it actually land.
← All automations
Live automation
Scrape it, pitch it. personalized cold email, per store
Point it at any e-commerce store. It scrapes the catalog, picks 4 complementary products worth bundling, and writes the personalized pitch — turning 2% cold-email replies into 6%.
3x
Reply rate (2% → 6%)
4
Cross-sell products / store
01 / The why
Generic emails get ignored
The solution
A scraper that reads any e-commerce site and surfaces 4 complementary products worth bundling. Built-in AI then writes the personalized pitch — bundle value, AOV upside, specific product picks — tailored to that exact store.
3x reply rate — 2% to 6% on cold email
~3 hours saved per campaign vs manual research
4 cross-sell products found automatically
02 / See it in action
Point it at a store, watch it pitch
Scrapes the catalog · finds 4 cross-sells · AI writes the pitch
Fetching catalog…
Cross-sell picks
C
Vitamin C Serum
$48
AnchorM
Hydrating Moisturizer
$36
Pairs +82%S
SPF 50 Sunscreen
$32
Pairs +64%F
Gentle Cleanser
$28
Pairs +51%
AI-generated pitch
Bundle AOV: $116 · +22% vs single item
psst — drop in any store URL, then hit Analyze store
03 / How it works
1
2
3
Scrape, bundle, write
Give it any store URL — it scrapes multiple pages and identifies 4 complementary products that bundle well together.
A built-in AI column generator writes personalized email copy for each product set — bundle pitch, AOV upside, the works.
Drop it into a cold campaign: every e-commerce prospect gets a pitch about their actual catalog, not a template.
Tech stack
Web Scraping
AI Content Generation
Product Analysis
JSON Parsing
04 / Say hello
Let's talk ↗
Let's talk ↗
Running outbound to e-commerce brands? Let's wire up pitches that actually reference their catalog.