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Ad blockers, third-party checkouts, and privacy updates have shattered your marketing data.
Behind every marketing dashboard lies a painful truth: you’re making critical budget decisions based on incomplete information.
When attribution breaks, so does your ability to optimize campaigns and scale what works. The result? Wasted budget and missed growth opportunities.
BooleanMaths rebuilds your broken data by:
Stop playing guessing games with your marketing budget. Start making decisions based on what actually works.
Your campaigns are running—but your data doesn’t agree.
Meta says one thing. Google says another. Shopify tells a different story altogether.
Meanwhile, your budget decisions hang on guesswork, not truth.
BooleanMaths fixes that.
It pulls together your scattered marketing data— from Meta, Google Ads, Shopify, Klaviyo, and more—into one clean, connected customer journey.
You’ll finally see which ads, channels, and touchpoints are actually converting (and which are eating budget).
No silos. No contradictions. Just crystal-clear attribution you can trust.
BooleanMaths gives you true attribution power with a full suite of models:
Your insights will only get deeper. You get the real story behind every conversion, not just a piece of it.
✅ Tracks full customer journeys from ad click to checkout
✅ Unifies data from all your marketing tools—including advertising platforms, email marketing systems, eCommerce platforms, and organic search efforts
✅ Reveals hidden channel combos that actually drive revenue
✅ Boosts ROAS by an average of 43% with real-time attribution clarity
Here’s how it works:
Your ad platform can only optimise what it can see.
But with blocked pixels, browser restrictions, and iOS updates, most of your conversion data never even makes it to Meta or Google.
So the algorithm guesses.
You pay the price.
BooleanMaths changes that.
With one-click CAPI integration, BooleanMaths sends clean, server-side conversion data straight to Meta and Google Ads—bypassing browser blocks and pixel failures entirely.
You don’t need a developer.
You don’t need to touch code.
You just connect—and your ads start working better.
✅ One-click Conversion API setup for Meta & Google
✅ Server-side events restore tracking accuracy
✅ Platforms optimise faster with real conversion data
✅ Lower CPAs and higher ROAS with zero tech headaches
Here’s how it works:
By the time your reports catch up, your budget’s already gone.
You launch a campaign. You wait for results.
Then wait some more.
By the time you see what’s working, the window to scale it is already closing.
BooleanMaths flips the timeline.
It gives you a real-time analytics dashboard that shows what’s performing right now–across every ad, channel, and touchpoint.
From first click to final purchase, you’ll see the full customer journey unfold as it happens, along with actionable recommendations to double down or course correct immediately.
✅ Real-time data on ads, journeys, and conversions
✅ Instant alerts on creative or channel performance shifts
✅ Automated optimisation suggestions to boost ROAS
✅ Visibility into which paths lead to high-value customers
Here’s how it works:
Marketing isn’t linear anymore.
Your customers don’t go from ad → cart → checkout.
They bounce, revisit, get emails, hear from influencers, scroll social, and then decide.
And if your attribution tool can’t see that full journey?
You’re not optimising—you’re gambling.
BooleanMaths maps the entire path to purchase.
Across devices, channels, sessions, and touchpoints, you’ll get the complete picture of what actually drives conversions—not just the last click.
Whether it’s a Facebook ad followed by an email series, or an influencer link that sets up a final Google retargeting win—BooleanMaths shows you what moved the needle (and what didn’t).
Inside your dashboard, you’ll:
Use it to build smarter funnels, stronger nurture flows, and higher-LTV customer journeys based on what really happens—not what your ad platform guesses.
Your tracking isn’t broken. The internet changed.
iOS updates. Cookie banners. Ad blockers. Privacy-first browsers.
The rules shifted—and suddenly, your attribution is full of holes.
Pixel data gets blocked. Journeys get lost.
And your ad platform is optimising based on… maybe 60% of the truth?
BooleanMaths was built for this moment.
It uses advanced first-party fingerprinting and cookieless tracking to follow your customers across devices, sessions, and privacy layers—without breaking the rules.
So even when Safari blocks your pixel or Chrome drops cookies, your data stays intact—and your attribution stays accurate.
