How it works

From raw transaction data to
ranked revenue decisions — in three steps.

No analyst, no data team, no new tooling to learn. Qlevo runs 15 years of CRM and retention logic against your data automatically, every time.

01

Connect your data

Upload a transaction export from any platform, any CRM — Shopify, Klaviyo, POS systems, or a plain spreadsheet. Qlevo needs just three fields to start: customer ID, order date, order value.

Your data is processed for the session and never persisted. Every upload starts fresh, and each license key is fully isolated.

  • CSV upload, no integration work required to start
  • Optional native two-way sync with Klaviyo
  • Data isolated per license, never stored beyond the session
Qlevo CSV upload screen — connect your transaction data
02

Qlevo runs every model

RFM segmentation, cohort analysis, lifecycle velocity, and 14 distinct leakage detectors run simultaneously against your data — the same models a senior CRM strategist would run by hand, encoded and automated.

An AI narrative layer then explains what each signal means in plain language and how urgent it is, so the output reads like a strategist's briefing, not a raw dashboard.

  • 14 leakage detectors covering churn, lapsing VIPs, stalled second purchases, and more
  • RFM, cohort, and churn-risk scoring, all at once
  • Plain-language AI narrative layer with severity framing
Qlevo lifecycle signals — high, medium, and low priority revenue risk and growth opportunity signals
03

Act on ranked decisions

Signals are collapsed into a single prioritised action queue — ranked by revenue impact and urgency, not scattered across isolated dashboards. Each recommendation comes with a ready-to-download audience list.

Pro accounts can push audiences directly into Klaviyo segments; every account can export a CSV for whichever platform runs the campaign.

  • One ranked action queue, not a wall of charts
  • Revenue impact and urgency shown for every recommendation
  • Audience export as CSV, or a direct Klaviyo segment push
Qlevo AI analysis — problem summary, root cause, and recommended action for an AOV decline signal
Product tour

Inside the action queue

Every signal shows its full customer overlap — so you know exactly who to reach and how many campaigns they're already part of.

Qlevo action queue ranked by revenue impact and effort
Action queue — ranked by revenue impact and effort, each with a one-line recommendation.
Qlevo action queue customer overlap breakdown across signals
Overlap breakdown — see how many customers in a signal also appear in others, to avoid duplicate outreach.

See it on your
own data.

Book a 30-minute demo. Bring your own data — or use our sample dataset.

Book a 30-min demo → Join the waitlist

Questions? info@qlevo.io · No commitment. No sales pitch.

Early access

Join the waitlist

Qlevo is opening to a limited number of early accounts. Tell us where to reach you and we'll be in touch before general availability.

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