Genuinely, maybe. If paid acquisition is your primary growth lever and signal loss into Meta or Google is measurable, a data-activation suite earns its keep before the order ever happens. Retrics starts where that frame ends — at order #1 — and prices what the customers you bought did afterwards. The two don't overlap; they hand off.

Why are your numbers smaller than the uplift ranges this category quotes?

Because they survive a subtraction. An unhedged "25–40% uplift" range has no baseline, no control group, and no way to be wrong. Retrics publishes ~2.7% and 3.2× as backtest figures and marks them as such — and in the product, the recovered-revenue headline stays at zero until the treated-vs-holdout difference clears a 95% confidence interval. Smaller numbers, but each one is falsifiable.

Does Retrics fix my Meta or Google signal quality?

No. Retrics never sends conversion data back to an ad platform. What it does is grade your UTM hygiene — the sales-by-source report shows exactly how much of your order volume carries usable tags, and anything unknown is shown as unknown rather than guessed.

What does Retrics do with ad data, then?

It reads spend and UTM attribution, shows three attribution lenses that are meant to disagree, and prices every campaign by the lifetime value of the customers it actually bought — LTV:CAC per campaign, computed from your own order history rather than a platform's self-graded ROAS.

retrics

compare · attribution suites

The funnel ends. The customer doesn't.

Data-activation suites feed cleaner signals into ad platforms. Retrics prices what the customers they buy do next — and counts it against a holdout.

Explore the demo store

All comparisons

02Credit first

What signal repair gets right.

If your bottleneck is what Meta and Google can see, this category fixes a real problem — before the order ever happens.

Cleaner signals into ad platforms

Server-side conversion feeds — Meta CAPI, Google Enhanced Conversions — recover what browsers and iOS drop, so the ad algorithms optimize on fuller data. Retrics doesn't attempt this.

Identity & CRM enrichment

Stitching leads and customers across forms, CRM, and ad accounts to lift match rates. Real work, genuinely hard, and upstream of anything Retrics does.

Cross-channel attribution reporting

Spend joined across platforms, model comparisons, query layers over the funnel. If your open question is where the next ad dollar goes, this category answers it.

03The honest line

Two sides of the same order.

Everything in the acquisition frame ends at the conversion event. Everything Retrics does begins there.

Before the order

They make the platform smarter about who to buy.

Better signals in, better bidding out. It's real leverage — and it ends the moment the conversion fires, because the ad platform's frame ends there too.

After the order

Retrics tells you whether she was worth buying.

Every acquired customer is scored every sync against her own reorder cadence, every campaign is priced by the lifetime value it actually bought, and the win-back is drafted before the lapse becomes a churn statistic.

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

04Measurement

Two ways to claim an uplift.

A criticism of a practice, not a vendor: a percentage range with no baseline can't be wrong — which means it can't be right either.

The common practice

The unhedged range

“25–40% more ROAS.” Measured by the platform being optimized, quoted without a baseline or a control group, and true of every customer in the deck. Impressive, unfalsifiable.

The Retrics ledger

The gated number

A matched holdout goes uncontacted, the natural-return floor is subtracted, and the headline prints only when the difference clears a 95% confidence interval. Until then it reads zero — on purpose.

~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

Before the order versus after it.

The first rows go to the suites, because signal repair is their job — and not ours.

Retrics compared with an attribution / data-activation suite, job by job
	Retrics	Attribution suites
Server-side conversion feeds (CAPI, Enhanced Conversions)	—	●
Identity enrichment & match-rate repair	—	●
Cross-channel spend & attribution reportingRetrics reads spend and UTM tags for its scorecard; it is not a full attribution suite	◐	●
Campaigns priced by post-purchase lifetime valuethe acquisition frame usually ends at the conversion event; Retrics prices what the customer did next	●	◐
Per-customer lapse prediction & reorder windows	●	—
Drafted win-backs with an approval queue	●	—
Holdout-measured recovered revenue, gated on a confidence intervaluplift claims in this category are usually platform-scored ranges	●	—
Flat pricing, not volume-gatedsuites in this category typically price per lead or event volume	●	—

06Questions

Fair questions, straight answers.

Do I need both?: Genuinely, maybe. If paid acquisition is your primary growth lever and signal loss into Meta or Google is measurable, a data-activation suite earns its keep before the order ever happens. Retrics starts where that frame ends — at order #1 — and prices what the customers you bought did afterwards. The two don't overlap; they hand off.
Why are your numbers smaller than the uplift ranges this category quotes?: Because they survive a subtraction. An unhedged "25–40% uplift" range has no baseline, no control group, and no way to be wrong. Retrics publishes ~2.7% and 3.2× as backtest figures and marks them as such — and in the product, the recovered-revenue headline stays at zero until the treated-vs-holdout difference clears a 95% confidence interval. Smaller numbers, but each one is falsifiable.
Does Retrics fix my Meta or Google signal quality?: No. Retrics never sends conversion data back to an ad platform. What it does is grade your UTM hygiene — the sales-by-source report shows exactly how much of your order volume carries usable tags, and anything unknown is shown as unknown rather than guessed.
What does Retrics do with ad data, then?: It reads spend and UTM attribution, shows three attribution lenses that are meant to disagree, and prices every campaign by the lifetime value of the customers it actually bought — LTV:CAC per campaign, computed from your own order history rather than a platform's self-graded ROAS.

