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Amazon Ads × Subscriptions · Conversion tracking

How to reconcile Amazon Ads against your billing system

This is the check we run first on every account, written out so you can run it without us. It takes about thirty minutes and needs two numbers: what Amazon Ads says it produced, and what your billing system actually shows. The gap between them is the only honest measure of whether your tracking works — and if it comes back small, you do not need us.

✓ 30-minute call · No commitment · You leave with a written remediation plan even if we’re not the right fit.

Built in 2–4 daysOne-time fee95% accuracy guaranteed400-day cookie lifetime1st-party server-side

Written guarantee

95%+ conversion accuracy on Amazon Ads × Subscriptions

Measured against your own order records at handover. Miss it and we keep working at no cost until it’s met.

Built on — and certified for — the platforms that matter

Stape

Pro Partner

Meta

Tech Provider

Google

Tag Manager

TikTok

Events API

Microsoft

UET Partner

LinkedIn

CAPI Partner

Pinterest

CAPI Partner

Built on the same partner stack used by enterprise DTC brands.

Ariful Islam — Founder, Tracking Consulting

Meet your consultant

Ariful Islam

Founder · 8+ years in paid media & tracking

Verified earnings

$200K+

earned on Upwork

Top Rated Plus
4.9/5 on Upwork · 300+

Verify the receipts

You work directly with Arif — no SDR, no account manager.

By the numbers

No fake testimonials.Just the math.

70+

Platforms supported

Shopify · Woo · Magento · BigCommerce · 65 more

8+ / 10

Meta EMQ guaranteed

in writing — keep working free until hit

2–4d

Build to live

accurate data flowing within 7 days

$0

Monthly fees, ever

one-time fixed price · you own the stack

400d

Cookie lifetime

max RFC 6265bis allows · 57× Safari ITP

9

Ad channels covered

Meta · Google · TikTok · MS · LI · Pin · Snap · Reddit · X

95%+

Tracking accuracy

verified vs Stripe · GA4 · ad-platform reports

30 min

Free founder call

no SDR · no pitch deck · written remediation plan

Every figure above is either a commitment we put in writing or a countable fact. What your own setup is losing is not on this list, because we haven’t measured it yet — that happens on the call, against your own order records.

Real clients · real videos · real outcomes

Don’t take our word for it. Watch the receipts.

Founders, marketers, and agency owners describing the before-and-after of their Amazon Ads × Subscriptions tracking rebuild — in their own words, on camera.

The problem

Why Amazon Ads and your billing system disagree

Amazon Ads × Subscriptions-specific issues
Leak #01

Every renewal firing as a conversion

The single most common subscription error. A customer who stays two years produces twenty-four payment events, and counting them all inflates the conversion count by exactly your retention rate.

Leak #02

Trial starts counted as paid conversions

A free trial costs the user nothing. Optimising toward trials reliably finds people who start trials and never pay.

Leak #03

Cancellations inside the first period never reversed

Early churn on discounted offers is high, and the reversal is almost never wired.

Leak #04

Lifetime value assumed rather than measured

An industry figure for tenure will either starve a channel that works or overfund one that does not. Your own churn data says something different.

Architecture

What each side is actually counting

The gap is usually not a bug. It is two systems answering two different questions, and the first job is knowing which question each one answered.

  1. Step 1

    What Amazon Ads counts

    For off-Amazon conversions: an event, a timestamp, a value and the click identifier. For on-Amazon conversions: nothing, because the measurement is not yours to do.

  2. Step 2

    How Amazon Ads attributes it

    This is the important thing and most guidance skips it: Amazon Ads spans two very different situations. Sponsored ad formats driving to an Amazon listing produce conversions Amazon measures itself, with no click identifier passed to you and no per-order join available. Amazon DSP driving to your own site is a different case, where a click identifier can reach your landing page and be captured like any other network's.

  3. Step 3

    The window it uses

    Amazon's attribution windows differ by ad product and by whether the conversion happens on Amazon or on your site. Establish which product and which destination you are reporting on before comparing any figure.

