BuiltWith tracks technology signals found on public websites. It doesn't count every company, CRM seat, employee, or decision-maker using SugarCRM. Its current SugarCRM technology report answers a much narrower question.
That difference matters when reviewing a SugarCRM user dataset. One company may run several domains. Another may use SugarCRM behind a login. Some companies may leave few public signs of the software they use.
A company may also have many employees tied to one CRM deployment. Before comparing 2 SugarCRM figures, buyers need to know what each record means and how the data was collected.
Start by checking what the number actually counts
A website count and a contact count measure different things. BuiltWith says it detects technology by reading signals found on public websites. Its crawler does not log into private systems or restricted pages.
That makes its data useful for finding visible technology use. It also means some SugarCRM use may not appear in the dataset. The BuiltWith detection explanation explains how its system identifies technologies from public website signals.
A contact database works differently. IInfotanks currently lists 975,000 contacts in its broader SugarCRM dataset on its CRM users page. That figure can't be compared directly with 1,703 detected websites because the 2 sources count different units.
For a team reviewing a Sugarcrm users email list, the key question isn't only how large the list is. Buyers should ask what 1 record represents and what evidence links that record to SugarCRM use.
Source ownership affects what a figure can prove
Data is easier to judge when you know who owns it. BuiltWith maintains its own technology-detection dataset. SugarCRM publishes its own customer case studies. IInfotanks manages the business contact data it offers to buyers.
Each source can best explain the data it creates. SugarCRM's own case-study library includes examples involving Tetley, Materion, Kreato, Barnardos Australia, BIG, and other organizations. Its customer case-study collection confirms that these organizations have used SugarCRM products.
Those case studies don't provide a full count of every SugarCRM customer. They show selected examples. A case study can confirm a named customer, but it can't be used as a full market census.
The same rule applies to other sources. A technology crawler shows public technical signals. A contact provider supplies company and person-level records. One source shouldn't be treated as if it measures the same thing as another.
Collection method changes what the data can include
BuiltWith says its crawler infrastructure makes 8.1 billion GET requests each month. It also says it scans more than 35 million domains per day and runs crawler nodes across 4 cities. Its data coverage page explains how this web technology data is gathered.
Those numbers show the size of the collection process. They don't remove the limits of the method. A crawler can only detect what is visible through the signals it checks.
A business contact provider has a different task. It has to connect a company with SugarCRM use. It then has to identify relevant contacts and check their business details.
The IInfotanks page describes steps such as manual review, mailbox checks, duplicate removal, role checks, and recurring record reviews. These steps matter because contact data can become outdated when people change jobs, companies, or roles.
Teams that want to buy Sugarcrm customers list data should ask how the records were built. They should also ask how companies were identified, how contacts were matched to those companies, and when the records were last checked.
Geography and time period can change the final count
Geography can make 2 valid figures look very different. The IInfotanks CRM users page describes its 975,000-contact SugarCRM figure as covering SugarCRM customers across the US.
Another source may track websites across many countries. It may also focus on a certain market segment or only on domains that its crawler can detect. Those numbers shouldn't be compared unless the geographic scope is similar.
Time creates the same issue. BuiltWith separates current detections from historical ones. Its report shows 1,703 websites in the current dataset and 6,677 when historical SugarCRM detections are included.
That difference matters for prospecting. A company that used SugarCRM several years ago may no longer use it today. Historical data can still be useful, but it shouldn't be treated as proof of current use.
A companies using Sugarcrm contact database should therefore be checked for current technology status, record age, contact recency, and geographic coverage before campaign size is estimated.
Definitions and exclusions matter before vendor comparisons
The word "user" can mean several things. It may refer to a company, website, software installation, licensed seat, employee, or contact linked to an organization.
This is why 2 accurate sources can show very different totals. They may be measuring different units.
BuiltWith gives a good example. One filtered report identifies 141 current SugarCRM customers with more than $1,000 in estimated technology spend. That figure is much smaller than its general SugarCRM count because the report adds another filter.
The filtered SugarCRM report isn't contradicting the larger dataset. It is showing a smaller group that meets a specific condition.
Before buying contact data, ask how the provider defines a SugarCRM user, active company, and verified contact. Buyers should also check whether the data includes former users, duplicate domains, generic addresses, subsidiaries, or unreachable mailboxes.
Judge the database by the decision you need to make
A useful database should fit the purpose of the campaign. A company selling SugarCRM consulting may want businesses that currently use the platform. An integration provider may need IT contacts at those businesses.
A training provider may need CRM administrators or operations managers instead. Those needs are different, even when all 3 buyers are interested in SugarCRM users.
IInfotanks' broader CRM users email list shows how CRM contact data can be grouped by technology, role, company size, industry, and region.
Those fields matter because a raw technology signal has limited value on its own. It becomes more useful when the buyer can connect it to the right company and the right contact.
The final check is simple. Define the unit you need first. Then confirm the source, collection method, geography, age, and exclusions. A number is useful only when those details match the decision you need to make.
Frequently asked questions
How many companies use SugarCRM?
There is no single public figure that can safely be treated as the full number of SugarCRM companies. BuiltWith currently reports 1,703 detected websites and 6,677 historical detections. Those figures describe websites, not a complete customer census.
A useful company count should also state its date, geography, collection method, and definition of an active SugarCRM user.
Why can a contact database have more recor