B2B Visitor Identification: A side-by-side comparison of Leadfeeder, Leadinfo, and SalesViewer

Test setup and methodology: same conditions, unequal start

To ensure objective comparability, the tracking scripts were run by SalesViewer, Leadinfo and Leadfeeder Parallel on the Publicare website for just under two weeks. The audit was based on a firmly defined catalog with criteria such as net recognition rate, identification accuracy (e.g. correct company name), functionality, ease of use, GDPR compliance and quality of CRM integration.

We noticed a significant difference right from the set-up stage. While SalesViewer and Leadinfo allow easy insight into the platform, Leadfeeder takes a restrictive approach: users are forced to install the tracking script before they even have access to the dashboard or user interface. This “black box hurdle” makes a non-binding exploration of software ergonomics much more difficult.

Quantity vs. quality: the elephant in the room

After completing the test period, the tools delivered a clear result at first glance. The nominal number of decrypted website visitors per solution:

• Leadfeeder: 171 detections
• Leadinfo: 159 detections
• SalesViewer: 94 detections

A look at the regional distribution reveals interesting differences: 85.1% of the organizations identified by SalesViewer come from the DACH region. This share is lower for Leadinfo (76.1%) and Leadfeeder (74.3%). Anyone who decides purely on the basis of the number of leads would now have to use lead feeder or lead info immediately. But our detailed manual analysis of each individual identification clearly puts this picture into perspective. It turns out that the ultimately usable number of recognized companies is significantly reduced when the validity and quality of the detections is checked.

If you first look only at the false identifications that we can verify through visual inspection — i.e. hits that, through simple research, turned out to be an Internet access service provider, a non-existent company or private person with a static IP address — the following picture emerges:

• Leadfeeder: 11% error rate (16 of 171 detections)
• Leadinfo: 15% error rate (21 of 159 detections)
• SalesViewer: 5% error rate (5 out of 94 detections)

The loneliness of data points: when algorithms exclude each other

The analysis of the forensic similarities between the tools is particularly insightful — and at the same time worrying. The data shows an astonishing discrepancy in identifying company visitors from the stream of website traffic. Of the total number of companies identified, only 35 companies were deciphered equally by all three test candidates.

The evaluation of Unique Recognitions (Visitors who were reported exclusively by a single tool) reveals the full extent of the statistical divergence:

• Lead info: 98 out of 159 recognized companies (61.6%) were unique identifiers without confirmation from the other tools.
• Leadfeeder: 92 out of 171 recognized companies (53.8%) were only listed here.
• SalesViewer: 26 out of 94 recognized companies (27.7%) were exclusive hits.

The divergence in direct reconciliation is particularly significant: Leadinfo and SalesViewer only found each other at eight other companies (five percent), while SalesViewer and Leadfeeder had 25 joint hits (approx. 26 percent) away from the core intersection. When three professional systems produce such different results on exactly the same database, this calls into question the fundamental reliability of the recognition technology. The question is whether the high number of unique identifiers in Leadinfo and Leadfeeder is actually based on superior technology or whether this is an unreliable overinterpretation of data fragments.

We investigated this question by thoroughly analyzing our web server's visitor log files and subjecting all IP addresses from the times of visit for which the three test candidates signaled identifications to a comprehensive Whois check in IANA's five regional Internet registries. In this way, we were able to find out

• Which IP addresses of supposedly decrypted visitors are in a dynamic IP address pool and are therefore impossible to be a B2B organization with a static IP;
• Which IP address has a geographical assignment that clearly does not correspond to the location of the alleged decrypted organization;
• Which IP addresses data center operators or cloud security companies such as Zscaler, Netskope or Palo Alto Networks identify, but not B2B organizations from which the actual Internet access may have originated.

If you add these “detections” identified by forensic examination, which are either incorrect or at least highly speculative, to the false identifications already identified through visual inspection, the result is a surprising overall picture of faulty hits:

• Lead feeder: 41% error rate (70 of 171 detections)
• Leadinfo: 51% error rate (81 of 159 detections)
• SalesViewer: 5% error rate (unchanged 5 out of 94 detections)

An empirical deep dive: the truth about detections in the home office

The entirety of our empirical findings prompted us to validate the problem once again in a controlled “clean room” test. We asked 18 Publicare employees to access two individually assigned, rarely visited blog posts from their home office via dynamic IP addresses at a specific time.