  4. Step 4

    What your billing system counts

    First successful payments on new subscriptions, found in Stripe, Chargebee, Recurly, Paddle or whatever charges the card.

  5. Step 5

    The filter that makes them comparable

    New subscriptions only — exclude renewals, and exclude trials that have not yet converted.

Events and parameters

Reading the gap

The size and direction together narrow the cause faster than any amount of tag debugging.

What you seeWhat it usually means
Under 5% either wayWorking. There is nothing here worth buying — say so and stop.
5–15% platform higherUsually reversals: refunds, cancellations or no-shows never subtracted.
15%+ platform higherUsually the wrong event entirely — the platform is counting renewals, trials, or subscriptions that cancelled before the first real charge.
5–20% platform lowerUsually consent, ad blocking, or an identifier lost in a handoff.
20%+ platform lowerUsually structural — the platform is missing subscriptions it produced — usually a signup-to-payment gap longer than the attribution window.

Diagnostic sequence

Diagnostic order

Work down this list. Each step rules out a class of cause, so by the last one there is usually a single explanation standing.

  1. 1

    Confirm both numbers cover the same period and channel

    More reconciliations fail here than anywhere else. A platform figure including a channel your export filtered out will look like a tracking fault forever.

  2. 2

    Every renewal firing as a conversion

    The single most common subscription error. A customer who stays two years produces twenty-four payment events, and counting them all inflates the conversion count by exactly your retention rate.

  3. 3

    Trial starts counted as paid conversions

    A free trial costs the user nothing. Optimising toward trials reliably finds people who start trials and never pay.

  4. 4

    Cancellations inside the first period never reversed

    Early churn on discounted offers is high, and the reversal is almost never wired.

  5. 5

    Read Amazon's own attribution reporting for on-Amazon sales, and your normal reconciliation for off-Amazon conversions

    The structural limit is worth stating plainly to anyone selling you on this: for sales that complete inside Amazon, per-order click attribution does not exist and cannot be built. Amazon Attribution gives aggregated, delayed reporting. Anyone offering per-order joins on Amazon-completed sales is describing something that is not available.

Source-of-truth validation

How to know you did it right

A reconciliation you cannot repeat next month is an anecdote.

Source of truthyour billing system — new subscriptions for a fully closed month
  • Both figures filtered to the same period, the same channel and the same definition.
  • Matched per record where Amazon Ads exposes an identifier, not on summed totals.
  • The unmeasurable share named as a number rather than excluded silently.
  • The same pull repeated a month later, to confirm the gap is stable rather than seasonal.

Straight talk

When the answer is that you do not need us

This happens regularly and it is the most useful outcome the exercise can produce.

  • If the gap is under about five percent, Amazon Ads is reporting your business accurately and there is nothing here worth paying anyone to fix.
  • If the gap is entirely explained by a channel you can simply filter out, that is a reporting change you can make yourself this afternoon.
  • If almost all of your new subscriptions come from a channel with no click behind it, no tracking work will reach them — and knowing that is worth more than a build.
  • If all your Amazon Ads spend drives to Amazon listings, there is no conversion tracking build here — only a reporting exercise inside Amazon's own tools, and it is worth knowing that before commissioning anything.

Who this is for

Honest about who we’re a fit for.

We don’t take every project. Here’s how to tell if we’re right for you.

Good fit

You’re a great fit if…

  • You run Amazon Ads × Subscriptions (or are migrating to it)
  • You spend $5K+/month on paid ads (Meta, Google, TikTok, Microsoft, LinkedIn)
  • Your reported ROAS doesn’t match what your bank account is saying
  • You want to own your tracking stack — no monthly SaaS fees forever
  • You have 2–4 days to do this once and never think about it again
Not a fit

Skip us if…

  • You spend less than $500/month on paid ads (browser pixel is fine)
  • You want a SaaS dashboard with monthly fees forever (Triple Whale, Hyros)
  • You need attribution modeling — we fix the data foundation, not multi-touch reports
  • You want a 6-month enterprise consulting engagement (we ship in 4 days)
  • You expect us to manage your ad accounts (we don’t — that’s a different service)

If you’re still unsure,book the call anyway— we’ll tell you straight whether we can help.

