Michael

[Michael @Michael0101go]

Need 3 real Shopify operators for a blind win-back test.

1 repeat-purchase product.
3–5 REAL anonymized customers.

You rank them.
I rank them independently.
We compare.

No PII/store access.
No synthetic data.

Reply “test”.

[Michael @Michael0101go]

Need real Shopify operators for a live test.

Give me 1 repeat-purchase product:
• product
• reorder timing
• how you prioritize overdue buyers

I'll test whether I can improve that decision.

No PII/store access. Free first test.

Reply “test”.

[Michael @Michael0101go]

Need 10 Shopify stores for a free repeat-revenue test today.

Send 1 product:
• Product
• Reorder timing
• How you identify overdue buyers

No customer data/store access.

Store owners only. Reply “test”.

[Michael @Michael0101go]

Need 10 Shopify stores for a free repeat-revenue test today.

Send 1 product:
• Product/category
• Expected reorder timing
• How you identify overdue buyers

No customer data/store access.

Real store owners only. Reply “test”.

[Michael @Michael0101go]

Shopify founders: are you missing repeat revenue after the first order?

I’m looking for 1 real store to test 1 product free.

Send:
• Product
• Expected reorder timing
• How you identify overdue buyers

No customer data/store access.

Reply “test”.

[Michael @Michael0101go]

@Hadihelps Fair question. I’m testing a lightweight Shopify repeat-revenue diagnostic: find where expected reorders are leaking and return actionable priorities.

No store access needed—just a small anonymized sample. Happy to run the first test free.

[Michael @Michael0101go]

@Chris_Wichert Exactly. That “data exists, but nobody owns the action” gap is what I’m testing.

Have you seen a merchant dealing with this now? I’d run a small anonymized test free and share the findings back.

[Michael @Michael0101go]

Most Shopify brands are good at getting the first order.
The hidden questions:Which customers never come back?Which customers almost return but disappear?
Which customers should receive attention first? harder part is turning lifecycle signals into action. How do you measure this

[Michael @Michael0101go]

Roofing/HVAC/remodel owners:

Got old estimates that never closed?

I’m testing a revenue-recovery service to find which old opportunities may be worth re-engaging first.

I’ll test 3 anonymized estimates free.

If useful, the full pilot is $149.

Need 1 contractor. DM me “test”.

[Michael @Michael0101go]

Shopify store owners:

Customers buying once but not coming back?

I’m testing a small revenue-recovery service to find repeat revenue your current setup may be missing.

I’ll test 1 real product free.

If it finds a useful gap, the paid check is $49.

Need 1 store. DM me “test”.

[Michael @Michael0101go]

Shopify store owners:

customers who bought once but haven't bought again, which is closer?

A) We mostly use a standard 30/60/90-day win-back timing

B) Different products need different reorder windows, someone has to make that judge

A or B is ok — I'm testing an assumption.

[Michael @Michael0101go]

question for roofing /HVAC owners:

You have 50 old unsold estimates sitting in your CRM.

the bigger problem?

A) Nobody consistently follows them up

B) We follow up, but don't know which ones are actually worth prioritizing

A or B is enough — I'm trying to test an assumption.

[Michael @Michael0101go]

Roofing/HVAC/remodeling owners:

with a backlog of old estimates, CRM already tell you which 5–10 are most worth following up with?

Or still manual judgment?

Looking for 1 contractor willing to test this on 5–10 anonymized old estimates. No homeowner info or CRM access needed.

[Michael @Michael0101go]

Can Shopify/Klaviyo reliably tell you when a one-time buyer is genuinely overdue for a 2nd purchase based on what they bought?

Or do you set reorder windows manually by product/category?

test this on one anonymized example. Existing tools solving it is useful evidence too.

[Michael @Michael0101go]

@brandonkuipers when a customer buys once but doesn't come back, can your current stack reliably tell you when they're genuinely overdue for another purchase based on what they bought?

Or does someone still have to manually define that timing by product/category?

[Michael @Michael0101go]

@GoTo_Roofing When you have older estimates that never closed, is deciding which 5–10 are worth following up on still a manual judgment for your team?

If it is, I wanna test the prioritization on 5–10 anonymized old estimates and send the result back. No homeowner identities or CRM needed.

[Michael @Michael0101go]

Looking for ONE roofing/HVAC/remodeling owner to test something.

If you have old estimates went quiet:

Can CRM tell you which 5–10 deserve follow-up first?

If not, I’ll rank 5–10 anonymized estimates and send the result back.

No names, emails, phone numbers or CRM access.

[Michael @Michael0101go]

Roofing / HVAC / remodeling owners:

If 30 estimates go quiet, can an experienced salesperson already tell which 5–10 deserve follow-up next?

Or is prioritizing them still genuinely manual / inconsistent?

Interested in firsthand answers from contractors.

[Michael @Michael0101go]

Shopify merchants:

Is defining the right reorder window for one-time buyers actually a pain point?

Klaviyo can segment them.

But deciding who's too early, genuinely overdue, or worth a win-back still requires product/category judgment.

Real problem or basically solved?

[Michael @Michael0101go]

@Chris_Wichert interesting — the signal is already, but ownership of the diagnosis may be missing.

this happen in a real Shopify/Klaviyo store?

If so, was problem actually hard to diagnose from the existing tools, or data already clear and nobody responsible for connecting it to an action?