While SalesViewer correctly filtered out these targeted requests and did not decrypt them as a company visit, Leadinfo and Leadfeeder mistakenly assigned a total of six of these technically actually unresolvable accesses to existing companies.

• Leadfeeder — four false detections: An employee in Tecklenburg was deciphered as a special machine construction company in Lengerich. A colleague in Frankfurt was passed off as a one-person management consultancy in Düsseldorf, which has not been on the market for four years. A team member in Darmstadt was deciphered as a medium-sized management consultancy in Frankfurt. One of our software developers in Vienna was deciphered as an advertising agency based 7 km away.
• Leadinfo — two false detections: A colleague in Senftenberg appeared as an Italian provider of security systems in Faenza, more than 1,000 km away. An employee in Langensebold was issued as a one-person management consultancy in Selm, 240 km away.

This creates a fundamental doubt about the database of Leadfeeder and Leadinfo. When a non-negligible proportion of identifications demonstrably represent incorrect company assignments, trust in the remaining identified visitors and the entire system erodes. Even if a listed company actually exists, the question is: Is this recognition valid or just a random technical product? This uncertainty is poisoning the efficiency of sales teams, which must invest their scarce time effectively.

The fact that Leadfeeder particularly “stands out” in our test with four “ghost” detections from 18 home office visitors makes the advertising statement from the provider on its website (retrieved 8.3.2026) appear in a memorable light. In view of the controversial nature of the topic, we document them in full here:

”Can Leadfeeder also identify employees working from home? Yes! That sets us apart from our competitors. Leadfeeder can identify the companies of website visitors, even if employees work from home or remotely. When people work remotely, they usually use dynamic IP addresses that change hands frequently, making tracking difficult. However, our IP database is constantly updated from various sources to stay up to date when the owner of the IP addresses changes. In this way, we can also identify employees who do not work locally in the office. ”

More about Find out the forensics of website visitor recognition and the phenomenon of false and “ghost” detections here.

Confirmation of our results

Our findings on recognition rate and quality were obtained through a live comparative test between albacross, Leadinfo and SalesViewer confirmed by another medium-sized company — a provider of medium-sized industry software — in January 2026. The company has kindly shared the results with us. During this 14-day trial, Leadinfo recognized a total of 35 percent more website visitors than SalesViewer. Albacross achieved a nine percent higher recognition rate than SalesViewer. In each of the three solutions, those responsible for the test have meticulously assessed which findings are fundamentally uninteresting with regard to their business. If you subtract these detections, which are more than twice as many with Leadinfo as with SalesViewer and with Albacross one and a half times as many from SalesViewer, the picture changes: The remaining number of recognized, sales-relevant companies was 30 percent larger with SalesViewer than with Leadinfo and 24 percent larger than with Albacross.

The invisible hurdle: cookies, local storage and the TDDDG

The technical implementation of the three competitors reveals behind the scenes how differently they approach the issue of data protection. While SalesViewer has no alternative without cookies works and does not store any data on the visitor's device, Leadfeeder and Leadinfo provide for the storage of information via cookies or local storage when delivered.

Configurability in the standard setup is particularly critical. Without manual adjustments, Leadfeeder In default mode, a cookie immediately when a page is accessed, even before a user has the opportunity to give consent via a consent management system (CMP). The solution does allow you to deactivate the playback of cookies when you access the page via a switch in the settings. However, information on how to implement such a privacy-compliant setup without significant loss of recognition can only be found in the Help Center documentation. It describes a complex, multi-stage process using Google Tag Manager (GTM) or similar systems, in which specific custom HTML tags and triggers must be set up to set the cookie only after an explicit “consent event.” For marketers without a deeper technical understanding of tracking mechanisms, the implementation is therefore difficult to understand.

