Autonomous Revenue Assurance for agencies

Know when a client’s revenue journey breaks — before they do.

Safeliant runs repeatable browser journeys across your clients’ storefronts, captures the evidence, and shows your agency exactly what failed and where.

No account, no card, no meeting. One client URL is enough to start.

Revenue journey — demo-store-a.example

Example data
  • Home
    PASS
  • Product
    PASS
  • Add to cart
    PASS
  • Cart
    PASS
  • Checkout entry
    PASS
  • Completed purchase
    NOT TESTED

14

findings

3

priority to act on

0

critical

Purchase measurement — value and currency

events_missing_value_or_currency

OPEN
  • Real-browser journeys
  • Evidence per finding
  • Deterministic rules

Built around the stack your clients already use

  • Google Analytics 4
  • Google Tag Manager
  • Meta Pixel
  • Consent managers
  • Shopify
  • Google AdsPartial coverage
  • WooCommercePartial coverage

Partial coverage means the checks run but the full journey is not yet guaranteed. See exactly what runs on each.

The problem

Revenue journeys fail silently.

Nothing errors. No alert fires. The storefront looks fine. The numbers simply drift, and by the time someone notices, nobody can say when it started or what changed.

Your agency is accountable for those numbers across every client account — usually without a way to check them all, repeatedly, without doing it by hand.

  • A theme update ships and add_to_cart stops firing
  • A tag change leaves ecommerce events without value or currency
  • Consent settings change and tags fire before the visitor chooses
  • A second GTM container appears and events start double-counting
  • The cart accepts a product and then loads empty
  • Meta stops recording funnel steps GA4 still sees

The evidence model

Not another dashboard full of warnings.

A warning says something looks wrong. A finding says what was done, what came back, what the rule required, and shows you the artefact. Every Safeliant finding has all four, which is what makes it safe to forward to a client.

Tested
What Safeliant actually did, step by step.
Observed
What the real browser and network evidence showed.
Expected
What the deterministic rule required.
Evidence
The captured artefact — request, payload, journey step, screenshot.

Finding — demo-store-a.example

Example data

Ecommerce events missing value or currency

events_missing_value_or_currency

high
Tested
Walked the storefront in one persistent browser session: homepage → product page → add to cart → cart → checkout entry, accepting the consent banner first, recording every analytics beacon, dataLayer push, console error and network failure per step. The journey stops at checkout entry and never submits an order.
Observed
1 of 2 ecommerce event(s) recorded during the journey were sent without a value and/or a currency parameter.
Expected
Every revenue-bearing ecommerce event should carry both value and currency.

Evidence

  • analytics_event · view_item params as sent

    {"tid":"G-AAAA111111","en":"view_item","item_name":"Akku-Bohrhammer 18V"}

Finding — demo-store-a.example

Example data

No begin_checkout event at checkout entry

missing_begin_checkout_event

high
Tested
Walked the storefront in one persistent browser session through to checkout entry, recording every analytics beacon and dataLayer push per step.
Observed
Checkout entry loaded successfully, and across that step no GA4 begin_checkout beacon and no begin_checkout dataLayer push were observed. Events seen on this step: [].
Expected
A GA4 begin_checkout event should fire when checkout is entered.

Evidence

  • url · checkout step

    https://demo-store-a.example/checkout

  • analytics_event · events seen on this step

    []

Both findings above are from a real Revenue Guard run against a reference storefront. Client identifiers are replaced with demo names; the tested, observed, expected and evidence values are the run’s own.

How it works

Execute, detect, prove, retest.

One deterministic chain. Every finding on every report traces back through it — which is exactly why a finding can be handed to a client without hedging it.

  1. 01

    Execute

    A real browser walks the client's revenue journey — home, product, add to cart, cart, checkout entry — in one persistent session, across the reject and accept consent paths.

  2. 02

    Detect

    A versioned rule-pack compares the captured evidence against what it expected. The same evidence through the same rules gives the same verdict every time — no model, no inference, and nothing that changes its mind between runs.

  3. 03

    Prove

    Each finding carries what was tested, what was observed, what was expected, and the captured artefact — screenshots, request URLs and decoded event payloads.

  4. 04

    Retest

    The next run compares against the last known state, so an issue is resolved only by a run that could actually assess the store, and a fix that fails later is reported as a regression.

Recurring checks run from the schedule Safeliant generates for your existing CI, cron or server environment.

Issue lifecycle

A one-time audit tells you what is broken today.

Revenue assurance has to tell you whether it stayed fixed. Safeliant tracks every issue across runs by identity, so the second month is worth more than the first.

