BooleanMaths

Category

Data Analysis

Pricing

BooleanMaths runs a 4-tier, order-volume-based subscription with a free trial (14 days per its own pricing page, though its Shopify App Store listing shows 7 days, so this is worth confirming before you commit). Startup is $99/mo for up to 3,000 orders/month and covers multi-touch attribution, CAPI, checkout recovery, ROAS and creative-fatigue analytics, and MCP access. Pro is $199/mo for up to 7,500 orders/month and adds WhatsApp retention campaigns and ad-blocker-resilient tracking. Business is $399/mo for up to 18,000 orders/month and adds Marketing Mix Modeling and priority SLA support. Enterprise is custom-priced (36,000+ orders/month) on the main site, though the Shopify listing shows a $799/mo Enterprise figure — the two sources don't fully agree, so treat exact numbers as directional until you check the live pricing page yourself. Annual billing is advertised at roughly 24-25% off, with no setup fees and cancel-anytime terms.

Best for

Best suited to established Shopify D2C brands with meaningful (roughly four-to-six-figure monthly) ad spend on Meta and Google who need better attribution and server-side tracking than GA4 or pixel-only setups provide.

Official site

booleanmaths.com

Last updated

August 2026

BooleanMaths solves a specific, well-understood pain point for Shopify sellers: ad platforms, GA4, and gut instinct rarely agree on which channel actually drove a sale, especially once third-party checkouts, cash-on-delivery orders, ad blockers, and cross-device browsing muddy the picture. Its answer is a server-side data layer — CAPI pushes to Meta and Google plus its own multi-touch attribution model — paired with AI layers on top (creative-fatigue scoring, audience segmentation, and an MCP endpoint that lets you literally ask Claude or ChatGPT 'which channel drove our margin last week' instead of building a Looker dashboard). That MCP piece is genuinely differentiated for a tool at this price point; most attribution vendors haven't built an AI-query layer yet.

Whether it's worth paying for comes down to two things: order volume and how badly your current tracking is broken. At $99-399/mo scaling with order count, the math only works if attribution gaps are actually costing you enough ad-spend efficiency to notice — a store doing a few hundred orders a month on a modest ad budget is unlikely to see enough signal-quality improvement to justify the line item, especially stacked on top of Shopify's existing app fees. A brand spending five or six figures a month on Meta/Google, where a few points of better optimization signal move real dollars, is a much more obvious buy. It's also worth treating the vendor's own accuracy claims (tracking-visibility uplifts versus GA4 and competitors like Triple Whale) as marketing numbers rather than audited benchmarks until you've run your own before/after comparison during the trial.

In the Data Analysis category on this directory, BooleanMaths sits closest to two very different tools worth ruling out first. Accoil is also an AI-driven analytics product, but it tracks product usage and account health/churn risk for B2B SaaS companies — a completely different buyer with a completely different data source (in-app events, not ad pixels and checkouts). If you're evaluating BooleanMaths because you searched 'AI analytics tool' and landed here by mistake while actually trying to reduce SaaS churn, Accoil is what you want instead; the two aren't substitutes despite sharing a category. HubSpot AI Tools is a more direct strategic fork: HubSpot's Breeze AI features sit inside a much broader, more expensive CRM-and-marketing suite, where attribution is one feature among dozens. If you already run (or plan to run) your marketing, sales and service stack on HubSpot, its AI attribution features may be 'good enough' bundled in, and adding a second specialist tool is redundant spend. But if you specifically need deep, Shopify-native tracking fixes — server-side CAPI, checkout-loss recovery, creative-fatigue detection — without buying an entire CRM platform, BooleanMaths as a focused bolt-on is the more surgical, cheaper choice. The decision is really 'specialist point solution' versus 'features of an all-in-one platform,' not which tool is objectively better.

Pros and cons

Frequently asked questions