Our position

If yourreported ROASdisagrees with your bank account, you don’t have an attribution problem.You have a data foundation problem.No SaaS dashboard fixes that — only a rebuilt 1st-party server-side stack does.

Ariful Islam — Founder
The outcome

What you get from this

A number instead of a suspicion

Server-side

You will know within thirty minutes whether Amazon Ads is over- or under-reporting, and by how much.

The likely cause, narrowed

8+ EMQ

The direction of the gap rules out half the possible causes immediately, and the diagnostic order below rules out most of the rest.

A basis for deciding

Deduped

A gap under about five percent is working. Above twenty, the reporting is deciding your budget on a number that is wrong.

The full transformation report

Before vs after — built in 2–4 days, accurate data within 7 days

This is what changes structurally, not a promise about your numbers. The figures specific to your account come from the reconciliation we run against your own order records before the build and again after — the two commitments below are the ones we put in writing.

Attribution accuracy

  • Reported conversions vs your order records
    BeforeWhatever today's reconciliation shows — most have never run one
    After95%+ match, guaranteed in writing
  • Where the purchase event comes from
    BeforeThe browser, if it survives the redirect
    AfterYour backend order record
  • Click IDs across redirects and domains
    BeforeCommonly dropped at the first hop
    AfterCaptured at first touch, persisted first-party
  • Server-attributed conversions
    BeforeNone — browser only
    AfterEvery order, sent server-side

Audience quality

  • Meta Event Match Quality
    BeforeWhatever Events Manager shows you today
    After8+ / 10, guaranteed in writing
  • Cookie lifetime in Safari
    Before7 days — ITP's cap on JavaScript-set cookies
    AfterUp to 400 days — the RFC 6265bis maximum
  • Identity sent with a purchase
    BeforeWhatever the browser happened to hold
    AfterEmail, phone, name, city, state, zip, external ID — hashed
  • Lookalike and retargeting seeds
    BeforeBuilt from the conversions that survived
    AfterBuilt from every order in your backend

Bidding performance

  • What bidding optimizes toward
    BeforeThe events that happened not to be blocked
    AfterEvery conversion, including offline outcomes
  • Conversion value
    BeforeOften missing, or a total that doesn't match your revenue
    AfterThe amount actually charged, with currency
  • Refunds and cancellations
    BeforeNever reported back, so ROAS stays inflated
    AfterReversed at every destination
  • Duplicate conversions
    BeforeUndetectable without an order ID
    AfterDeduplicated on a shared event ID

Compliance & ownership

  • Consent behavior under audit
    BeforeUntested — tags commonly fire before consent is set
    AfterVerified: nothing leaves before consent
  • Consent Mode v2 wiring
    BeforeNot configured
    AfterFully wired + verified
  • 3rd-party cookie deprecation ready
    BeforeNo
    AfterYes
  • Data ownership
    BeforeVendor-locked
    After100% yours

Server-side

money events from your backend

8+ / 10

Meta EMQ guaranteed

95%+

tracking accuracy

A typical engagement

The shape of a typical Amazon Ads × Subscriptions rebuild

We’re not going to invent a fake testimonial here. Instead — here’s the realistic pattern of what happens, anonymized but accurate to engagements we ship.

Day 0 — They arrive

A 7-figure Amazon Ads × Subscriptions store spending ~$25K/month on Meta. Reported ROAS shows 4.1× in Ads Manager. Their bookkeeper’s number says 2.6×. The founder doesn’t know which is real, so they keep doubling down on what looks like a winning campaign — except cash flow tells a different story.