✅ First-party fingerprinting that works without cookies
✅ Tracks users across sessions, devices, and checkouts
✅ Privacy-compliant by design—no shady workarounds
✅ Keeps your Meta & Google campaigns fuelled with real data
Here’s how it works:
Getting accurate attribution shouldn’t mean wrangling spreadsheets, chasing missing data, or second-guessing every ad report.
BooleanMaths brings everything into one platform—first-party tracking, no-code CAPI, full customer journey mapping, and real-time performance insights.
All from a single, privacy-first dashboard built for growth.
Whether you’re running a brand, scaling client campaigns, or managing paid ads across platforms, BooleanMaths helps you track smarter, optimise faster, and grow with total clarity.
Try BooleanMaths and see what happens when your data finally makes sense.
Get Lifetime access to BooleanMaths today!
60-day money-back guarantee. Try it out to be sure it’s the right fit for you!
One-time payment. Lifetime deal.
60-day money-back guarantee. Try it out to be sure it’s the right fit for you!
👋 Hey Zillians!
We’re incredibly excited to be here on SaaSZilla and finally introduce Booleanmaths to this amazing community!
We’re a small, focused team of engineers, data scientists and marketers with deep roots in SaaS and MarTech. Between us, we’ve built and scaled Fintechs, SaaS and analytics tools across both startups and enterprises.
Booleanmaths was born out of our own frustration with inaccurate ad tracking, unreliable ROAS data, and missing attribution—especially with Meta Ads, Google Ads, influencers, and third-party checkouts like Shopflo and Shiprocket. We were tired of flying blind when making decisions that cost real money.
When we out into the market, we found out how other businesses had the same issues, irrespective of them using Shopify, WordPress or a custom development.
So we built Booleanmaths:
⚙️ A conversion tracking & attribution engine that combines Meta CAPI, Google Ads conversions, influencer UTM links, and API-based integrations—all under one dashboard.
But it’s not just another analytics tool.
We’re laser-focused on giving you reliable data, even when pixels fail, cookies get blocked, or journeys split across devices and we make sure the same reliable data flows back to Meta and Google via CAPI to enrich your Ads and gives your ROAS a boost.
We’re offering this LTD to the SaaSZilla community because we believe every marketer deserves enterprise-grade data flows—without the enterprise price. And this early access will help us shape the future of Booleanmaths with your feedback.
✨ What makes us different?
We’re here to listen, support, and grow with you.
Got questions? Drop them in the comments.
Want to try it out? Dive in—we’ve made onboarding simple.
Need help? Our team is standing by. We genuinely care about helping you scale smarter.
Let’s build something better, together. 🚀
— Team Booleanmaths
When was your company founded & where is it located?
Our Parent Company was founded in June 2023. BooleanMaths was started in September 2024. We are located in Mumbai & Bangalore, India
Where is your customer data stored?
AWS – APAC
What is your team size?
We are 8 full-time members. 2 Cofounders, 4 developers, a marketer and a designer.
How many customers/users do you have today?
We have 110 Users as of today.
Are you funded or bootstrapped?
We are funded by Inflection Point Ventures.
What’s the origin of the idea for your product?
The idea for Booleanmaths originated from my own frustration with the lack of meaningful marketing data and insights within organizations. As I worked across different teams and platforms, I noticed a recurring problem—data was siloed, and there was no clear way to connect the dots between ad campaigns, customer interactions, and actual conversions.
This often led to wasted spend and missed opportunities for growth. I wanted to build a platform that would not only centralize this data but also provide actionable insights to optimize marketing efforts, from influencers to paid ads, without needing complex setups.
What problem is your product solving and how?
Booleanmaths solves the problem of fragmented and unreliable marketing data, which makes it difficult for businesses to track the full customer journey, optimize ad spend, and accurately measure ROI. third party cookies are failing and with that Ads and Analytics platforms fail to connect the dots between ad interactions, influencer campaigns, and actual conversions.
By integrating UTM links, pixel tracking, and attribution models in one platform, Booleanmaths offers seamless, no-code integrations that give businesses a clear view of what’s working and where to invest to maximize returns. This helps eliminate wasteful spending and makes data-driven decision-making easy for marketers.
