PureDevs

We're building customer intelligence tools for ecommerce stores... Follow along as we build in public. Join our email list: [puredevs.com]

Most WooCommerce stores don't have a customer data problem. They have a "never queried wp_wc_customer_lookup" problem. The signals are pre-calculated. The data is free. The reading isn't happening.

WooCommerce store owners: how many of your repeat customers haven't ordered in 60+ days? Genuine curiosity — and if the answer is "I don't know," that's actually the most common one.

A customer whose 3 most recent order gaps go 40 → 65 → 92 days isn't a slow buyer. They're a leaving buyer. The pattern is buried in wp_wc_order_stats — and it's the strongest pre-departure signal in your data.

Your WooCommerce dashboard tells you who bought. It doesn't tell you whose gaps are getting longer. That's where every churn signal lives.

Honest question for store owners: how long does a customer need to go silent before you'd consider them gone for good? 60 days? 90? Six months? Curious where everyone draws that line.

Unpopular opinion: a 12:1 LTV:CAC ratio isn't impressive. It's a math error. Real ecommerce businesses run between 2:1 and 5:1. If your number is wildly higher than that, you're not a unicorn. You forgot to subtract something.

Quick gut check for WooCommerce owners: If I asked you right now, what's your LTV:CAC ratio — and how did you calculate it? Be honest. "Revenue divided by ad spend" doesn't count.

A $300 customer can be worth $90 in actual gross profit. If you're calculating LTV from revenue instead of margin, your "3:1 ratio" is closer to 1:1. That's not a healthy business. That's a busy one.

Most WooCommerce stores don't track LTV:CAC. They reference it. There's a difference between a metric you quote and a metric you calculate. One sounds smart at meetings. The other changes how you spend money.

@beefreeio @reallygoodemail folding into RGE makes more sense than it looks — that brand has real pull in the email world in a way Beefree never quite did. harder to find, easier to trust.

Beefree is evolving. The Beefree app is now RGE Studio, inside @reallygoodemail. Same product, same team, new home. We’re putting this channel on hold. For RGE Studio updates, follow Really Good Emails on social. For Beefree SDK updates, find us on the Beefree LinkedIn and YouTube pages.

@mannybarbas_ one bad day is noise. the real problem is nobody defines what 'actually broken' looks like before the bad day hits — so panic fills the gap every time.

My theory around why periods on meta seem so bad is because people (and I have done this myself many times) panic, and touch shit too quick from 1 bad day of performance, and ultimately make things worse, when the best thing to do would’ve been nothing.

@felixhhaas the best prompts read like creative direction, not feature requests. “minimal SaaS dashboard” gets you templates. “feels like a $40k rebrand for a premium audio company” gets you taste.

How To Prompt High-End Websites In Lovable: Prompting is the new designing. Most people use Lovable to describe what to build. The ones getting exceptional results describe how it should feel. Big difference. I've been playing around with a few new prompt hacks over the past few days and collected my favorites into a full playbook. Some of them sound a little strange. Trust me anyway. I recently built a speaker product landing page that looks like a creative agency spent three weeks on it. But in reality it took one proper prompt based on a few patterns that trigger exceptional design. Read full playbook here: open.substack.com/pub/designplus…

Same store. Same year. One owner thinks they're running a unicorn. The other knows they run a healthy ecommerce business. The math you choose changes the company you build.

Follow @puredevshq for weekly ecommerce insights. And grab our free guide — link in bio.

The store owners who outpace the competition don't have a secret LTV:CAC formula. They just calculate it honestly. The metric isn't magic. The honesty is.

Two WooCommerce store owners. Same store. Same year. One calculates LTV:CAC at 3.6:1 — healthy. The other gets 12:1 — unicorn. Same data. Different math. One of them is lying to themselves. Here's how to know which one you are