Auch Leadinfo offers the option to switch to “cookie-free tracking” (which technically means deactivating local storage), but this has a functional disadvantage: By not using local storage, anonymized video recording of visitor sessions is also deactivated.

The land of milk and honey promise: contact details for outbound campaigns

Another distinctive differentiator is the way in which personal data is provided. Leadinfo and Leadfeeder present lists of potential contacts directly in the details of the identified companies. For each company, a tab is displayed that lists employee profiles — including names, job titles, LinkedIn links and often email addresses or telephone numbers. Depending on the size and presence of the organization, this list can range from zero (for micro-enterprises) to several thousand contacts (for corporations). With the “Autopilot”, Leadinfo also offers the option of recording these contacts directly from the tool via automated trigger emails.

From a user's point of view, however, we must be careful here. From a purely legal point of view, manufacturers are not committing a direct competition infringement. The problem, however, lies in the impending “seduction” to illegal action:

1. Violation of UWG and GDPR: The solutions make it very easy for users to contact people directly via email or telephone without the necessary advertising consent (opt-in). In doing so, they create the risk of cold calling violations (§ 7 UWG) and illegal data processing (Art. 6 GDPR) by the user.
2. Strategic focus: SalesViewer does not provide personal data. This protects users from legal short-circuit reactions and instead promotes serious sales research and legally permissible contact. In practice, this is more likely to result in high-quality initial contacts than the indiscriminate “use” of purchased lists.

Detailed legal assessments of cookie handling and the handling of contacts in website visitor recognition can be found here.

Software ergonomics and workflow: single-line efficiency vs. three-column complexity

Working with the three solutions on a daily basis reveals fundamental differences in ergonomic orientation. This contrasts with two working principles:

The single-line principle: SalesViewer is optimized for maximum speed and “lead screening.” The user interface follows a lean but efficient single-line principle: Each recognized company is presented in a compact session line that already contains all relevant metadata (industry, origin, search term, length of visit). The salesperson can process the list like a checklist. Manual qualification takes place directly in the overview, without the user having to switch to sub-menus. The filtering is deliberately kept simple and focuses on the question: “What is new and hot today? ”.

The three-column layout: In contrast, Leadfeeder and Leadinfo rely on a three-column layout that is very reminiscent of email clients such as Outlook. On the left is the menu list, in the middle is the list of the most recently recognized companies and on the right, depending on the tab selection, the pages visited and the details of the companies and their contacts. This means that you absolutely have to click on a company and sometimes make several clicks in order to be able to see the actual “engagement” (which pages were visited and how intensively).

• Leadfeeder: The platform sees itself as a powerful “all-in-one” tool for sales intelligence. The system offers enormous depth, but often causes longer click paths. Segmentation via “custom feeds” is at the heart: Users can create granular filters (e.g. by industry, location and URL visited) and tag the selected leads indefinitely. However, data export can result in confusing dumps.
• Leadinfo: The user interface looks modern, but tends to flood data. One practical feature is automated tagging via “triggers.” Workflows can be mapped here that automatically set a keyword or push the lead into “autopilot” when certain criteria are met (e.g. visit to the pricing page).

Integrations: quantity vs. proven quality

An important part of our evaluation was the connection to the existing system landscape (CRM). There are significant differences in range here:

Quantitative: the number of interfaces

• Leadinfo According to its own statement, it offers over 67 integrations. From specialized niche CRMs to marketing automation tools, almost everything is covered.
• Leadfeeder offers a wide range of standard integrations (Salesforce, Pipedrive, HubSpot, Microsoft Dynamics 365, Slack, etc.)
• SalesViewer focuses on the “Big Three” (HubSpot, Salesforce, Pipedrive) and also offers Zapier integration and an API for individual solutions.