Day 1 — Audit

We screen-share. Within 20 minutes we’ve found the leaks: native pixel firing twice on iOS, CAPI dedup using the wrong event_id (Meta is double-counting), GA4 showing 38% (not set), and the Customer Events API never enabled. The 1.5× ROAS gap explains itself.

Day 2–3 — Build

Server-side GTM container goes live on data.theirstore.com. Meta CAPI rebuilt with full advanced matching. Google Enhanced Conversions wired. TikTok Events API turned on. All event_ids deterministic. iOS recovered.

Day 4 — Launch

Live-fire test purchases through every funnel step. Meta Event Match Quality goes from 4.5 to 8.7 — verified live in Events Manager. They get a Notion runbook + Loom walkthrough so their dev team can extend it.

Day 5–7 — Accuracy

Conversion data starts flowing cleanly. Day 7: reported ROAS reads 2.8× (matches Stripe within 5%). Lookalike audiences grow because Meta finally has clean seed data. Their CAC dashboard makes sense for the first time in a year.

Day 30 — The math compounds

Smart Bidding has 30 days of clean signal. CPA drops 18%. They scale Meta budget 40% because they finally trust the data. Net new revenue from the recovered tracking: roughly $14K/mo above what they were getting before.

Numbers above are realistic averages from engagements we’ve shipped. Your specific recovery depends on your iOS share, ad-blocker rate, and current setup — we’ll quantify it on the call.

The cookie window unlock

400-day cookie lifetime — the longest your browser allows

Default Amazon Ads × Subscriptions setups put cookies on a 7–30 day timer. Safari ITP caps client-set cookies at 7 days. That kills your retargeting windows, shrinks lookalike audiences, and starves Smart Bidding of historical signal.

We set 1st-party cookies via HTTP headers on your own subdomain — exempt from ITP’s 7-day cap. Lifetime: 400 days. The maximum Chrome, Firefox and Safari currently permit.

  • 57× longer retargeting window vs Safari default

    Reach users who saw your ad 6 months ago instead of last week.

  • Bigger lookalike seed pools

    More retained users in your custom audience = better lookalike quality on Meta, Google, TikTok.

  • Smart Bidding has 13× more signal history

    Algorithms optimize on 400 days of behavior, not 7 days. CPA stabilizes faster.

  • Critical for high-AOV / long-consideration purchases

    If your average buyer takes 30+ days to convert, default cookies miss them. 400-day cookies don’t.

Cookie lifetime — head to head

How long cookies survive in real-world traffic

Safari ITP (default)7 days
Chrome / Firefox (typical)30 days
Meta default retargeting window90 days
Google Ads default cookie540 days(but capped by browser)
Our 1st-party server-side400 days

400 days is the hard maximum enforced by RFC 6265bis (Chrome 104+, Safari 17+, Firefox 110+). We set it via HTTP Set-Cookie: Max-Age=34560000 on your subdomain. Survives Safari ITP’s 7-day client-side cap.

Under the hood

What’s actually happening on your server-side stack

Six capabilities your default Amazon Ads × Subscriptions setup doesn’t have. Built on the same Stape Pro stack used by enterprise DTC brands.

Cookie window

Cookie Keeper

400-day 1st-party cookies

Set via HTTP headers on your subdomain — the maximum browsers allow. Survives Safari ITP’s 7-day cap that kills retargeting.

Ad-block resistance

Custom Loader

Custom-loaded GTM scripts

Your gtm.js and analytics scripts load through a custom path on YOUR domain. uBlock, AdBlock Plus, Brave can’t identify them as trackers.

Attribution

Click ID Restorer

Click ID restoration

fbclid / gclid / ttclid / wbraid recovered from the URL and persisted server-side. Multi-redirect funnels stop dropping attribution. Safari user IDs restored.

Profit signal

POAS Data Feed

POAS — Profit on Ad Spend

Send actual profit data (not revenue) to Meta / Google. Smart Bidding optimizes for the metric that matters: net margin, not gross revenue.

Identity

User ID

Cross-session User ID

Stable userID generated server-side from IP + UA + SSL fingerprint. Stitches anonymous → known → returning visitors across 400 days.