What 3rd party tools is your product critically dependent on
Beyond simply relying on them, we leverage integrations with various platforms that enable Booleanmaths to provide accurate attribution, sophisticated analytics, and consistent data flow across marketing channels:
1. Meta (Facebook) Ads – For tracking ad performance, running campaigns, and integrating conversion data via their API.
2. Google Ads – For ad campaign management, conversion tracking, and performance data via conversion API integrations.
3. Shopify – For seamless integration with Shopify stores, collecting order data and syncing with ad campaigns to provide complete user journey analytics.
What are past projects, failures, or successes you’ve had in your career?
We’ve had my fair share of ups and downs in my career. One of my biggest wins was working on Creditmate – India’s first digital data driven debt collection platform, which was eventually acquired by Paytm. It was an experience that taught us a lot about scaling and building for the long term.
We also successfully launched Medront’s consumer app, which grew to 25K users. It was a great success in terms of user acquisition and engagement. We had to build an array of sophisticated features around data ownership and utility and at the same time educate and engage our User base through seamless user experiences.
However, not everything panned out perfectly. As part of Medront, we had a DaaS platform that didn’t take off as expected. The biggest hurdle was needing a much larger user database to make it viable. But this challenge led us to valuable insights, and it was through conversations with dozens of DTC brands around DaaS, that we realized the market was craving a better solution for marketing data.
That’s how Booleanmaths was born – a marketing SaaS platform designed to solve the problems we had encountered firsthand.
What’s the #1 thing you’re looking to gain from the SaasZilla campaign?
The #1 thing I’m looking to gain from the SaasZilla campaign is the chance to rapidly grow Booleanmaths’s user base by connecting with marketers and agencies who need better insights into their ad performance and customer journeys. We deeply value the input from the SaasZilla community of experienced users – their feedback will be invaluable in helping us refine the product, address real-world pain points, and create the best solution for businesses to supercharge their marketing strategies.
What are your plans with the customers, cash, and learnings from the SaasZilla campaign?
Our plans with the customers, cash, and learnings from the SaaSzilla campaign are as follows:
1. Customers: We aim to build long-term relationships with our early users, gathering feedback to continually improve Booleanmaths. Their insights will help us refine the product to better serve D2C brands, agencies, and marketers. We also plan to leverage customer success stories to grow our brand credibility and attract more users.
2. Cash: The funds raised will be reinvested into further product development to provide the best experience possible. We’ll also focus on scaling our marketing efforts, and expanding our customer support team.
3. Learnings: We’ll use the campaign learnings to fine-tune our product-market fit and enhance user onboarding. Understanding what resonates most with SaaSzilla’s community will help us prioritize feature requests and streamline our roadmap to address the real-world needs of marketers. We also plan to analyze customer behavior to improve conversion rates and reduce churn, ultimately driving stronger growth.
We take your privacy seriously. Learn more in our terms of use & privacy
Do you have any plans for a native WooCommerce integration?
Hi Adrian,
Yes, we do have plans for a native WooCommerce integration. Some of our existing clients are on WooCommerce via a Pixel Code based setup, so our development team is already exploring the feasibility for a native Integration.
We haven't yet put it in the development queue, but we will aim to deliver it in our 3 Month RoadMap.
This app looks fantastic! And I apologize in advance for the many questions – I've read everything, watched your video, read the case studies, etc. and tried to find these answers but couldn't so I'm asking them here.
For my use case, I'll be using this almost entirely for clients who run lead gen campaigns and then the sales happen offline. I also realize you guys are only a year old and haven't had the time that more mature platforms have so there's a lot of grace for you guys.
Questions for my use case & general questions:
1. It looks like you can track leads and any event on your website including form submissions and clicks on call buttons (Amazing). In your demo video, I didn't see any lead data in the "ads manager" section where you were going through the different ad performance metrics. If our Meta/Google Ad campaigns are set up to generate leads, will this column be in the ads manager part of the Booleanmaths dashboard?
2. Does this integrate with Go High Level (GHL)? Specifically I need to track sales that happen usually over the phone but the sale amount and other data gets recorded in the GHL CRM. It would be ideal if there was an easy way to tie those two together. Or, if not a one click integration, at least some way to connect them so that sales data gets tracked within the Booleanmaths dashboard as well as the leads generated. This would also be useful for tracking email stats and sms marketing stats in our GHL account.
