u/Final_Schedule_3129

We've tried everything surveys, calendar links in the offboarding flow, cold DMs to churned users. Response rates are terrible across the board. The engaged customers always respond, the ones who left never do. How are other small business owners handling this? Is there a method that's actually worked for getting honest feedback from disengaged or churned customers specifically?

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Doing a stack audit this week and realized I have no idea what everyone else is running.

We're a small ecommerce brand, about 8 people. Over the last two years we've just kept adding tools whenever something broke or someone recommended something in a thread. Now I've got a bunch of subscriptions and I'm not sure we're actually covered where it matters.

Specifically curious what you're using to understand customers, not just traffic and revenue, but actual behavior and motivation. What they want, why they bought, why they didn't come back.

What's your stack? Curious what a lean team is actually running in 2026.

Tried messing around with Frank AI researcher a bit and noticed research-focused AI tools seem way more restrictive compared to normal chatbots. A lot of prompt injection/jailbreak-style prompts that work elsewhere either get ignored or heavily filtered when the model is tied to search/research workflows.

Wondering if that’s because of different system setups or just stricter moderation layers.

Stumbled across Frank AI researcher. Basically it interviews your customers for you  at scale, overnight, no scheduling headaches. But what caught my attention as a marketer is what comes out of those interviews. Real language people use to describe your product. Real objections. Real reasons they almost didn't buy. That stuff is gold for messaging, positioning, ad copy  everything. 

Most marketing strategies are built on assumptions. We think we know why people buy. We rarely actually ask. And when we do ask, we get polished answers because nobody wants to be brutally honest to a human. Frank apparently fixes that last part. People just... say what they actually think. For anyone doing positioning work or trying to figure out why your messaging isn't converting  this seems like it could be genuinely useful.

Anyone tried it for marketing research specifically?

Stumbled across Frank AI researcher. Basically it interviews your customers for you  at scale, overnight, no scheduling headaches. But what caught my attention as a marketer is what comes out of those interviews. Real language people use to describe your product. Real objections. Real reasons they almost didn't buy. That stuff is gold for messaging, positioning, ad copy  everything. 

Most marketing strategies are built on assumptions. We think we know why people buy. We rarely actually ask. And when we do ask, we get polished answers because nobody wants to be brutally honest to a human. Frank apparently fixes that last part. People just... say what they actually think. For anyone doing positioning work or trying to figure out why your messaging isn't converting  this seems like it could be genuinely useful.

Anyone tried it for marketing research specifically?

Been running an ecommerce store for about 3 years. For most of that time I was reading a bad review when something went wrong. Four months ago I actually sat down and built something intentional. Here's what I'm using now:

Post purchase survey with one rotating question per month. Support tickets exported weekly into a doc, not to read everything but to find repeating phrases. For the analysis side I've been testing a few AI tools. Perplexity for quick market research, Frank AI researcher for deeper data about customers, what they think and want. Gemini for cross referencing assumptions.

I started to pay attention in a more structured way. Biggest realization was that I was making product and copy decisions based on my own language not my customers language. Fixing that one thing changed my conversion rate more than any ad spend I've done.

Curious what others are using especially for the analysis side. That's where I wasted the most time before I found a system that actually stuck.

Been running an ecommerce store for about 3 years. For most of that time I was reading a bad review when something went wrong. Four months ago I actually sat down and built something intentional. Here's what I'm using now:

Post purchase survey with one rotating question per month. Support tickets exported weekly into a doc, not to read everything but to find repeating phrases. For the analysis side I've been testing a few AI tools. Perplexity for quick market research, Frank AI researcher for deeper data about customers, what they think and want. Gemini for cross referencing assumptions.

I started to pay attention in a more structured way. Biggest realization was that I was making product and copy decisions based on my own language not my customers language. Fixing that one thing changed my conversion rate more than any ad spend I've done.

Curious what others are using especially for the analysis side. That's where I wasted the most time before I found a system that actually stuck.

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