An early-stage retail technology firm
3 meetings booked from the first batch of emails.
Mach found the right buyers at the retailers and wrote each a message of its own. Three booked a meeting.
Context
The firm is an early-stage retail technology company that sells merchandising software to online retailers. It already has more than 100 customers, but its investment in go-to-market has been limited so far.
Problem
The firm knows exactly which online retailers it wants to sell to. What it does not always know is who to contact at each company. Nor does it know whether a retailer needs merchandising right now.
Without that, even a well-chosen list is hard to act on. A message can reach the wrong person at the wrong time.
Solution
- Mach researched all 163 retailers on the list and found 44 more buyers at those companies.
- It then wrote to the right buyers, 79 by email and 54 on LinkedIn. Every message was personalized and contextual, built on what Mach had learned about that retailer.
- Mach also spotted ten retailers showing signs of being in the market, so the firm knew where to start.
Impact
- 3meetings booked
- 44more buyers found at the target retailers
- 10retailers showing signs of buying soon