AI Cold Email for Ecommerce Brands
Founder of Link AI. Writes about voice agents, cold email, and the operational reality of running them in Hebrew and English.
Ecommerce brands grow through two channels: paid acquisition and wholesale relationships. Wholesale outreach is the channel that almost nobody runs well — buyer inboxes are full, templated pitches die on arrival, and the brand's actual differentiator (margin structure, retail-ready packaging, exclusivity terms) never makes it into the first email. Mailer reads each buyer like a junior account exec would, references the buyer's actual store mix and recent merchandising decisions, and writes the pitch around fit. Brands using Mailer typically book 4-8 buyer meetings per month from cold, where they previously booked one per quarter.
The wholesale problem in ecommerce
DTC brands hit a ceiling on paid acquisition somewhere between two and ten million ILS of annual revenue and need wholesale to keep growing. Wholesale buyers — boutique store owners, regional chain merchants, marketplace category managers — receive 40+ cold pitches per week and ignore most of them.
The pitches die because they sound the same: 'We're a DTC brand doing great numbers on Instagram, would love to chat about getting into your store.' That sentence does not give the buyer a reason to reply.
What Mailer does for ecommerce brands
Mailer reads each buyer's store mix (which competing brands they carry, which categories are over- and under-represented, recent merchandising moves), enriches with public signal (Instagram posts, press, recent expansion), and writes a per-buyer email that references the actual fit thesis — not generic flattery. Each email includes margin and retail-ready specifics so the buyer can decide in 60 seconds whether to take a meeting.
- Per-buyer store-mix and merchandising analysis
- Concrete fit-thesis emails, not generic 'love to partner'
- Margin and retail-ready specifics inline
- Two-touch follow-up cadence
- Hebrew and English
- Reply routing to the founder or wholesale lead
How Mailer writes an ecommerce wholesale pitch
Example: an Israeli DTC skincare brand targeting boutique chains in the US Northeast. Mailer pulls 80 buyers, reads each store's current skincare assortment, identifies which brand has the weakest hero SKU (high price-per-unit but low review velocity), and writes 80 emails each anchored on replacing or complementing that specific SKU. The pitch is concrete enough that the buyer can decide in 30 seconds.
ROI math for an ecommerce brand
A DTC brand with a 2-person wholesale function previously books 1-2 buyer calls per quarter from cold outbound at template quality. Mailer at similar volume — but per-buyer writing — typically books 8-15 buyer calls per month, because the reply rate on tightly-targeted ecommerce outbound moves from 1-2% to 8-12%. The math works because the average wholesale account value is much higher than DTC LTV, so even three new accounts per quarter pays for the program many times over.
Frequently asked questions
Does Mailer work for B2C ecommerce outbound too?
Mailer is built for B2B outbound — wholesale, partnerships, B2B retail. For B2C retention and reactivation we recommend purpose-built ESPs like Klaviyo. The two complement each other.
Can it read my Shopify or competitive store data?
Yes. Public store data (assortment, pricing, recent merchandising) is part of the enrichment layer. We do not pull data from a buyer's private systems.
Hebrew outbound for Israeli wholesale buyers?
Yes. Hebrew is first-class. Most Israeli brands run a mix — Hebrew for the local Israeli wholesale market, English for export.
How fast can we launch a wholesale campaign?
Two-week ramp is typical: week one for domain warmup and ICP definition, week two for the first batch of per-buyer research and writing. After that, weekly cadence.