Audience signal

GEO Headers

GeoIP enrichment

Country, region, city, postal code passed to Meta / Google CAPI from your server — without exposing the raw user IP to the browser.

Compliance

Anonymizer

PII hashing by default

Email, phone, name, address are SHA-256 hashed on your server before they leave for Meta or Google. Zero raw PII in transit.

Quality filtering

Bot Detection

Bot traffic detection

Bot/scraper traffic identified at the gateway and blocked from polluting your audiences. Smart Bidding optimizes against humans, not bots.

Reliability

Dedup logic

Browser ↔ server dedup

Deterministic event_id and event_time so Meta / Google never double-count. Your reported ROAS stops contradicting Stripe.

Reputation

Dedicated IP

Dedicated outbound IP

Your sGTM gets a dedicated static IP for outgoing CAPI requests. Better deliverability to Meta, Google, TikTok — no shared-IP noise.

Residency

Multi-region

EU / US region routing

GDPR-conscious stores route their CAPI traffic through EU regions (Stape EU or self-hosted GCR europe-west). No US data hop.

Data warehouse

BigQuery export

BigQuery + Looker dashboard

Server logs + GA4 raw events streamed to BigQuery. Looker Studio dashboard branded for your team. Premium tier.

We’re official Stape Pro partners — every Power-Up above is enabled and configured for you. Or we self-host the equivalent on your Cloud Run / GKE if your traffic justifies the cost crossover. You pick.

Live data flow

What your stack is doing —right now

Every conversion fires through your subdomain, gets enriched with hashed identity params, deduped against the browser pixel, then forwarded to Meta CAPI, Google EC, TikTok Events API and Microsoft UET in parallel.

You see this stream live in your sGTM debug console — not a SaaS dashboard you rent. It’s your data, on your server, on your subdomain.

  • p99 latency< 80ms
  • Avg. event payload9 identity params
  • Browser → Server dedupDeterministic event_id
  • Failure handlingRetry · queue · dead-letter
sgtm-debug · data.reconcile.com
streaming
10:42:18[INFO]evt=PageView | id=ev_a3f2.. | ua=ios17 | ip_hash=ok
10:42:18[OK]→ meta.capi status=200 emq_pred=8.6
10:42:18[OK]→ google.ec status=200 match=enhanced
10:42:24[INFO]evt=AddToCart | id=ev_b1c8.. | val=$84.00
10:42:24[DEDUP]browser↔server merged on event_id=b1c8..
10:42:24[OK]→ meta.capi status=200 emq_pred=8.7
10:42:24[OK]→ tiktok.eventsapi status=200
10:42:31[INFO]evt=Purchase | id=ev_c9d4.. | val=$184.00
10:42:31[POAS]profit=$58.42 sent (margin 31.7%)
10:42:31[OK]→ meta.capi status=200 emq=8.8 ✓
10:42:31[OK]→ google.ec status=200 ✓
10:42:31[OK]→ microsoft.uet status=200 ✓
10:42:33[BOT]blocked: ua=AhrefsBot · 1 evt suppressed
uptime: 99.98%all channels healthy
Every paid-media channel · 1st-party server-side

CAPI / Events API ready for every ad platform you run

One server-side gateway. Every major ad platform fed real conversion data, deduped, with full identity match.

Meta

Conversions API

Server-side

Google

Enhanced Conv.

Server-side

TikTok

Events API

Server-side

Microsoft

UET Server

Server-side

LinkedIn

CAPI

Server-side

Pinterest

CAPI

Server-side

Snapchat

CAPI

Server-side

Reddit

CAPI

Server-side

X / Twitter

Events API

Server-side
What you get

The method, step by step

Item 01

Pull what Amazon Ads reports

Amazon's own attribution reporting for on-amazon sales, and your normal reconciliation for off-amazon conversions. Use a fully closed month so late conversions have already landed, and read the conversion action you actually optimise toward rather than the total.

