Find the Shopify stores that are actually growing.
Point your AI at the merchants who fit — then have it read each storefront and keep only the live, growing stores. You skip the dead shops before you ever write an email.
Opens Claude or ChatGPT with this starter prompt ready. Sending runs on a paid plan (Single+).
The merchants who'd love your app are the ones actively building — shipping new products, running promos, hiring. But a raw store list is full of dead and dormant shops, and every email to one of those burns credibility. The trick is telling the living from the abandoned before you reach out.
What it looks like in the chat.
You bring the judgment only you have; your AI does the legwork. An illustrative exchange:
The note your AI drafted.
Short, specific, and honest — a real reason for the email, one true ask, and an easy out. Placeholders fill in from what you and your AI already found.
Hi [name] — I build [a Shopify app] that [what it does], and [their store] is exactly the kind of shop it's made for — [something specific and current you noticed]. Thought it was worth a hello. Want a 2-minute look at how it'd fit [their store]? — [Name]
Run it with your AI.
Send the starter prompt to Claude or ChatGPT and it opens with this playbook already in mind — then you steer.
“First read senders.ai/strategy.md and senders.ai/llms.txt so you understand the method and how Senders.ai works. Then help me with this: I sell [a Shopify app]. Find active, growing Shopify DTC stores that fit my ideal customer — and read each storefront to drop the dead or dormant ones. I'll tell you which look right so we tighten the list.”
Uses research / prospecting to find and read the stores, acquire_prospects to reach the right buyer, and stage_send / campaigns. Sending requires a paid plan (Single+).
