Who Makes Such Claims and What's the Reality

A widely recognized collection for machine learning tasks.
Post Reply
chandonarani55
Posts: 302
Joined: Thu May 22, 2025 5:28 am

Who Makes Such Claims and What's the Reality

Post by chandonarani55 »

Reputable B2B data providers (like Cognism, UpLead, ZoomInfo) often offer accuracy guarantees for their data, sometimes as high as 95% or 97% for specific fields like direct dials. They achieve this through rigorous verification processes (AI, human verification, real-time lookups).
If a general "database" claims 100% accuracy, it's a red flag.
Verification Methods are Sophisticated:

HLR (Home Location Register) Lookups: These query mobile network kenya phone number list databases in real-time to determine if a number is active, if it's ported, what carrier it belongs to, and if it's a mobile or landline.

Carrier Lookups: Identify the mobile carrier associated with the number.
Phone Type Detection: Differentiates between mobile, landline, and VoIP numbers.
Risk Analysis: Some services assess the risk associated with a number (e.g., linked to fraud).
AI and Machine Learning: Used to process vast amounts of data and identify patterns, predict number validity, and automate verification.
Human Verification: Especially for B2B direct dials, some top providers employ human teams to call and verify numbers.


mobile numbers for business professionals. They invest heavily in data quality, constantly update their databases, and often provide accuracy guarantees. Examples include Cognism (known for "Diamond Data" - 87% accurate phone-verified cell numbers), ZoomInfo, UpLead, Apollo.io, Seamless.AI, Lusha, and RocketReach. They typically focus on providing direct dials and professional mobile numbers for targeted sales outreach, often within a subscription model. They also emphasize compliance (GDPR, CCPA, DNC list scrubbing).
Post Reply