# BooleanMaths vs WorkMagic

BooleanMaths records 30,692 monthly visits with -9.5% month-over-month growth and Free Trial, Contact for Pricing pricing. WorkMagic records 14,786 monthly visits with -40.2% growth and Contact for Pricing pricing.

| Metric | [BooleanMaths](https://openaitools.app/tool/booleanmaths-pulse) | [WorkMagic](https://openaitools.app/tool/workmagic-io) |
| :--- | :--- | :--- |
| Website URL | https://booleanmaths.com | https://workmagic.io |
| Categories | AI Marketing, AI For Data Analytics, AI Advertising | AI Testing, AI Marketing, AI Advertising, AI For Data Analytics |
| Pricing Model | Free Trial, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 30,692 | 14,786 |
| MoM Growth Rate | -9.5% | -40.2% |
| Primary Market | Global | United States |
| Direct Visits | 24,592 | 6,449 |
| Review Score | 4.1 | 4.1 |
| Saved Count | 0 | 2 |
| Supported Platforms | Website | Website |

## BooleanMaths

BooleanMaths positions itself as an "AI marketing engine" whose value is trustworthy data first. Rather than another dashboard that reads whatever the pixel captured, it emphasises server-side event collection: enriched purchase events are sent directly to Meta and Google Ads conversion APIs so ad platforms receive cleaner signals and attribution is less dependent on browser cookies.

The platform layers several analytics products on top of that data layer. Multi-channel attribution untangles overlapping journeys across Meta, Google, and email. User journey enrichment recovers sessions lost to third-party checkouts, cash-on-delivery orders, return-to-origin shipments, and cross-browser paths. A live P&L brings contribution margin, COGS, shipping, and ad spend into one view, and post-purchase surveys capture stated customer intent to validate the modelled attribution.

More recently BooleanMaths has leaned into agentic workflows. Its MCP Labs exposes the marketing data layer through a Model Context Protocol server, so teams can run prompts in Claude, ChatGPT, or Gemini to decompose ROAS, diagnose creatives, or plan seasonal demand. A newer BooleanVision feature tracks creative assets, extracts hooks and messaging, and recommends combinations. Pricing is quoted after a demo, and the company publishes benchmark case studies across dozens of D2C brands.

**Pricing & Plans:** Pricing is not published transparently on the main site; plans are quoted after a demo or sales conversation, with a free trial and promotional offers such as a discount on the first three months. A free walkthrough/demo is the usual entry point.

- **Server-side CAPI tracking:** Sends enriched purchase events to Meta and Google Ads conversion APIs to improve match quality and reduce dependence on browser-side pixels.
- **Multi-channel attribution:** Resolves overlapping journeys across Meta, Google, email, and other channels with multi-touch modelling for first-touch and channel comparisons.
- **Live P&L tracking:** Puts contribution margin, COGS, shipping, RTO, and ad spend in one live view so scaling decisions are made on profit, not just ROAS.
- **Journey enrichment and surveys:** Recovers orders lost to third-party checkouts, COD, RTO, and cross-browser journeys, and adds post-purchase surveys to capture customer intent.
- **MCP Labs for AI agents:** Exposes the data layer via an MCP server so teams can run prebuilt or custom prompts in Claude, ChatGPT, or Gemini for ROAS decomposition and creative diagnostics.

**Strengths:** Server-side CAPI and journey enrichment directly target common D2C attribution blind spots; Combines attribution, P&L, creative intelligence, and surveys in one data layer; MCP integration lets existing AI assistants query first-party marketing data; Publishes benchmark case studies with concrete ROAS and visibility deltas

**Limitations:** No transparent public pricing; you must book a demo to get numbers; Attribution quality still depends on correct event implementation and product-level data hygiene; Heavier setup than a simple pixel installer for stores with complex checkout flows

[Profile (Markdown)](https://openaitools.app/tool/booleanmaths-pulse.md)

## WorkMagic

Most marketing analytics stacks start from platform-reported conversions, which are inflated by double counting and by conversions that would have happened anyway. WorkMagic takes the opposite route: run incrementality tests first to establish what actually caused sales, then use those verified results to calibrate the models your team relies on day to day. The company calls this Triangulated Measurement — lift tests for truth, media mix modelling for strategic budget planning and causal attribution for tactical execution.

The platform's incrementality testing is automated and positioned on reliability: WorkMagic says 98% of its tests successfully measure lift, against an industry average of about 70%. Those results feed two downstream models. The omnichannel causal attribution model assigns credit across channels and creative while accounting for cross-channel effects, and the media mix model combines historical data with live test results to produce budget projections the vendor says land within 10% of actual performance.

A recurring theme in WorkMagic's customer stories is the halo effect — for example, TikTok Shop Ads that lift Shopify revenue far beyond the platform they ran on, or DTC attribution figures that were off by roughly a third. By measuring those cross-channel effects, brands and their finance teams share one view of incremental performance and can shift spend with more confidence. WorkMagic sells to e-commerce and omnichannel advertisers through a demo, so pricing is quoted based on your spend and measurement scope.

