Comparison

BooleanMaths vs connecting Claude directly to Meta, Google and Shopify

Plugging Claude into your ad accounts and store takes five minutes. Getting answers you can move budget on takes a data layer underneath. Here is what each setup actually gives you.

TL;DR

  • Direct connectors give Claude each platform's own version of the truth. Meta and Google both claim the same order, Shopify can't tell which ad drove it, and none of them know your margins.
  • BooleanMaths merges pixel, store, checkout and shipping data at the order level, deduplicates credit across channels and adds your costs. Claude then reads clean, analysis-ready numbers through the BooleanMaths connector.
  • Direct connectors are great for quick lookups and store operations. Use BooleanMaths when the answer decides where your budget goes.
  • It isn't either-or. BooleanMaths is a Claude connector too, so both can live in the same chat.
75+ D2C brands10M+ orders trackedWorks in Claude, ChatGPT and Gemini

Same Claude. Different foundation.

Claude is only as accurate as the data it is handed. The model doesn't change between these two setups. What it reads does.

Claude + direct connectors

Meta AdsMeta-reported conversions
Google AdsGoogle-reported conversions
ShopifyOrders, mostly without ad source
Claude stitches it together, chat by chat. No shared key links an ad click to an order, so it can only compare totals.
Result: the sum of platform claims, which is usually more orders than you actually shipped, and no view of profit.

Claude + BooleanMaths

MetaGoogle AdsChatGPT AdsShopifyGoKwik, ShopfloAmazonBlinkit, Zepto, InstamartDelhivery, ShiprocketWhatsApp
BooleanMaths data layerServer-side tracking, order-ID merge of pixel, store and shipping data, cross-browser identity stitching, multi-touch attribution, SKU-level costs.
Result: Claude reads one deduplicated, profit-aware record of what happened, through purpose-built MCP tools.

Where the two setups split

Who gets credit for the order

Direct connectors

Every ad platform grades its own homework. Meta and Google count overlapping conversions, and Claude can't dedupe them because the click-to-order link isn't in either API.

BooleanMaths

One record per order with every touchpoint on it, so credit is split once. Pick the model per funnel stage: 30-day first touch for prospecting, 14-day linear for mid-funnel, 3-day last touch for bottom-funnel.

Revenue vs profit

Direct connectors

Shopify revenue and platform ROAS. COGS, shipping, payment fees and RTO losses don't live in those APIs, so a winning campaign on revenue can still lose money.

BooleanMaths

CM1 and CM2 by SKU, campaign and creative. When Claude says scale, it means scale contribution margin, not top-line revenue.

India's real commerce stack

Direct connectors

Third-party checkouts drop the cart token, COD and RTO add noise, and quick commerce or shipping partners rarely have a connector at all.

BooleanMaths

Built India-first. GoKwik and Shopflo checkouts, delivered-not-just-placed orders, Amazon, Blinkit, Zepto, Instamart and your shipping partners, all in one place.

Same question, two answers

You ask Claude: "Which Meta campaigns should I scale next week?"

With the Meta connector alone

  1. Pulls campaign spend and Meta-reported purchase value.
  2. Ranks campaigns by platform ROAS.
  3. Recommends scaling the top of the list.

The catch: retargeting usually tops the list because it claims orders that would have happened anyway. Margins, returns and Google's overlapping claims never enter the answer.

With BooleanMaths

  1. Reads true ROAS per campaign on the right model for its funnel stage.
  2. Checks CM2 after ad spend, RTO and fulfilment costs.
  3. Compares Meta's claimed orders with orders BooleanMaths actually tracked.
  4. Flags creative fatigue and whether the campaign type can absorb more spend.

The answer: a short list of campaigns that grow profit, with campaign IDs and the reason for each call.

Feature by feature

Where direct connectors win, we say so.

YesPartlyNo
CapabilityClaude + direct connectorsClaude + BooleanMaths
CostIncluded with your Claude planPaid subscription, priced by order volume
Setup timeMinutes per connectorApp install and integrations in under 30 minutes. Data accuracy and automated sanity checks within 24 hours
Quick lookups (yesterday's spend, one order's status)YesYes
Store operations (edit products, create discounts)Yes, through the Shopify connectorCompatible with the Shopify connector in the same chat
Deduplicated cross-channel attributionEach platform's self-reported viewOne order, credit split once
Ad click joined to the actual orderNo shared key across APIsPixel, store and shipping data merged on order ID
Choice of attribution model and windowWhatever each platform offers, not comparableFirst, last, linear and any touch, across windows up to 30 days
Profit (CM1, CM2) by SKU, campaign and creativeCosts aren't in the APIsYes
RTO and COD adjusted resultsPlaced orders onlyShipping-partner data shows what was delivered
Tracking through GoKwik and Shopflo checkoutsCart token lost at checkoutYes
Instagram in-app browser to Chrome or Safari journeysSeen as two different peopleStitched into one journey
Conversions API back to Meta, Google and ChatGPT AdsReads data, can't run a server-side pipelineBetter signal back to the ad algorithms
Amazon, quick commerce, shipping and WhatsApp dataSeparate connectors where they exist, mostly they don'tOne combined view of every channel
Creative intelligence (hooks, tags, fatigue)Raw ad metrics onlyTagged creatives scored on true ROAS and CM2
Post-purchase survey calibrationNoYes
Same metric definitions across chats and teammatesRe-derived in every chatBrand-level attribution settings and custom metrics
Long date ranges without hitting chat limitsRaw rows page into the conversationPre-aggregated, analysis-ready tools
Team access controlsWhoever connects sees the whole accountAdmins choose features and data per user
Works in Claude, ChatGPT and GeminiDepends on each connectorYes, one MCP connector

When direct connectors are enough

  • You need one number from one platform, like today's spend.
  • You're running store operations: products, inventory, discounts.
  • You advertise on a single channel and sell mostly prepaid on one storefront.
  • You're exploring before you commit to a measurement stack.

Better together

BooleanMaths is a Claude connector too. Add it next to your Shopify connector and Claude reads trusted numbers from BooleanMaths, then acts in Shopify. Ask which SKUs are profitable to push, and launch the discount in the same chat.

See the MCP tools →

Frequently asked questions

Can't Claude work out attribution from Meta and Shopify data on its own?

Not reliably. Platform conversions are modelled and overlap, and Shopify orders often carry no trace of the ad click, especially through third-party checkouts. Without an order-level link between the two, Claude can only compare totals and guess.

How is the BooleanMaths MCP different from the Meta or Shopify connectors?

Platform connectors expose raw API endpoints. BooleanMaths exposes analysis tools on unified data: channel attribution, CM2 by product and campaign, creative performance, cohorts, RTO and more, already computed and consistent.

Do I need to remove my direct connectors?

No. Keep them for lookups and store actions. Use BooleanMaths for anything that decides budget, scaling or what to cut.

Which AI assistants work with BooleanMaths?

Claude, ChatGPT and Gemini, through the same MCP connector.

How long before the numbers are reliable?

Install and integrations take under 30 minutes. Automated sanity checks confirm data accuracy within 24 hours, and attribution sharpens as complete customer journeys build up.

Data you can trust. AI agents that are accurate.

Give Claude the numbers your finance team would sign off on.