Datanyze

Name: Datanyze
Brand: Datanyze
Rating: 4 (531 reviews)

Find and connect with B2B sales prospects within minutes using affordable, accurate contact information from Datanyze.

Est 2012|Valuation $11.8M|Raised $1.8M|40 Ref Customers

LinkedIn 3K|Web traffic 1.1M|FTEs 18|HQ Durham, North Carolina, US

MarketsList Building & Enrichment

Published Oct 15, 2026

01Common complaints

- Enterprise compliance requirements: if procurement requires SOC 2/ISO documentation scoped to the specific product, Datanyze’s public materials may be insufficient. - High-volume outbound: for thousands of reveals per month, the credit model may be less economical than alternative enterprise agreements or bulk enrichment approaches. - Teams sensitive to support risk: reviews repeatedly cite unresponsive support for login, billing, and cancellation issues; organizations that require reliable vendor support should consider alternatives with stronger support reputations. - Non-Chrome environments: Datanyze is explicitly Chrome-only. - If integrated outreach automation is required: platforms that combine data and engagement capabilities (e.g., Apollo.io) may be more efficient.

Deal disqualifiers (poor fit)

Requirement for documented enterprise support SLAs and rapid human response
Need for broad international coverage (several reviewers cite regional gaps)
Requirement for published, product-scoped security certifications and detailed trust documentation for vendor risk review

Vendor-acknowledged limitations

Browser support: Datanyze is only available on Google Chrome.

Review-identified limitations

Support and account access problems (login verification, email changes, lack of timely responses)
Inaccurate or outdated records for certain users and segments
Credit consumption confusion and perceived overcharging
Cancellation and subscription management frustrations reported in multiple reviews

Roadmap visibility

Datanyze public materials reviewed do not provide a detailed product roadmap with dated deliverables.

02Why they buy

Unique selling points supported by evidence

Extension-first workflow: reviewers consistently cite the convenience of in-context contact reveals while browsing LinkedIn and websites.
Trial period: Datanyze advertises a 90-day trial period that can be used for evaluation without entering payment details in some sign-up flows.

Claims that need verification

Claims of superior database robustness and accuracy should be validated through a pilot. Public review evidence is mixed; some users report high accuracy rates while others report substantial inaccuracies.
Buyers should pilot the product against their own target lists and measure bounce rates and connect rates before making a larger commitment.

Areas where competitors have advantages

All-in-one GTM workflows and engagement tooling (example: Apollo)
Published enterprise governance and trust documentation (example: ZoomInfo)
Potentially broader international coverage, depending on vendor and region

03Field reports

Review-platform sentiment snapshot

G2: well rated on G2 with mixed feedback emphasizing ease-of-use alongside support and account-access complaints.
Capterra: moderately rated on Capterra with common complaints about data accuracy and customer support/billing frustrations.
Trustpilot: limited review volume, with several negative entries focused on cancellation, support, and renewal issues.

Direct quotes (positive and negative)

Positive (G2): - "User interface is very good… data accuracy for me has been consistently strong… Chrome extension works very well." Negative (G2): - "PLEASE STAY AWAY FROM THESE SCAMMERS" and describes inability to log in after phone verification plus "NO RESPONSE" from customer service. Positive (Capterra): - "Very good tool at reading what tech a website is using." Negative (Capterra): - "Wrong data… it was inaccurate… They clearly verify zero information." Negative (Capterra – support/billing): - "No customer support… paid for a yearly subscription… sourced leads and now it says I have to buy more credits… NO response." Negative (Trustpilot): - "DO NOT use this platform… not been working for months… customer assistance… Crickets!!!! … auto renewed…"

Common reasons customers chose Datanyze

Chrome/LinkedIn workflow: immediate contact reveals during prospecting
Lower initial cost compared with enterprise databases
Technographic and website intelligence as a prospecting trigger (historically)

Common reasons customers left / churn drivers

Support responsiveness problems (slow or no replies)
Login and access issues (verification or account changes)
Data accuracy concerns (outdated or incorrect contacts)
Subscription and cancellation friction (complaints about auto-renewal and difficulty canceling)

Vendor-published proof points and their limitations

Datanyze publishes database-scale metrics claiming millions of direct dials, email addresses, and people. The methodology for these counts (unique vs. total records, freshness, validation method, geography) is not fully disclosed in public marketing excerpts. Critical evaluation: - Public review evidence shows variance in perceived accuracy, which suggests that database size alone does not guarantee relevance or accuracy for every buyer segment. - Prospective purchasers should pilot the product using their own target lists and measure match rates and bounce/connect rates.