**Pricing & Plans:** Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

- **Incrementality testing as ground truth:** Run automated geo and holdout experiments that measure true causal lift, with the vendor reporting a 98% test success rate versus an industry average near 70%.
- **Omnichannel causal attribution:** Calibrate a multi-touch attribution model with verified lift results so channel and creative-level credit reflects real incremental impact across all sales channels.
- **Causal media mix modeling:** A real-time MMM calibrated on historical data plus live test results, producing budget projections that land within roughly 10% of actual performance.
- **Halo effect measurement:** Quantify the impact of ads on sales channels beyond the one they ran in, so ROAS reflects the whole funnel rather than a single platform.
- **Finance-aligned reporting:** Align growth and finance on the same objective metrics, replacing platform-reported CAC estimates with incrementality-adjusted figures.
- **Budget optimisation:** Convert measurement into next-dollar decisions with budget scenario planning across channels and creative.

**Strengths:** Uses causal lift tests rather than trusting platform-reported conversions; Calibrates MMM and attribution with real experimental results; Explicitly quantifies halo effects across sales channels; Transparent published accuracy claims (98% test success, projections within 10%)

**Limitations:** Demo-gated sales process with no transparent public pricing; Enterprise-grade measurement fits larger advertisers better than very small brands; Incrementality tests and MMM calibration need meaningful data volume to be reliable; Value depends on connecting ad platforms, CDP and analytics data cleanly

[Profile (Markdown)](https://openaitools.app/tool/workmagic-io.md)

## Frequently Asked Questions

### How do BooleanMaths and WorkMagic compare in monthly traffic?

BooleanMaths has 30,692 monthly visits, while WorkMagic has 14,786. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BooleanMaths has a month-over-month growth rate of -9.5%; WorkMagic has -40.2%.

### How does pricing compare?

BooleanMaths: Free Trial, Contact for Pricing. Pricing is not published transparently on the main site; plans are quoted after a demo or sales conversation, with a free trial and promotional offers such as a discount on the first three months. A free walkthrough/demo is the usual entry point. WorkMagic: Contact for Pricing. Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Triple Whale](https://openaitools.app/tool/triple-whale) | 1,594,461 | +1.1% | Freemium, Paid | Know what's actually working in your ecommerce business — and act on it instantly. | [.md](https://openaitools.app/tool/triple-whale.md) |
| 2 | [HypeAuditor](https://openaitools.app/tool/hypeauditor-com) | 917,615 | +0.5% | Contact for Pricing | AI influencer marketing platform to find, vet, and run creator campaigns | [.md](https://openaitools.app/tool/hypeauditor-com.md) |
| 3 | [Peec AI](https://openaitools.app/tool/peec-ai) | 262,088 | +0.8% | Free Trial, Paid, Contact for Pricing | AI search visibility analytics for marketing teams | [.md](https://openaitools.app/tool/peec-ai.md) |
| 4 | [Scale Insights™](https://openaitools.app/tool/scaleinsights-com) | 84,404 | -33.4% | Free Trial, Paid | Automate Amazon PPC with rules you fully control | [.md](https://openaitools.app/tool/scaleinsights-com.md) |
| 5 | [Polar Analytics](https://openaitools.app/tool/polaranalytics-com) | 44,209 | -23.6% | Free Trial, Paid | The AI data platform that gives ecommerce teams and their agents one trusted source of truth | [.md](https://openaitools.app/tool/polaranalytics-com.md) |
| 6 | [Lebesgue](https://openaitools.app/tool/lebesgue) | 23,737 | -24.3% | Freemium, Free Trial | An AI CMO that explains your e-commerce marketing data and tells you what to do next | [.md](https://openaitools.app/tool/lebesgue.md) |
| 7 | [Akkio](https://openaitools.app/tool/akkio) | 19,527 | +8.8% | Freemium, Contact for Pricing | AI workflow automation for campaign teams and retail media | [.md](https://openaitools.app/tool/akkio.md) |
| 8 | [By the Numbers](https://openaitools.app/tool/bythenumbersapp-com) | 11,605 | -43.6% | Free Trial, Paid | Shopify analytics that explain why your numbers moved | [.md](https://openaitools.app/tool/bythenumbersapp-com.md) |
| 9 | [Growify](https://openaitools.app/tool/growify) | 8,513 | +11.5% | Paid (quote-based); Contact for Pricing | AI attribution that shows which marketing channels actually earn their budget | [.md](https://openaitools.app/tool/growify.md) |
| 10 | [Incremental](https://openaitools.app/tool/incremental-ai-tradeswell-ai) | 6,880 | +5.4% | Contact for Pricing | Causal intelligence for commerce media | [.md](https://openaitools.app/tool/incremental-ai-tradeswell-ai.md) |

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Source: https://openaitools.app/compare/booleanmaths-pulse-vs-workmagic-io

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