Tables

Tables

Tables is a lead data platform for cold outbound: it helps you search out target decision-makers in natural language, fill in verified email addresses and phone numbers, then have AI conduct research one by one and score them according to ICP, and finally sync them to CRMs such as HubSpot, Attio, and Close according to your rules.

AI Marketing Tools#Outbound Leads#Phone verification#CRM Sync

Updated: 2026-10-26

What is Tables?

Tables is a lead data tool designed for cold calling outreach. Its official website directly states the title "Cold Calling Data | Verified Mobile Numbers for B2B", focusing on finding decision-makers worth contacting and obtaining verified mobile numbers. The difference between it and traditional sales intelligence databases lies in integrating lead research, data enrichment, AI research, and CRM synchronization into a single workflow: first, describe your ideal customers in natural language to let AI search for a list, then enrich and verify contact information and answer your concerned questions one by one, and finally push to CRM according to your rules. The official website claims it can search over 600 million profiles (from more than 900 million collection records), support over 30 filtering criteria, and have more than 125 million verified mobile numbers.

Who is it for?

  • B2B sales and SDR teams that acquire customers through cold calling
  • Growth managers who need to score by ICP and standardize research questions
  • Sales operations teams who already use a CRM and want leads to be directly added to the database after their data is completed
  • Teams whose main market is in Europe and need GDPR-compliant data sources

Key features

5
1

AI Search

Describe your target customer in a single natural language sentence. The example on the official website is "SaaS founders who raised funding in Northern Europe last year". It claims to return matching leads within minutes and assign scores based on ICP.

2

Custom Output Fields

Configure scores, dropdowns, and yes/no fields yourself. The official website states that each answer comes with a reasoning process and source. An example is determining from the other party's recruitment page that they are hiring 3 SDRs.

3

Enrichment & Verification

Fill leads with verified email addresses and phone numbers. The official site states that each record undergoes five checks before appearing in search results, boasting a 98% accuracy rate and a 30% connection rate.

4

CRM Integration

Connects with HubSpot, Pipedrive, Attio, Zoho, and Close, supporting one-click export of the entire list or selective push after individual selection.

5

On-the-go Discovery

The Chrome extension displays verified email addresses and phone numbers directly when browsing LinkedIn personal profiles, allowing you to add them to your list or push them to your CRM with one click; there is also a Claude MCP integration for use in agent workflows.

How to use Tables

  • First, use the free credits to run a narrow-scoped list (region + job title + industry), verify the hit rate of mobile numbers and email addresses, and then decide whether to scale up.
  • Set the custom output fields to the questions you actually ask during cold calls.
  • the official website states that each answer comes with a reasoning process and source, which can be directly used as preparation before making a call.
  • Cold calling and personal contact information are subject to strict regulatory requirements: different regions have varying rules for telemarketing, call recording, opt-outs, and personal data storage (e.g., the EU's GDPR and the US TCPA).
  • Always comply with local laws and platform regulations, and ensure you have legal authority and an opt-out mechanism in place before making any calls.
  • When using the Chrome extension to get numbers on LinkedIn, comply with the platform's terms of service and do not use it as a means to bypass the platform's rules.
  • Set up deduplication and field mapping on the CRM side before synchronization to avoid importing duplicate contacts into the master database.

Traffic & popularity

Data month Sep 2026

Tables receives about 28.2K visits per month and ranks #800,111 worldwide.

Monthly visits
28.2K
▲ 404.7% vs last month
▲ 630.5% vs 3 mo. ago
Global rank
#800,111
of all websites
Bounce rate
33.9%
leave after one page
Avg. duration
0:47
per visit
Pages / visit
2.02
per visit
Country rank
#126,550
in its top market

Monthly visits

10 months
100.0K75.0K50.0K25.0K0
Dec 2025May 2026Sep 2026

Traffic sources

  • Direct40.4%
  • Search33.8%
  • Referrals10.3%
  • Social6.4%
  • Mail3.0%
  • Other6.2%

Top countries

  • United States42.4%
  • Denmark33.1%
  • United Kingdom13.9%
  • India10.7%

Estimated from third-party traffic data.

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Tables
28.2K · #800,111
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