Bloomberry vs BuiltWith

1. Technology Coverage: Web vs. Non-Web

BuiltWith specializes in frontend and web technologies. If you're looking for companies using Shopify or WordPress, or sites carrying a Facebook ad pixel, BuiltWith is excellent for that. But if you need data on software that never touches a public website, coverage drops off sharply. For example, searching for customers of Acumatica (an ERP) returns a single result: a content management system listed as "MYOB Acumatica", with 8 live websites.

This is where Bloomberry is built differently. We cover 1,700+ products across 190 categories, including ERPs and other backend B2B software. For Acumatica specifically, we have data on over 1,000 companies using it, plus those that recently churned or have a renewal approaching.

2. Automated Alerts for Sales Triggers

Knowing that a company uses a technology is useful. Knowing the moment they adopt it, churn from it, or approach renewal is what creates a reason to reach out.

Bloomberry's Alerts feature sends notifications to your email or Slack channel whenever:

• A new customer signs up for a product you're tracking (useful for competitive displacement or partner outreach)
• A company churns from a product (timing to offer your alternative)
• A renewal is approaching (reach out before the auto-renew locks the budget)

BuiltWith has no alerting system. You'd need to check manually, or export their data repeatedly and diff it yourself.

Example Bloomberry Alert

3. How Each Product Detects Adoption

BuiltWith detects a product when its tracking script or tag appears on a public website. That's a narrow window: most companies start using software long before they add any script to their site, and for a large share of B2B products - an ERP, an HRIS, a security tool - no script ever appears at all.

Bloomberry reads infrastructure signals - what a company sets up when it buys software. Concretely: new subdomains, DNS records, certificate transparency logs, and signals specific to how each individual product gets deployed. We crawl websites too, but we go further than checking whether a tag exists - we read the configuration inside script files and check whether they still return a working response. We've built a separate detector for each of the 1,700+ products we cover, so we know what that product looks like when it's set up, and we can confirm when it's gone.

Some of those traces only appear on a genuine rollout. Deploying an AI assistant or an ERP across an organization usually means verifying a domain for single sign-on or updating email records - public changes that a single seat or a free trial never produces. So an adoption we report generally reflects a real organizational deployment, not one employee signing up.

The practical effect: we typically see adoption 2-3 months before a tracking script would reveal it, and we catch companies whose stack a script-based approach never sees. As one example checked in October 2025, Eightfold began using Gainsight in September 2025 - Bloomberry recorded the adoption on September 18th, while BuiltWith had not detected it.

4. Churn Detection Accuracy

This is the difference most likely to burn you in practice. BuiltWith infers churn from a script disappearing. But companies frequently cancel a subscription and leave the tag on their site, so the account still reads as active. Open the browser network tab and you'll see the script failing to load - the distinction between "tag present" and "actually working" isn't captured.

Bloomberry verifies the endpoint is genuinely dead before reporting churn. That also means the reverse mistake doesn't happen: a site redesign that removes a tag isn't reported as a lost customer. It's why our churn signals take 1-2 weeks rather than appearing instantly - we'd rather be slightly slower than send you a false churn event.

The screenshots below show a case checked in October 2025: a company whose Intercom tag was still present on the page, but returning errors with no widget rendering anywhere on the site. BuiltWith listed them as an active Intercom user. Bloomberry had recorded the churn on October 1, 2025.

5. Data Freshness

BuiltWith's updates can lag, particularly for companies that change their stack often. If BuiltWith tells you a company uses a technology, that may have been true months ago.

This is a consequence of their model: crawling as many sites as possible means you can't revisit any individual site frequently. Bloomberry prioritizes freshness over raw volume, concentrating on companies with a higher likelihood of adopting business software rather than treating every domain on the internet equally. As one example checked in October 2025, we recorded coforge.com adopting Segment on October 15, 2025, while BuiltWith had not yet detected it.

6. Coverage of Emerging Technologies

Newer vendors take a long time to appear in a crawl-everything index, because adding them requires the generic detection method to happen to catch them. Because each Bloomberry product gets its own detector, we can cover a tool shortly after it launches. At the time of writing, BuiltWith had no data on companies using Unify, despite the company having raised venture funding and serving hundreds of paying customers. Bloomberry tracks 20-30 new Unify sign-ups per month, and covers other recent GTM tools such as RB2B and Warmly on the same basis.

7. Where BuiltWith Wins

BuiltWith has been operating since 2007 and its catalog is far larger than ours - tens of thousands of internet technologies across hundreds of millions of websites. If you want every Shopify store in a given country, or ten years of CMS market share history, or ad pixel data at internet scale, BuiltWith is the better tool and it isn't close.

We also have gaps worth knowing about. Our coverage is thinner in some niches, edtech most notably. We provide company-level signals only, with no contact data for the individuals behind a purchase. And our churn signals intentionally lag adoption signals by 1-2 weeks because we validate them first.

Can Bloomberry replace BuiltWith?

It depends on your use case. If you need a large static list of websites running a web technology like a CMS or an advertising pixel, and freshness isn't critical, BuiltWith remains the market leader on breadth and history. If you need broader B2B technology coverage including backend products, plus real-time purchase and churn signals with dates attached, Bloomberry is the better fit.

Does Bloomberry track web technologies too?

Yes. We track advertising platforms (Facebook, Reddit), martech (HubSpot, Optimizely, VWO) and ecommerce tools (Shopify, BigCommerce). Our differentiation is covering the full B2B tech stack, including non-web products like CRMs, ERPs, cybersecurity tools and devops platforms that never appear on a company's website.

How does Bloomberry detect purchase and churn events?

Bloomberry reads infrastructure signals - what a company sets up when it buys software: new subdomains, DNS records, certificate transparency logs, and signals specific to how each individual product gets deployed. We build a separate detector for each product we cover, so we know what that product looks like when it's set up, and we can confirm when it's gone. Purchase signals typically appear within 3 days; churn signals take 1-2 weeks because we validate them before reporting. We don't use job postings, case studies or product reviews.

Why does Bloomberry cover fewer products than BuiltWith?

Because each product gets its own detection method rather than one generic check applied to everything. Large catalogs reach tens of thousands of entries by counting every JavaScript library, tag and framework on the internet, most of which nobody sells against. We cover the 1,700+ B2B products GTM teams actually build territory and displacement plays around, and for each one we report when a company started or stopped paying. If there's a product you need that we don't cover, tell us and we'll usually add it.

Is Bloomberry more expensive than BuiltWith?

You can start with a free trial, no credit card required. Published plans start at $199 per month for app or API access - see our pricing page for details. Custom plans are available for platforms integrating our data into their own products.