Resources Hub

Learn what signal-based selling is and what GTM data infrastructure your revenue team needs to execute it at scale.

Article

How Do You Calculate Match Rate on B2B Data?

Your CRM has thousands of records. Your marketing automation platform is loaded with contacts. Your outbound sequences are running. But when you try to enrich those records, route leads to sales, or fire a signal-based workflow, a large portion of your data simply does not match.


Match rate is the metric that tells you how much of your data is actually usable. For revenue teams running enrichment programs, account-based campaigns, or automated scoring, this number carries real operational weight. A low match rate means your workflows are running on incomplete information, your segments are thin, and your automation is making decisions with missing context.


Understanding how to calculate b2b data match rate, and what actually drives it, is one of the most practical things a RevOps or marketing ops leader can do to improve GTM performance.

Learn how prospect fit scoring at the contact level helps reps prioritize the right buyers, not the wrong accounts.

Sidekick

Article

How to Score Prospect Fit at the Rep Level, Not Just the Account Level

Your CRM says the account is a fit. The firmographics line up. Revenue, industry, headcount, tech stack. Everything checks out on paper. So you spend two weeks working it. You send sequences, leave voicemails, and chase down contacts across the org chart. Then the deal stalls before it starts. Nobody on the buying side had budget authority. Nobody matched your ICP at the contact level. The account scored well. The people inside it did not.

This is where most sales teams lose hours they never get back. Account-level scoring tells you where to look. Prospect fit scoring tells you who to talk to when you get there. Without both, you prospect blind half the time.

Compare the best linkedin prospecting tools for SDRs. Find verified contacts, score accounts, and map buying committees without the cost.

Sidekick

Article

The best LinkedIn prospecting tools for SDRs

You open a profile. The person looks like a fit. Now what? Most SDRs copy the name into a spreadsheet, run a search in whatever data tool their company bought, and hope the email comes back clean. That process costs you 20 minutes per prospect on a good day.


The tools on this list cut that time down. Some of them pull contact data. Others score accounts, map buying committees, or surface lookalike targets. Each one does something different, and the right stack depends on what slows you down most.


This guide walks through the strongest linkedin prospecting tools available to SDRs right now, what each one actually does, and where each one falls short.

Find direct dials from linkedin profiles for free with Sidekick. Verified mobile numbers, no database required.

Sidekick

Article

How to Find Direct Dials From a LinkedIn Profile Without Paying for a Sales Database

You found the right contact. The title matches. The company fits your ICP. Now you need a phone number that works. Every outbound rep hits this wall daily. The profile is right there, but the direct dial is locked behind a paywall or buried in a stale database. You need a faster way to find direct dials from linkedin profiles without switching tabs or spending hundreds a month on another tool.


Here is exactly how to do it, step by step, for free.