Item 02

Pull what your billing system shows

Export subscriptions by creation date for a closed month, filtered to those that took a first successful payment, and record the plan value.

Item 03

Filter both to the same thing

This is where most reconciliations go wrong. New subscriptions only — exclude renewals, and exclude trials that have not yet converted. Both numbers must describe the same period, the same channel and the same definition of a conversion.

Item 04

Compare per record, not on totals

Two totals can match while every individual record is wrong. Match on order, deal or appointment identifiers wherever the platform exposes them.

The honest math

Three ways to fix your tracking. One of them makes sense.

Option 1

Hire a senior tracking engineer

$15K–$25Kin dev cost

or 2–4 weeks of senior FTE time

  • 2–4 weeks before anything ships
  • Misses iOS / Safari / dedup edge cases
  • No EMQ guarantee — it’s “done” when they say so
  • Pixel debugging is not their day job

Option 2

Triple Whale / Hyros / Northbeam

$300–$2,000/month forever

$18K–$120K over 5 years

  • You rent a dashboard — they own your data
  • Cancel and you lose attribution overnight
  • Per-event / per-visitor pricing surprises
  • Still doesn’t fix your underlying tracking
Recommended

Option 3 — us

Done-for-you 1st-party server-side

$400–$1,800one-time

pay once · own the stack forever

  • Live in 2–4 days · accurate data within 7
  • iOS / Safari / dedup all handled by default
  • Meta EMQ 8+ guaranteed in writing
  • You own everything — server, container, runbook

We’re upfront: if you have a senior in-house dev with capacity and 4 weeks, hiring is fine. If you spend $1M+/yr on ads and want a SaaS dashboard layered on top, Triple Whale works. For most paid-ad advertisers between, we’re the math that makes sense.

Pricing

Pick the package that fits your ad spend

Fixed-fee, no surprises. If your ad spend is meaningful,server-side tracking is what we recommend— it’s the only setup that survives iOS, Safari ITP and ad blockers.

Tier 01

Browser-side starter

$400One-time fee · lifetime ownership

Repairs and verifies the browser-side half on your account, once you know from the reconciliation what is actually wrong.

  • Capture and firing fixed at the source
  • Verified on a live conversion
  • Reconciled against your own records
  • Written handover
Fix what I have
Tier 02
Recommended

1st-party server-side

$800One-time fee · most popular

Save $18K–$120K over 5 years vs Triple Whale / Hyros

The whole chain: identifier captured and persisted, the money event sent from your own records, deduplicated at the destination.

  • First-party server container on your own subdomain
  • Money events sent from your records, not a page
  • Identifier persisted where a cookie cannot survive
  • Deduplicated the way the platform expects
  • Re-reconciled after 30 days to prove it held
Close the gap properly
Tier 03

Full 1st-party stack

$1,800One-time fee · lifetime ownership

Every paid channel reconciled and wired the same way, plus reversals and monitoring so a gap reopening surfaces in days.

  • Everything in 1st-party server-side
  • Every ad platform, one container
  • Reversals on refunds and cancellations
  • Monitoring so a break surfaces in days
  • One reconciliation across all destinations
Get the full stack

Not sure which tier fits?Book a 30-min scoping call— we’ll tell you straight, no upsell pressure.

From the founder’s desk
Ariful Islam — Founder
Available now

Ariful Islam

Founder & lead engineer

  • Experience8+ years in tracking
  • Engagements300+ DTC brands shipped
  • Specialty1st-party sGTM · CAPI
  • PartnerStape Pro · Meta Tech

“I’ll personally walk through your tracking on the call.No SDR.No sales pitch.”

I’ve spent 8 years rebuilding tracking for DTC brands, SaaS founders, agencies, and one thing I’ve learned: most tracking problems aren’t technical — they’re trust problems. You don’t know who to believe. Your current vendor swears it’s fine. Meta’s reports look great. Stripe says otherwise.

On our call, I’ll personally show you exactly what’s leaking, exactly what it would cost to recover, and whether you should hire us at all. If your current setup is genuinely fine, I’ll tell you. If a $400 browser-side fix is enough, I’ll say so. No upsell pressure.

Book the call. Worst case, you walk away with a free 47-point audit checklist. Best case, we deliver your 1st-party server-side stack in 2–4 days and your data is fully accurate within 7 days.

Arif— Founder

How it works

Built in 2–4 days. Accurate data within 7.

We deliver the entire 1st-party server-side stack in 2–4 business days. You start collecting accurate, deduped conversion data the moment it goes live — and within 7 days every signal is flowing cleanly to Meta, Google, TikTok and the rest.

1Day 1

Kickoff + audit

30-min call. We map your current pixels, GTM, dataLayer, consent setup, and ad-platform integrations. You get a written report of every leak.

2Day 2–3

Build the stack

Server-side GTM container deployed on your subdomain. Meta CAPI · Google EC · TikTok Events API · Microsoft UET wired. Identity match + dedup configured.

3Day 4

QA + go-live

Live-fire test purchases across every funnel step. Meta EMQ verified at 8+. Tag Assistant + Pixel Helper passes. Side-by-side report delivered.

4Day 5–7

Verify accuracy

Your data flows clean. Within 7 days every signal — Meta, Google, TikTok, Microsoft — is fully accurate. Notion runbook + Loom walkthrough handoff.

Got questions?

The honestanswers.

No buzzwords, no upsell. If we don’t know, we say so.

01Why would I do this myself instead of asking you?

Because you should know the size of the problem before anyone quotes you for it. If the gap is small, you have saved yourself a purchase. If it is large, you now know what you are buying rather than taking our word for it.

02Do I need to send you any data?

No. Both numbers come from systems you already own and neither leaves them. There is no tool to sign up for and nothing to upload.

03What if Amazon Ads does not expose an identifier I can match on?

Then compare totals for a closed period and treat the result as directional rather than exact. Amazon's own attribution reporting for on-amazon sales, and your normal reconciliation for off-amazon conversions is still the right place to read the platform's side.

04What size of gap is normal?

Under five percent is working. Five to fifteen usually means reversals are missing. Above twenty is normally the wrong event being counted, not a broken tag — which is why debugging tags first wastes so much time.

05What if the two numbers cover different things?

Then fix the filter before drawing any conclusion. New subscriptions only — exclude renewals, and exclude trials that have not yet converted. A mismatch in scope produces a gap that looks like a tracking fault and is not one.

06What happens if I find a big gap?

Book the free thirty-minute call and bring both numbers. We will tell you which of the causes above it is, and whether it is something you can fix yourself — which it sometimes is.

Still have questions?Book a 30-min call— bring them all.

The call

What happens on your free 30-min call

No pitch deck, no SDR, no upsell pressure. Founder-led. Bring your ad-platform screens and yourAmazon Ads × Subscriptions setup — we’ll work through it together.

Min 1–5

We get the lay of your store

What you sell, what you spend on ads, who handles dev. Quick context-gathering — no questionnaire upfront.

Min 5–15

We audit your tracking live

Screen-share. We open your Meta Events Manager, GTM, and ad reports. You see exactly which conversions are leaking.

Min 15–25

We map a fix

What needs rebuilding, what stays. The exact Amazon Ads × Subscriptions setup we'd ship and what it would recover for you.

Min 25–30

Decide. Or don’t.

If we're a fit, we send a 1-page proposal in writing. If not, you walk away with a free remediation plan you can hand to anyone.

No pitch deckFounder-led, not SDRYou leave with a written planZero commitment
Free · 30 minutes · No commitment

Found a gap between Amazon Ads and your billing system?

Bring both numbers to a free 30-minute call. We will name the cause and tell you whether it needs us — including when it does not, which happens more often than you would expect.

Free · 30-min consultation · No commitment · Replies in under 2 hours · Available worldwide via WhatsApp

95% guarantee · from $400