Can Retrics replace my LTV dashboard?

For retention analytics, largely — Retrics ships 13 report pages and 130+ defined metrics, cohorts and RFM included — plus the ad view dashboards can't build: three attribution lenses side by side and LTV:CAC per campaign, priced by what the acquired customers actually did next. What it doesn't do is P&L. If you live in accounting views, keep the dashboard.

Why are your recovered-revenue numbers smaller than a dashboard's ROI figure?

Because Retrics subtracts before it counts. A holdout sets the baseline, and the ~2.7% of lapsed customers who return with no outreach is removed before any dollar is claimed. Self-attributed ROI multiples skip that subtraction.

What does the action queue actually do?

It turns a finding into a decision. When a customer enters her reorder window or drifts past her own cadence, Retrics drafts the outreach — anything in violet was drafted by the AI — and holds it until you approve. Nothing sends without you.

If acquisition economics is your open question, yes — keep the dashboard for spend and margin, and use Retrics for the customers you've already paid to win.

retrics

compare · ltv dashboards

A chart can't win her back.

Dashboards show you the business. Retrics is built for the moment after the chart — naming who's about to lapse and drafting the save.

Explore the demo store

All comparisons

02Credit first

What dashboards get right.

If your bottleneck is visibility — spend, margin, payback — a dashboard may be exactly the right purchase.

Ad-spend & payback views

Blended ROAS, CAC payback, spend joined to revenue across channels. Retrics doesn't attempt any of this.

P&L clarity

Margin after fees, shipping, and costs, per order and per product. The good dashboards do it well.

Board-ready reporting

Fast setup, clean charts, numbers everyone can align on — the team and your investors looking at the same picture.

03The honest line

Knowing isn't doing.

By the time a cohort curve sags, the customers inside it are already gone.

The report

The chart tells you churn happened.

Retrics keeps the reporting layer too — cohort curves, RFM, forecast. But a retention curve is a record of decisions already missed.

The action

Retrics names her — and drafts the save.

Every row resolves to actual customers, scored every sync on their own cadence. When one drifts past her window, the win-back is already drafted — nothing sends until you approve it.

health, return-probability, and reorder window recomputed as orders land

04Measurement

Two ways to count a dollar.

A criticism of a practice, not a vendor: self-attributed ROI flatters everyone who reports it.

The common practice

Platform-attributed ROI

Count every order that follows a campaign as caused by it — no baseline, no control group. Impressive numbers, unfalsifiable claims.

The Retrics ledger

Holdout-measured revenue

A matched holdout goes uncontacted, the natural-return floor is subtracted, and only the remainder is claimed. Smaller numbers — each survives “would she have come back anyway?”

~2.7%

natural-return floor

the share of lapsed customers who return with no outreach — always subtracted before we claim a dollar

3.2×

second-order window lift

12-month backtest of real Shopify orders, holdout-scored

05Side by side

Reporting versus acting.

The first rows go to the dashboards, because spend and margin are their job.

Retrics compared with an LTV analytics dashboard, job by job
	Retrics	LTV dashboards
Ad-spend, ROAS & payback viewsdashboards report the platform's ROAS; Retrics prices every campaign by the lifetime value of the customers it bought	●	●
P&L and margin reporting	—	●
Cohort & retention analyticsboth do this well	●	●
Per-customer scoring, refreshed as orders landsome dashboards estimate per-customer LTV	●	◐
Named lists of who's about to lapse	●	◐
Drafted actions with an approval queue	●	—
Audience handoff to your ESP or CSV	●	◐
Holdout-measured recovered revenueattribution in this category is usually platform-scored	●	—

06Questions

Fair questions, straight answers.

Can Retrics replace my LTV dashboard?: For retention analytics, largely — Retrics ships 13 report pages and 130+ defined metrics, cohorts and RFM included — plus the ad view dashboards can't build: three attribution lenses side by side and LTV:CAC per campaign, priced by what the acquired customers actually did next. What it doesn't do is P&L. If you live in accounting views, keep the dashboard.
Why are your recovered-revenue numbers smaller than a dashboard's ROI figure?: Because Retrics subtracts before it counts. A holdout sets the baseline, and the ~2.7% of lapsed customers who return with no outreach is removed before any dollar is claimed. Self-attributed ROI multiples skip that subtraction.
What does the action queue actually do?: It turns a finding into a decision. When a customer enters her reorder window or drifts past her own cadence, Retrics drafts the outreach — anything in violet was drafted by the AI — and holds it until you approve. Nothing sends without you.
Do I need both?: If acquisition economics is your open question, yes — keep the dashboard for spend and margin, and use Retrics for the customers you've already paid to win.