Qualitative: the load test

We have checked the quality of the integrations, in particular on the basis of Salesforce and HubSpot. Our assessment is based on three key factors:

1. Mapping depth: How cleanly are the data fields (industry, sales, website behavior) transferred to CRM? Here, all three tools impressed with their solid field assignments.
2. Synchronization stability: In our test, SalesViewer's data flows were the most stable, while Leadfeeder occasionally experienced delays in data push.
3. workflow logic: We have assessed whether the tool recognizes when a company already exists as a customer or open lead in CRM. SalesViewer and Leadinfo solve this very well with visual markers in the dashboard, which effectively prevents duplicates in sales.

Pricing and profitability: the hidden costs of quantity

The pricing of providers follows different philosophies and, on closer inspection, entails significant discrepancies, especially when you look beyond the pure basic fee.

SalesViewer: highest nominal fees, no hidden costs

SalesViewer divides its range of solutions into three functional editions (Pro, Premium, Individual).

Functional design: The editions scale with business needs. The Pro edition is intended for small volumes, while the Premium edition unlocks additional features such as video session recordings and native CRM integrations (e.g. Salesforce, HubSpot). The custom edition for large volumes also includes unlimited domains and premium Google Ads integrations.
Pricing structure (annual commitment vs. monthly commitment, as of March 2026):

• Pro (100 detections): 129 €/month per year (cancellable monthly: 169€)
• Premium (500 recognitions): 369 €/month per year (cancellable monthly: 469€)
• Individual (1,000 recognitions): 619 €/month per year (cancellable monthly: 779€)
• Individual (5,000 recognitions): 2,069.00 €/month per year (cancellable monthly: 2,589€).‍

Cost-benefit assessment: When looking at volume alone, SalesViewer is consistently the most expensive. However, the advantage lies in cost security: There are no hidden costs in the form of “credits” for data exports, no automatic compulsory upgrades when limits are exceeded, and no user restrictions.
Leadfeeder: the volume scaler with flexibility premium

Leadfeeder's price list for the “Web Visitors” module is structured in fine-grained volume bands and benefits significantly economically from economies of scale as traffic increases.
Functional design: In contrast to competitors, Leadfeeder offers an inclusive approach: CRM integrations (including Salesforce) and unlimited automations are included as standard in all paid “Web Visitors” module packages.

pricing structure (Excerpt from annual commitment vs. monthly commitment, as of March 2026):

• 51 - 100 companies: 119 €/month per year (cancellable monthly: 170€)
• 401 - 700 companies: 299 €/month per year (cancellable monthly: 428€)
• 701 - 1,000 companies: 329 €/month per year (cancellable monthly: 471€)
• 3,001 - 5,000 companies: 509 €/month per year (cancellable monthly: 728€)

Cost-benefit assessment: Leadfeeder offers very favorable pricing in the medium and high volume segment (e.g. from 1,000 leads) with CPRs of 0.33€ down to 0.10€. The catch is the significant flexibility premium: Anyone who wants to be able to cancel on a monthly basis sometimes pays over 40 percent more.

Leadinfo: cheap start, high integration and add-on prices

Leadinfo structures its pricing into three clearly separated editions: Starter, Scale and Pro. The costs here scale not only based on lead volume, but above all through functional differences.
Functional design: The basic Starter package offers the essential functions for working manually with decrypted website visitors. The number of users as well as internal automations (e.g. for tagging) and email reports with a CSV list is limited to three with “Starter” (scale: ten). Video recording, automated tagging after customer data reconciliation and differentiated user rights require at least “scale”. This also applies to Hubspot, MS Dynamics 365, Zapier and Make integration. Marketo and Salesforce can only be connected in a large “Pro” package. If you want to export the visit history as a “data dump” or have a dedicated contact person, you must also choose “Pro” — even if the recognition volume on your own website is only low.

pricing structure (Excerpt from annual commitment vs. monthly commitment, as of March 2026):

• 51 - 100 leads: Starter: 99 €/month per year (cancellable monthly: 129€)
• 251 - 500 leads: Scale: 209 €/month per year (cancellable monthly: 279€) | Pro: 359 €/month per year (cancellable monthly: 469€)
• 751 - 1,000 leads: Scale: 309 €/month per year (cancellable monthly: 409€) | Pro: 429 €/month per year (cancellable monthly: 559€)
• 4,001 - 5,000 leads: Scale: 539 €/month per year (cancellable monthly: 709€) | Pro: 889 €/month per year (cancellable monthly: 1,159€)
• Additional costs (add-ons): Anyone who wants to use Leadinfo as an automation machine pays a significant additional charge per user (“per seat”). The Autopilot feature costs an additional 39€ (Starter), 59€ (Scale) or 79€ (Pro) per month and user.

