Practice
E-commerce growth
The operator's version, from someone running two brands.
Radia and Blanc Research are mine, which changes what this is. I am not reading you a playbook from an agency deck — I am doing the same work on my own P&L, where being wrong costs me money rather than a client.
The work is unglamorous and in this order: the offer, then the funnel arithmetic, then retention, then acquisition. Most stores that ask for help with ads have a conversion problem, and buying more traffic into a leaking funnel is the most expensive way to discover that.
One thing said upfront because it saves everyone a month: below roughly 25,000 sessions a week you cannot A/B test to a reliable answer. At 10,000 a week you need eight weeks to detect a 17% change, and most real changes are worth 2–8%. If you are under that, we make judgement calls from mechanism and cohort data and say plainly that they are judgement calls.
What you get
- A full teardown: offer, pricing, funnel step by step with the drop-off at each, and the two steps with actual headroom.
- A prioritised list where each item carries the expected effect and the reason, not a severity colour.
- Retention and lifecycle: the email and post-purchase sequences, written, not briefed.
- Monthly review against the numbers, with the things that did not work named as such.
What this line is not
- I do not run your ad accounts. I will tell you what to change and check the results; a media buyer executes.
- No guarantee of a revenue number. Anyone quoting you one has either not read their own data or is lying about it.
- Not for pre-launch stores with no traffic — there is nothing to diagnose yet, and you would be paying me to guess.
Where to check it
Real products with real customers, not a case study written about itself.