3. Is there a way to connect this to callrail? And if there's not a direct integration, is there a workaround? Like using zapier or some other method?
4. Any integration with Google Search Console?
5. Different funnels:
– Any chance you're planning to add content attribution that shows us which pages on our website led to conversions?
– Can we set up custom "funnels" on our own – for example, a funnel might be a user lands on this page we want to track > then ads to card > checkout > ty page – type of thing?
– User journeys based on goals and events – in a nice looking dashboard?
6. I thought I saw something about AI insights features coming soon where you could use the AI to analyze the data and provide insights as well as ask it questions about the data? That might not have been here though so I'm double checking.
7. Finally, is there any chance you're planning to improve the dashboard UI? Because I use usermaven right now and it's a much more pleasant looking dashboard that – most importantly – clients can look at and understand. Things like the conversion paths, user journey, custom funnels, and the dashboards, for example could look much cleaner. The dashboards are pretty outdated looking as well which makes it instantly sort of overwhelming to clients. I did see this "New UI and calculated fields to better analyse Ad Campaigns." on your roadmap but I don't know what this means in simple terms.
Again, I apologize for all of the questions. I think this platform looks really impressive and I'll be maxing out the deal for sure either way. Just curious what the capabilities are on the above and where it's headed in terms of the UI/future integrations and functionality.
Thanks for your help!
Hi Zilla-f3uk3
No need to apologise at all, you have clearly spent considerable time digging into the product, case studies, and video. That means a lot to our entire team. Thanks!
Let me tackle your questions one by one:
1. Tracking Leads in Ads Manager
Yes, you can absolutely track lead events like form submissions and button clicks. This requires a setup via Custom Events and it’s best to get our Support team on call to troubleshoot for the first few times.
In the current Ads Manager’s default view, we focus on conversions and revenue, but you can show/hide other events as well. Plus we understand that your data requirement will be different from our current Shopify brands, so we would love to get your feedback on how to make it better for you.
2. GoHighLevel Integration
GHL is not integrated natively yet, but it's high on our radar (we have received a few more requests as well). We are currently working on how to absorb offline events (like sales from phone calls or emails) into Booleanmaths using Zapier, webhooks, API endpoints or uploads. We'd love to collaborate to build this the right way, your use case is a great trial for it.
3. CallRail Integration
Not natively supported yet, but should be doable via Zapier or webhook forwarding.
4. Google Search Console:
This is on our extended roadmap. We’re focused right now on paid attribution + customer journey tracking, but we know that organic search matters and will eventually focus on GSC data too.
5. Funnels & Content Attribution
Page-level attribution is a great idea. We hadn’t thought of it. But now we will, so that you can see what content influences conversions.
Custom funnels and user-journeys are are also in development
6. AI Insights
Unfortunately, AI insights is not a part of this launch. However, I would love to give you some details on what we are working on.
We’re working on two paths.
First, is a Marketing assistant that implements and monitors marketing data using industry standard Analytics models (RFM, Churn, Attribution, MMM, Incrementality).
Second is Marketing Intelligence using a managed LLM service.
The final AI layer will be a composite of both.
I personally think this is the correct approach to deliver accuracy while keeping costs low.
We will definitely give early access and heavy discounts to our LTD users when these features go live.
7. Dashboard UI Overhaul
Completely agreed, the current UI is functional but not attractive.
We used Superset to develop the first version of Analytics, unfortunately we are increasingly of the opinion that Superset won’t be the best solution going forward. So we will be doing an overhaul soon.
Usermaven looks sleek. We will keep it in mind when we do the overhaul.
The “New UI and calculated fields” item on our roadmap means a revamp of the Ads Manager which is mostly done for Shopify Brands. Ongoing for custom deployments (basically, your point 1).
—
Again, really appreciate your detailed questions and thoughtful approach. You’ve clearly done your homework.
Also thanks for being patient with us and giving us the benefit of doubt. We are less than a year old, but we are an experienced team and we are extremely excited about building out our vision of a universal marketing data platform.
