Aloft turns a business's customer data into a specific, defensible answer: which customers or accounts are leaving, when, and why, then a short list of what to change first.
Illustrative retention curve. The shape of a customer base that keeps buying, against one that quietly stops.
Most teams can report a churn or attrition rate. Very few can say why it moves, which customers or accounts it affects, or what to do about it this month. Aloft closes that gap, working from data you already have.
No dashboard to log into. No platform to adopt. You send an export, we send back a specific, written answer, with the working shown, not just the summary.
Cohort by cohort, channel by channel, the exact point in the journey where people stop coming back.
Reviews, cancellation reasons and support messages read alongside the order data, not instead of it.
Where useful, the same analysis built into your own tools, so the answer updates itself.
"Most retention advice is a guess wearing a dashboard."
Aloft starts from the assumption that the interesting answer isn't the aggregate number, it's the specific segment, source or moment where the pattern breaks. A churn or attrition rate of 8% is not a finding. A rate that triples for one specific segment, in the first 30 days, is.
That means every engagement starts with the data, not a framework applied on top of it. Findings are written in plain language, ranked by what they're actually worth, and handed over with the workings shown, so nothing has to be taken on faith.
Each stands alone. Most brands start narrow and build up as the picture gets clearer.
A full picture of who's leaving and why. Cohort retention, repeat-purchase or renewal rate, time to second order or renewal, and churn or attrition drivers ranked by impact, delivered as a written findings document with the full workings alongside it.
What customers say, checked against what they do. Reviews, cancellation reasons and support messages categorised and quantified, then set against the actual order data to see where the two agree, and where they don't.
The analysis, running on its own. A pipeline configured inside the tools you already use, so retention reporting updates itself instead of being rebuilt from scratch every month.
An outsourced retention analyst, on a rolling basis. Monthly reporting, rolling feedback analysis, and a standing call to decide what to do about what's changed.
A finding that names a segment, a channel and a number beats a slide that says "improve retention." Every deliverable is built to be actioned the same week.
Every number traces back to a formula you can open and check. No black-box scores, no unexplained recommendations.
A fixed brief, agreed before anything starts, and a plain answer if the data can't support the question being asked, rather than a confident guess.
Worked examples on real or modelled data, built to show the method rather than describe finished client work. Full workings sent on request.
A full teardown on a public retail transaction dataset, 4,338 customers, tracing exactly where repeat purchase breaks down.
A modelled supplements brand, showing how acquisition-channel discounting can quietly manufacture a customer base with no lifetime value.
A modelled subscription brand tracking a healthy number, while the real churn point sat one step further down the funnel, unmeasured.
A modelled B2B SaaS account base where the blended renewal rate looked acceptable, until partner-sourced accounts were isolated from direct-sold ones and a 2.6x lifetime-value gap appeared.
What you can already see, what you can't, and whether the data available can actually answer the question. If it can't, that gets said plainly, before anything is scoped.
Exactly what's being answered, what's included, and what isn't, agreed before work starts. No ambiguity about what "done" looks like.
Built from the export you provide. A short check-in partway through, so the direction is confirmed before the write-up begins.
Findings ranked by what they're worth, with the full workings included, not just the headline.
Built by a Customer Insight Professional with hands-on experience across customer measurement, feedback analysis and retention reporting.
No pitch deck, no platform to adopt. Tell us what you're trying to understand, and we'll tell you honestly whether the data you have can answer it.