Cost-benefit assessment: For SMEs with “simple” CRMs (e.g. HubSpot, from the “scale” version) and low to medium recognition volumes, Leadinfo appears as a price leader. However, as soon as Salesforce integration or more than 10 user accounts or automations are required, the picture changes.

Cost per Recognition (CPR) Matrix

In order to establish a reliable comparability of enterprise capabilities, the following matrix compares SalesViewer (Premium/Individual) with Leadfeeder and the Leadinfo Pro package (as a prerequisite for Salesforce/Enterprise use) when the contract is signed annually:

Note: With Leadfeeder, the package price of 299€ was divided by 500 for 500 detections in order to calculate the effective unit price for this usage quantity.

The bottom line: the true costs per usable lead

If the quantitative-functional cost-benefit comparison based on nominal package prices is supplemented by the qualitative dimension — the overall rate of technical misconceptions and sales unusable hits — the picture changes in the effective costs per usable lead (effective CPR). Adjusted for the empirically determined summary error rate of 41% for Leadfeeder, 51% for Leadinfo and 5% for SalesViewer, the following real recognition prices can be estimated using the 1,000-year package as an example:

• Lead feeder: The nominally cheapest CPR of 0.33€ rises in fact to 0.56€ due to 41% of useless detections.
• Lead info: With an error rate of 51%, the effective costs for genuine recognition in the scale package double from a nominal 0.43€ to an expensive 0.88€.
• SalesViewer: Due to the low error rate of 5%, the effective costs for genuine recognition in an individual package rise only marginally from 0.62€ to 0.65€ in nominal terms.

Statistically speaking, the alleged price advantage of cheaper providers melts away when taking data quality into account. With Leadinfo, the initial pricing is actually the opposite: An actually usable recognition is significantly more expensive here than with the nominally most expensive provider SalesViewer. In general, companies must purchase approximately twice as large (and correspondingly more expensive) license volumes from Leadfeeder and Leadinfo just to compensate for the high error rates. In the overall calculation — especially when you take into account the wasted sales working time for lead qualification from non-real findings — in our opinion, SalesViewer continues to offer the most reliable and efficient investment despite the higher entry price.

Overall conclusion: Who will win the 2026 comparative test?

Our two-week empirical benchmark gives us a clear picture, especially for companies with a focus on the DACH region. The decision for the right B2B visitor recognition must not depend on the mere quantity of visitors identified, but must consider the entire process chain. Here's our review:

1. data quality: SalesViewer is the undisputed winner here. With an error rate of just 5% compared to 41% and 51% among its competitors, the solution provides the most reliable basis for sales. With Leadfeeder and Leadinfo, the figures are increasing due to technically incorrect and qualitatively useless detections.
2. Legal certainty and technology: scores points for not using cookies and local storage. By using Leadfeeder and Leadinfo, users may increase their legal risk through an unintentional cookie wall bypass (Leadfeeder) or the temptation to be able to carry out automated contact requests without advertising consent (Leadinfo).
3. Workflow & ease of use: If you're looking for efficiency, SalesViewer's single-line approach is the best tool. Leadfeeder is more suitable for sales intelligence specialists who have time for complex segmentations.
4. Integrations: Leadinfo advertises a large number of ready-made integrations. However, SalesViewer offers the best quality connection to the relevant “large” B2B CRM systems.

Final recommendation: If you are looking for a solution that “simply works”, is legally secure and does not mislead sales with ghost leads, we still recommend SalesViewer. Although Leadfeeder (Dealfront) and Leadinfo offer exciting additional features and high nominal recognition rates at formally low prices, in our opinion they do not focus enough on providing valid, sales-useful company identifications.

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