Clients
Purple Lotus and The Flower Shop are public Conversion System clients. We can talk about the market, the work category, and the kind of revenue system involved. Performance numbers will publish when each result has a baseline, date range, and evidence a buyer can inspect.
What this covers
Client proof
Purple Lotus and The Flower Shop are public Conversion System clients. This page covers the market, the work category, and the kind of revenue system involved. Performance numbers will publish when each result has a baseline, date range, and evidence a buyer can inspect.
Named client
Cannabis retail
Revenue-system work for a regulated cannabis retailer.
Purple Lotus is a public Conversion System client. We can describe the work category now; performance results will publish when the baseline, date range, and evidence are ready to review.
Named client
Cannabis retail
Revenue-system work for a multi-location cannabis retailer.
The Flower Shop is a public Conversion System client. We can describe the work category now; performance results will publish when the baseline, date range, and evidence are ready to review.
The engagement
The useful story is not "we used AI." It is where the buyer path was stuck, what changed, and how the team could tell whether the work mattered.
Step 1
A structured look at where buyers come in, where they stall, and which gap is worth fixing first.
Step 2
One useful system around the gap: a page, workflow, handoff, CRM path, follow-up sequence, dashboard, or custom AI workflow.
Step 3
The result is measured against the baseline. When performance is ready to publish, the context appears next to it.
What proof looks like
Naming a client is different from publishing a performance number. A number needs the baseline, the date window, the work shipped, and the outside factors that could have influenced it.
A useful result begins with the constraint the audit named: search visibility, conversion routing, CRM visibility, follow-up, reporting, or operating cadence.
A buyer should see what changed in the revenue engine, not just a large number with no explanation behind it.
Revenue moves for many reasons. Each result will say what the build influenced and what other business factors could have contributed.
Technical proof
For technical B2B buyers, proof starts with the path from inquiry, to missing context, to handoff risk, to the next action the team can manage.
An anonymized example of how one technical inquiry becomes a build case, a later follow-up path, or a wait recommendation.
A benchmark page for response, qualification, specialist handoff, proposal movement, and pipeline visibility.
A sample map for showing how complex demand should move through stages, owners, criteria, and next actions.
A proof page for showing what should happen after send: owner, buyer input, risk, review date, and next action.
A proof page for checking stage, site, capacity, buyer role, missing input, owner, and next action before handoff.
The commercial path for complex B2B teams that need cleaner qualification, follow-up, handoff, and dashboard visibility.
Next step
If there is a measurable revenue problem worth fixing, the Revenue Audit shows whether a Revenue System Sprint is the right next move.
Apply for a Revenue Audit