You paid to acquire them. Price what they did next.

Connect read-only and see every campaign graded by the lifetime value of the customers it bought — then who's drifting, and 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 · attribution suites

The funnel ends. The customer doesn't.

Data-activation suites feed cleaner signals into ad platforms. Retrics prices what the customers they buy do next — and counts it against a holdout.

Explore the demo store

All comparisons

02Credit first

What signal repair gets right.

If your bottleneck is what Meta and Google can see, this category fixes a real problem — before the order ever happens.

Cleaner signals into ad platforms

Server-side conversion feeds — Meta CAPI, Google Enhanced Conversions — recover what browsers and iOS drop, so the ad algorithms optimize on fuller data. Retrics doesn't attempt this.

Identity & CRM enrichment

Stitching leads and customers across forms, CRM, and ad accounts to lift match rates. Real work, genuinely hard, and upstream of anything Retrics does.

Cross-channel attribution reporting

Spend joined across platforms, model comparisons, query layers over the funnel. If your open question is where the next ad dollar goes, this category answers it.

03The honest line

Two sides of the same order.

Everything in the acquisition frame ends at the conversion event. Everything Retrics does begins there.

Before the order

They make the platform smarter about who to buy.

Better signals in, better bidding out. It's real leverage — and it ends the moment the conversion fires, because the ad platform's frame ends there too.

After the order

Retrics tells you whether she was worth buying.

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

04Measurement

Two ways to claim an uplift.

A criticism of a practice, not a vendor: a percentage range with no baseline can't be wrong — which means it can't be right either.

The common practice

The unhedged range

“25–40% more ROAS.” Measured by the platform being optimized, quoted without a baseline or a control group, and true of every customer in the deck. Impressive, unfalsifiable.

The Retrics ledger

The gated number

A matched holdout goes uncontacted, the natural-return floor is subtracted, and the headline prints only when the difference clears a 95% confidence interval. Until then it reads zero — on purpose.

~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

Before the order versus after it.

The first rows go to the suites, because signal repair is their job — and not ours.

Retrics compared with an attribution / data-activation suite, job by job
	Retrics	Attribution suites
Server-side conversion feeds (CAPI, Enhanced Conversions)	—	●
Identity enrichment & match-rate repair	—	●
Cross-channel spend & attribution reportingRetrics reads spend and UTM tags for its scorecard; it is not a full attribution suite	◐	●
Campaigns priced by post-purchase lifetime valuethe acquisition frame usually ends at the conversion event; Retrics prices what the customer did next	●	◐
Per-customer lapse prediction & reorder windows	●	—
Drafted win-backs with an approval queue	●	—
Holdout-measured recovered revenue, gated on a confidence intervaluplift claims in this category are usually platform-scored ranges	●	—
Flat pricing, not volume-gatedsuites in this category typically price per lead or event volume	●	—

06Questions

Fair questions, straight answers.

Do I need both?: Genuinely, maybe. If paid acquisition is your primary growth lever and signal loss into Meta or Google is measurable, a data-activation suite earns its keep before the order ever happens. Retrics starts where that frame ends — at order #1 — and prices what the customers you bought did afterwards. The two don't overlap; they hand off.
Why are your numbers smaller than the uplift ranges this category quotes?: Because they survive a subtraction. An unhedged "25–40% uplift" range has no baseline, no control group, and no way to be wrong. Retrics publishes ~2.7% and 3.2× as backtest figures and marks them as such — and in the product, the recovered-revenue headline stays at zero until the treated-vs-holdout difference clears a 95% confidence interval. Smaller numbers, but each one is falsifiable.
Does Retrics fix my Meta or Google signal quality?: No. Retrics never sends conversion data back to an ad platform. What it does is grade your UTM hygiene — the sales-by-source report shows exactly how much of your order volume carries usable tags, and anything unknown is shown as unknown rather than guessed.
What does Retrics do with ad data, then?: It reads spend and UTM attribution, shows three attribution lenses that are meant to disagree, and prices every campaign by the lifetime value of the customers it actually bought — LTV:CAC per campaign, computed from your own order history rather than a platform's self-graded ROAS.

You paid to acquire them. Price what they did next.

Connect read-only and see every campaign graded by the lifetime value of the customers it bought — then who's drifting, and 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