A1E-commerce data platform

Numbers that finally agree.

Meta claims the sale. Google claims the same sale. Your store reports a third number. Cartograph pulls every source into one warehouse and turns it into the KPIs that actually run a store: what sold, what it cost, who comes back, when they reorder, and whether the ads are paying for themselves.

Request a demo How it works

Fig. 01: Attribution, reconciled

Meta Ads attributed revenue $48,210

Google Ads attributed revenue $51,876

TikTok attributed revenue $18,440

Klaviyo attributed revenue $9,310

GA4 sessions 214,032

Shopify actual net revenue $43,155

Cartograph · blended $43,155 real · 2.1x blended ROAS

Your platforms claim $127,836. Your store made $43,155.

B1The problem

Three platforms.
Three truths.

Everyone claims the sale

Ad platforms grade their own homework. Add up their dashboards and you've somehow tripled your revenue, so budget decisions run on fiction.

Reporting eats the week

Exports, copy-paste, fragile spreadsheets. By the time the numbers are assembled, they describe a week that's already over.

Profit is nobody's column

Spend, fees, shipping and COGS live in different tools. Revenue is everywhere; the number that pays salaries is nowhere.

C1The system

Sources in. Truth out.

Step 01

Connect

Every ad platform, your storefront, analytics and email connect once, then sync automatically around the clock.

Step 02

Reconcile

Data lands in one database, owned by you and built on BigQuery, where ad spend is joined to orders, orders to customers, and customers to costs.

Step 03

Decide

Blended ROAS, contribution margin, repeat rate, purchase cycles: live, on one dashboard, for everyone who makes the calls.

D1The platform

One sheet runs
the whole store.

Fig. 02 Overview Products Cohorts Synced 2 min ago

Blended revenue $0,410 ▲ 24% vs last wk

Blended ROAS 2.9x ▲ 0.3

Contribution margin 31% ▲ 2pts

Repeat customers 0% ▲ 3pts

Revenue · last 8 weeks

Channel	Spend	Revenue	ROAS
Meta	$16,620	$48,210	2.9
Google	$12,650	$51,876	4.1
TikTok	$8,380	$18,440	2.2
Email	–	$9,310	–

New vs returning · weekly

New · 1,092 Returning · 755

Avg order value · by channel

Meta$64

Google$71

TikTok$58

Email$77

24 SKUs live Refund rate 2.1% Inventory $214k 12-mo LTV $186

Fig. 03: Cohort retention % who reorder

M0M1M2 M3M4M5 Mar 1004231 262219 Apr 1004533 2723 May 1004432 26 Jun 1004735 Jul 10046 Aug 100

June cohort retains best: acquired on the Duo bundle.

Fig. 04: Reorder cycles due this week

Serum 30ml 34d avg 412 due
Moisturizer 41d avg 168 due
Cleanser 29d avg 205 due
Duo bundle 33d avg 96 due

881 customers due to reorder. One click exports the audience to Klaviyo and Meta.

Fig. 05: Product ledger week 32 · units, margin, repeat

Product	Units	Revenue	Margin	Cycle	Repeat	Stock	Δ wk
Serum 30ml	412	$18,540	41%	34d	61%	23d	▲ 12%
Serum 50ml	187	$12,155	46%	37d	58%	41d	▲ 6%
Moisturizer	296	$9,472	38%	41d	44%	11d	▼ 4%
Cleanser	233	$6,058	33%	29d	52%	36d	▲ 2%
Duo bundle	121	$8,470	44%	33d	67%	28d	▲ 19%

Moisturizer flagged: 11 days of stock against a 41-day reorder cycle.

D2Questions it answers

What did we actually sell?: Revenue, units and margin per product, per variant and per channel, daily. This week measured against every week before it.
Are the ads working?: Blended ROAS, cost per acquisition and spend per channel and per campaign, reconciled against real orders instead of platform claims. You see which creative sells and which one just spends.
Who comes back?: Repeat-customer rate, cohort retention and lifetime value, broken down by first product bought and by acquisition channel.
When do they buy again?: Purchase cycles per product: the average days between orders, which customers are due to reorder, and which ones you are about to lose.
Which version wins?: The same product across variants, bundles, price points and creatives, side by side, so the next restock order is a calculation instead of a guess.
Are we making money?: Contribution margin per order after ad spend, fees, shipping and COGS. Revenue is vanity; this row is the business.
Where does it all live?: In your own BigQuery database, with alerts when any metric drifts off plan. Leave any time; the data stays yours.

E1The result

Hours

to produce reporting that took days of manual assembly.

24/7

automated syncs, with fresh numbers every time anyone looks.

×1

version of the truth, shared by marketing, ops and finance.

In production today for a live e-commerce brand. Built and operated by Percepta, the studio behind Tataboo.

F1Contact

Get the full
picture.

Send us your channels and we'll chart your store: a walkthrough with your own data, not a slide deck.

karl@perceptasoftwares.com

Click to copy the address