The chart told you. Now act.

Connect read-only and see your own customer book scored — who's in a window, who's drifting, what the machine would draft first.

Start free 14-day trial

Explore the demo store

No credit card · read-only Shopify scopes · live in ~10 minutes

retrics

compare · ltv dashboards

A chart can't win her back.

Dashboards show you the business. Retrics is built for the moment after the chart — naming who's about to lapse and drafting the save.

Explore the demo store

All comparisons

02Credit first

What dashboards get right.

If your bottleneck is visibility — spend, margin, payback — a dashboard may be exactly the right purchase.

Ad-spend & payback views

Blended ROAS, CAC payback, spend joined to revenue across channels. Retrics doesn't attempt any of this.

P&L clarity

Margin after fees, shipping, and costs, per order and per product. The good dashboards do it well.

Board-ready reporting

Fast setup, clean charts, numbers everyone can align on — the team and your investors looking at the same picture.

03The honest line

Knowing isn't doing.

By the time a cohort curve sags, the customers inside it are already gone.

The report

The chart tells you churn happened.

Retrics keeps the reporting layer too — cohort curves, RFM, forecast. But a retention curve is a record of decisions already missed.

The action

Retrics names her — and drafts the save.

Every row resolves to actual customers, scored every sync on their own cadence. When one drifts past her window, the win-back is already drafted — nothing sends until you approve it.

health, return-probability, and reorder window recomputed as orders land

04Measurement

Two ways to count a dollar.

A criticism of a practice, not a vendor: self-attributed ROI flatters everyone who reports it.

The common practice

Platform-attributed ROI

Count every order that follows a campaign as caused by it — no baseline, no control group. Impressive numbers, unfalsifiable claims.

The Retrics ledger

Holdout-measured revenue

A matched holdout goes uncontacted, the natural-return floor is subtracted, and only the remainder is claimed. Smaller numbers — each survives “would she have come back anyway?”

~2.7%

natural-return floor

the share of lapsed customers who return with no outreach — always subtracted before we claim a dollar

3.2×

second-order window lift

12-month backtest of real Shopify orders, holdout-scored

05Side by side

Reporting versus acting.

The first rows go to the dashboards, because spend and margin are their job.

Retrics compared with an LTV analytics dashboard, job by job
	Retrics	LTV dashboards
Ad-spend, ROAS & payback viewsdashboards report the platform's ROAS; Retrics prices every campaign by the lifetime value of the customers it bought	●	●
P&L and margin reporting	—	●
Cohort & retention analyticsboth do this well	●	●
Per-customer scoring, refreshed as orders landsome dashboards estimate per-customer LTV	●	◐
Named lists of who's about to lapse	●	◐
Drafted actions with an approval queue	●	—
Audience handoff to your ESP or CSV	●	◐
Holdout-measured recovered revenueattribution in this category is usually platform-scored	●	—

06Questions

Fair questions, straight answers.

Can Retrics replace my LTV dashboard?: For retention analytics, largely — Retrics ships 13 report pages and 130+ defined metrics, cohorts and RFM included — plus the ad view dashboards can't build: three attribution lenses side by side and LTV:CAC per campaign, priced by what the acquired customers actually did next. What it doesn't do is P&L. If you live in accounting views, keep the dashboard.
Why are your recovered-revenue numbers smaller than a dashboard's ROI figure?: Because Retrics subtracts before it counts. A holdout sets the baseline, and the ~2.7% of lapsed customers who return with no outreach is removed before any dollar is claimed. Self-attributed ROI multiples skip that subtraction.
What does the action queue actually do?: It turns a finding into a decision. When a customer enters her reorder window or drifts past her own cadence, Retrics drafts the outreach — anything in violet was drafted by the AI — and holds it until you approve. Nothing sends without you.
Do I need both?: If acquisition economics is your open question, yes — keep the dashboard for spend and margin, and use Retrics for the customers you've already paid to win.

The chart told you. Now act.

Connect read-only and see your own customer book scored — who's in a window, who's drifting, what the machine would draft first.

Start free 14-day trial

Explore the demo store

No credit card · read-only Shopify scopes · live in ~10 minutes