We’d love to stay in touch and have you with us on this journey.
HI,
intersting tool, but how can it be GDPR complaint when I can see the IP address and mail in clear?
Where are the data hosted/stored?
Thanks for your reply
Hi Gieri,
Thanks for raising an important point.
We’re actively working toward full GDPR compliance and have already implemented several best practices, with additional measures in progress.
Sensitive fields like email, phone number, and location are hashed before being shared with Meta or Google via Conversion APIs. While IP addresses and email identifiers may temporarily appear in internal logs for debugging or analytics, they are never available for download, and are not shared externally without proper hashing. We're also working to fully anonymise or mask any non-essential data in line with evolving GDPR standards.
As a Data Processor, our additional responsibility is to support our customers (the Data Controllers) in achieving GDPR compliance for their end users. This primarily includes:
– Supporting user consent tracking
– Ensuring data is only collected or processed based on that consent
– Allowing for opt-outs and eventual data deletion where required
We are working on developing all these functionalities ASAP.
Currently, all data is securely hosted in AWS Mumbai instance, and we’re planning to launch a dedicated EU instance soon to better serve European customers and strengthen regional compliance.
While we’re committed to full compliance, we’re also realistic and transparent, we’ll prioritise and accelerate this further if we onboard a significant number of EU customers.
Hi Nitesh,
First of all, congratulations on the launch of BooleanMaths — it looks like a very complete product, I’m impressed!
I have a specific use case that’s usually not well handled by marketing attribution tools, and I’d like to know if BooleanMaths can support it.
One of my clients sells both online and in-store using Shopify and Shopify POS. While online sales are easy to attribute to campaigns, offline (POS) sales are more challenging.
To solve this, we collect the customer’s first name, last name, email, and phone number during the in-store purchase, and we send offline conversion events to Meta and Google using webhooks. This allows us to see the number of offline conversions attributed to each campaign in their respective Ads Managers.
The key point is that we do not rely on device fingerprinting or tracking cookies, since the customer completes the purchase in a physical store — we rely solely on matching personal identifiers (name, email, phone).
Can BooleanMaths support this kind of hybrid attribution setup — using personal identifiers to attribute offline sales to Meta and Google campaigns?
Thanks in advance for your help!
Hi Julien,
Thanks so much for the kind words and for sharing such a detailed use case — really appreciate it!
You're spot on: hybrid attribution that includes offline POS sales is a real challenge, and we’re actively working to solve it. The solution you have described is actually a pretty good template for what we are currently developing. The good news is that we can go live in the next few weeks and we are actively looking for Partners to work with to refine the solution.
Once deployed,
We will be able to fetch the offline POS sales via Shopify Webhooks.
Merge it with the Online customer journey using Name, Email and Phone Number and any other identifiers.
Send these conversion events to Meta/Google via CAPI.
Calculate Attribution using the entire customer journey (Online + Offline)
Hi
can we use the shopify integration and how many stores can we connect?
Can we re-assign stores later?
Hello fabrizio, sure you can integrate shopify stores, there are number of project you connect based on tier
Tier 1 – 25 Projects
Tier 2 – 50 Projects
Tier 3 – 75 projects
Tier 4 – 125 Projects
Tier 5 – 250 Projects
About the re-assign of stores, this will mix the data of two stores, but in some special case we can do it. let me know if you have any other queries.
thanks,
so if we can't re-assign stores by ourself, it means these are "one off".
I was in a similar situation with another SAAS, i strongly suggest to add this in the ad copy as it's a deal breaker for many users.
I suggest being able to delete and re-assign the projects freely and not being fixed.
This is something easy achievable with similar apps like Growify.
thanks
Fab
Hey Fab,
Not sure what exactly you mean by re-assigning stores and there may be some confusion because of my earlier reply.
You can easily delete old inactive stores and add new ones from the platform itself, these are not one-off. This feature is there to ensure that the store limit applies only to active stores and our Clients have maximum flexibility within those limits.
We though you meant creating a new store, but wanting to re-assign an existing store and it's data to it to maintain continuity in customer base. This is a more one-off operation, But we can handle these as well.