Acquisition-era technographics case framing (historical)

Press coverage of Datanyze’s acquisition activity framed the product as helping sales teams identify leads by tracking which sites adopt or drop specific technologies and market share changes. Critical evaluation: - This positioning is coherent for selling software based on installed-tech signals. - Buyers should confirm whether the current product emphasis is more on contact discovery versus deep technographic intelligence and compare Datanyze to specialized technographics providers when that capability is required.

04Best fit

Company sizes

Small team (individual SDRs, founders conducting outbound, recruiters)
Mid-sized team (small sales teams needing a lower-cost supplement to CRM)

Industries / verticals

Better fit where LinkedIn prospecting is central and U.S.-centric outreach is acceptable
Historically aligned with B2B technology and online businesses (given technographic origins)

Roles and personas

Decision makers: Head of Sales / Sales Operations in SMB, Recruiting Lead
End users: SDRs, BDRs, AEs engaged in prospecting, sourcers

Qualification criteria (good fit)

The organization primarily uses Chrome and LinkedIn as the main workflow
The team can tolerate manual verification of some contact records
Monthly reveal volume is modest such that credits do not escalate rapidly

05The pitch

What the product does (objective core value proposition)

Datanyze is a B2B prospecting and sales intelligence tool centered around a Google Chrome extension that surfaces business contact data (emails and direct-dial phone numbers) and company details while users browse the web—particularly LinkedIn. It provides technographic and firmographic context for prospecting, including brief contextual signals sourced from social and news feeds. Datanyze’s help documentation describes it primarily as a Chrome extension that provides B2B contact information from sites like LinkedIn, supported by machine learning combined with human verification and third-party sources.

Target market and market positioning

**Primary target users:** - SDRs/BDRs and individual sales representatives prospecting on LinkedIn - Recruiters who require direct outreach contact details - Small teams seeking a lower-cost contact-discovery tool rather than a full enterprise go-to-market platform **Positioning:** - Positioned as a lower-cost, extension-based contact-reveal tool - Offers a credits-based consumption model intended for individual prospecting workflows - Commonly evaluated alongside other contact-finding browser-extension tools (e.g., Lusha, RocketReach)

Get a comprehensive analysis of Datanyze including market position, competitive landscape, adoption trends, and peer benchmarks.

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Published Oct 15, 2026

01Common complaints

Enterprise compliance requirements: if procurement requires SOC 2/ISO documentation scoped to the specific product, Datanyze’s public materials may be insufficient.
High-volume outbound: for thousands of reveals per month, the credit model may be less economical than alternative enterprise agreements or bulk enrichment approaches.
Teams sensitive to support risk: reviews repeatedly cite unresponsive support for login, billing, and cancellation issues; organizations that require reliable vendor support should consider alternatives with stronger support reputations.
Non-Chrome environments: Datanyze is explicitly Chrome-only.
If integrated outreach automation is required: platforms that combine data and engagement capabilities (e.g., Apollo.io) may be more efficient.

Deal disqualifiers (poor fit)

Requirement for documented enterprise support SLAs and rapid human response
Need for broad international coverage (several reviewers cite regional gaps)
Requirement for published, product-scoped security certifications and detailed trust documentation for vendor risk review

Vendor-acknowledged limitations

Browser support: Datanyze is only available on Google Chrome.

Review-identified limitations

Support and account access problems (login verification, email changes, lack of timely responses)
Inaccurate or outdated records for certain users and segments
Credit consumption confusion and perceived overcharging
Cancellation and subscription management frustrations reported in multiple reviews

Roadmap visibility

Datanyze public materials reviewed do not provide a detailed product roadmap with dated deliverables.

02Why they buy

Unique selling points supported by evidence

Extension-first workflow: reviewers consistently cite the convenience of in-context contact reveals while browsing LinkedIn and websites.
Trial period: Datanyze advertises a 90-day trial period that can be used for evaluation without entering payment details in some sign-up flows.