  1. OPEN

    Found, with the evidence attached

    A run records the issue against the client, stamps when it was first seen, and keeps what was captured at that moment.

  2. FIXED

    Confirmed gone by a later run

    A run that could actually assess the store, and no longer finds the issue, resolves it. A run that was blocked resolves nothing — a store never becomes healthy because a check could not reach it.

  3. REGRESSED

    It came back

    An issue recorded as fixed and then observed again is reported as a regression, with the date the earlier fix was recorded. That is a different conversation with a client than a first-time finding.

Across the portfolio

One view across every client revenue journey.

One agency, many client sites, one assurance layer. A portfolio run scans every client store, ranks them by what needs attention, and surfaces the issues several clients share — so your team starts the week knowing where to look.

A store that refuses the scanner is shown as unassessed. It is never counted as healthy — silence is not a pass.

Reference portfolio — 2 client accounts

Example data
  • demo-store-a.exampleOPEN

    Checkout · 14 findings

  • demo-store-b.exampleOPEN

    Checkout · 1 finding

Protect client trust

Find the breakage on a run you start yourself, with the evidence attached, instead of hearing about it from a client whose numbers moved.

Stop re-checking by hand

The checks your team runs manually after every deploy and every tag change run as a repeatable journey, and only what changed is surfaced.

Productise revenue assurance

Repeatable, evidence-backed checks — run from your own CI, cron or server — are something you can package into a client offering. The report is agency-branded and safe to forward.

Why the findings can be trusted

The method is the proof.

Every finding is traceable to what was tested, what the browser observed, what the rule expected, and the evidence captured along the way. That chain is what makes a finding safe to put in front of a client.

Deterministic evaluation

Evidence is captured first, then judged. The same captured evidence evaluated by the same versioned rule-pack produces the same verdict — no model, no inference, and a finding you can re-derive months later from what was stored.

Controlled browser journeys

Every check is a real browser session against public storefront pages. No code is installed on the client site and no persistent storefront changes are made; the browser interacts with the storefront only as far as the test journey requires.

The journey stops at checkout entry

By design. No payment details are entered and no order is ever placed, so a run can be pointed at a live store without touching real revenue — and the completed-purchase step, which we therefore cannot verify, is listed as not tested rather than quietly implied.

A blocked check is never a pass

A storefront that refuses the scanner is recorded as unassessed. It is never counted as healthy and never reported as broken, and an inconclusive run resolves nothing — a client account cannot become clean because a check could not reach it.

Risk is stated, impact is not invented

Safeliant does not estimate monetary impact. A scan has no access to order values, margins or traffic, so findings state measurement and revenue risk with the evidence behind them — financial impact is assessed separately, using the client's own business data.

Coverage is labelled where it is claimed

Where a capability is partial it says so next to the claim, not in a footnote — including which platforms the full journey has been validated against and which checks only run under specific conditions.

Current coverage

Shopify revenue journeys are validated through checkout entry. Safeliant does not place customer orders. WooCommerce journey coverage is more limited today, and some storefronts may also restrict automated access; those checks are reported as unassessed rather than passed or failed.

The deliverable

Read a full report before you buy anything.

The report is the product. It is rendered from a real scanner run — every finding with its rule id, severity, evidence and recommended fix — and you can read the whole thing without an account, a card or a call.

Report — demo-store-a.example

Example data

Tracking fired before any consent interaction

tags_fire_before_consent

high
Tested
Loaded the storefront with a clean profile and recorded all outbound tracking beacons BEFORE any interaction with the consent banner.
Observed
A consent banner was visible on load, and 2 tracking beacon(s) were sent before any consent interaction.
Expected
No non-essential tracking beacon should be sent before the visitor interacts with the consent banner.

Evidence

  • network_request · fired pre-consent

    https://www.facebook.com/tr?id=&ev=PageView&noscript=1

  • network_request · fired pre-consent

    https://analytics.tiktok.com/i18n/pixel/events.js

Before you run one

What agencies ask first.

No. Safeliant tests storefronts from the outside in a real browser, exactly as a shopper would. There is no script to add, no tag to deploy and no code change on the client site — which also means you can check a prospect's store before you have any access to it.

Read every question we are asked — including what a scan cannot tell you.

See what Revenue Guard finds.

Point it at one client storefront. Read the findings with the evidence attached. If it is worth repeating, run the same journey across the portfolio from your own CI, cron or server.

Pricing depends on how many client accounts you monitor. Get an agency quote — five questions, no sales call.