Claims that need verification

Claims of superior database robustness and accuracy should be validated through a pilot. Public review evidence is mixed; some users report high accuracy rates while others report substantial inaccuracies.
Buyers should pilot the product against their own target lists and measure bounce rates and connect rates before making a larger commitment.

Areas where competitors have advantages

All-in-one GTM workflows and engagement tooling (example: Apollo)
Published enterprise governance and trust documentation (example: ZoomInfo)
Potentially broader international coverage, depending on vendor and region

03Field reports

Review-platform sentiment snapshot

G2: well rated on G2 with mixed feedback emphasizing ease-of-use alongside support and account-access complaints.
Capterra: moderately rated on Capterra with common complaints about data accuracy and customer support/billing frustrations.
Trustpilot: limited review volume, with several negative entries focused on cancellation, support, and renewal issues.

Direct quotes (positive and negative)

Positive (G2):

"User interface is very good… data accuracy for me has been consistently strong… Chrome extension works very well."

Negative (G2):

"PLEASE STAY AWAY FROM THESE SCAMMERS" and describes inability to log in after phone verification plus "NO RESPONSE" from customer service.

Positive (Capterra):

"Very good tool at reading what tech a website is using."

Negative (Capterra):

"Wrong data… it was inaccurate… They clearly verify zero information."

Negative (Capterra – support/billing):

"No customer support… paid for a yearly subscription… sourced leads and now it says I have to buy more credits… NO response."

Negative (Trustpilot):

"DO NOT use this platform… not been working for months… customer assistance… Crickets!!!! … auto renewed…"

Common reasons customers chose Datanyze

Chrome/LinkedIn workflow: immediate contact reveals during prospecting
Lower initial cost compared with enterprise databases
Technographic and website intelligence as a prospecting trigger (historically)

Common reasons customers left / churn drivers

Support responsiveness problems (slow or no replies)
Login and access issues (verification or account changes)
Data accuracy concerns (outdated or incorrect contacts)
Subscription and cancellation friction (complaints about auto-renewal and difficulty canceling)

Vendor-published proof points and their limitations

Critical evaluation:

Public review evidence shows variance in perceived accuracy, which suggests that database size alone does not guarantee relevance or accuracy for every buyer segment.
Prospective purchasers should pilot the product using their own target lists and measure match rates and bounce/connect rates.

Acquisition-era technographics case framing (historical)

Press coverage of Datanyze’s acquisition activity framed the product as helping sales teams identify leads by tracking which sites adopt or drop specific technologies and market share changes.

Critical evaluation:

This positioning is coherent for selling software based on installed-tech signals.
Buyers should confirm whether the current product emphasis is more on contact discovery versus deep technographic intelligence and compare Datanyze to specialized technographics providers when that capability is required.

04Best fit

Company sizes

Small team (individual SDRs, founders conducting outbound, recruiters)
Mid-sized team (small sales teams needing a lower-cost supplement to CRM)

Industries / verticals

Better fit where LinkedIn prospecting is central and U.S.-centric outreach is acceptable
Historically aligned with B2B technology and online businesses (given technographic origins)

Roles and personas

Decision makers: Head of Sales / Sales Operations in SMB, Recruiting Lead
End users: SDRs, BDRs, AEs engaged in prospecting, sourcers

Qualification criteria (good fit)

The organization primarily uses Chrome and LinkedIn as the main workflow
The team can tolerate manual verification of some contact records
Monthly reveal volume is modest such that credits do not escalate rapidly

05The pitch

What the product does (objective core value proposition)

Datanyze’s help documentation describes it primarily as a Chrome extension that provides B2B contact information from sites like LinkedIn, supported by machine learning combined with human verification and third-party sources.

Target market and market positioning

Primary target users:

SDRs/BDRs and individual sales representatives prospecting on LinkedIn
Recruiters who require direct outreach contact details
Small teams seeking a lower-cost contact-discovery tool rather than a full enterprise go-to-market platform

Positioning:

Positioned as a lower-cost, extension-based contact-reveal tool
Offers a credits-based consumption model intended for individual prospecting workflows
Commonly evaluated alongside other contact-finding browser-extension tools (e.g., Lusha, RocketReach)

Get a comprehensive analysis of Datanyze including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →