
Cut through the
sales tech noise
Honest reviews, head-to-head comparisons, and data-driven insights on every sales technology tool that matters.
Featured Insight
All articles →
AI Agents in Sales: What's Real and What's Still Hype in 2026
81% of sales teams say they've adopted AI. But only 19% of reps actually use it. We investigated the gap between hype and daily reality across CRM, outreach, and forecasting.
Latest Reviews & Analysis
View all tools →Gong vs Chorus.ai (ZoomInfo Chorus)
Gong is the stronger platform for enterprise teams that need comprehensive revenue intelligence, AI-powered forecasting, and multi-language support. Chorus wins on price — 50–60% cheaper — and is the right pick for mid-market teams under 50 reps already invested in the ZoomInfo ecosystem where native contact enrichment adds real workflow value.
Highspot vs Seismic
Highspot is the better fit for mid-market to enterprise teams (50–500 reps) that prioritize ease of adoption, faster implementation, and lower total cost of ownership. Seismic wins for large enterprise organizations (500+ reps) with complex content automation needs and the admin resources to operationalize its deeper customization. Both are merging — buyers are effectively choosing the combined entity's future platform.
6sense Review
6sense is the gold standard for enterprise ABM and intent data, but its $50K+ price floor and implementation complexity make it a poor fit for teams without dedicated RevOps support and a serious GTM budget.
Apollo.io Review
Apollo.io is the best value play in sales engagement — the only platform that bundles a 275M+ contact database with multi-channel sequencing, a built-in dialer, and AI-powered outreach starting at $0. It's the most accessible entry point for startups and SMBs. Enterprise teams with complex sequencing needs or demanding data accuracy requirements will outgrow it, but for the price-to-capability ratio, nothing else comes close.
The Revenue Operations Revolution: Why RevOps Is Becoming the New Power Center
79% of organizations now have a formal RevOps function, and companies with dedicated RevOps teams report 36% higher revenue growth. RevOps is becoming the operational backbone of B2B go-to-market strategy by unifying sales, marketing, and customer success under shared data and metrics.
Your Sales Tech Stack Is Too Big — Here's What to Do About It
Sales teams average 10+ tools but reps only use 3, with 42% feeling overwhelmed by their stack. Consolidating to 5-7 integrated platforms yields 22% higher revenue per rep, six-figure cost savings, and 43% higher win rates compared to fragmented stacks.
The Number
19%
of sales reps actually use AI features in their CRM — despite 81% of sales teams claiming AI adoption.
Source: Salesforce State of Sales, 2026
Explore the Directory
All categories →The Sales Tech Briefing
One email per week. The tools, trends, and data that matter in sales technology. No fluff, no spam.
Explore by Category
Featured Tools
View all →6sense
intent-data, abm-platforms
6sense is the gold standard for enterprise ABM and intent data, but its $50K+ price floor and implementation complexity make it a poor fit for teams without dedicated RevOps support and a serious GTM budget.
Apollo.io
sales-engagement
Apollo.io is the best value play in sales engagement — the only platform that bundles a 275M+ contact database with multi-channel sequencing, a built-in dialer, and AI-powered outreach starting at $0. It's the most accessible entry point for startups and SMBs. Enterprise teams with complex sequencing needs or demanding data accuracy requirements will outgrow it, but for the price-to-capability ratio, nothing else comes close.
Aviso
sales-analytics
Aviso is the right call for enterprise and mid-market RevOps teams that are serious about predictive forecasting accuracy and want a unified AI command center — if they can stomach the implementation cost and a non-trivial learning curve.
Bombora
intent-data
Bombora is the cleanest, most trusted third-party intent data source in B2B — but it's a data layer, not a platform. Enterprise and upper mid-market teams with a mature CRM and RevOps function will find it indispensable. Teams without the execution infrastructure around it will find $25K+ hard to justify.
BoostUp (Terret)
revenue-intelligence
BoostUp (now Terret) delivers meaningful forecasting accuracy and deal-level risk scoring at a fraction of what Clari and Gong charge. The built-in conversation intelligence, flexible framework support, and free 48-hour proof-of-concept lower adoption risk. But the 57-employee team, rebrand confusion, and early-stage AI agent fleet mean buyers are betting on execution potential as much as current capability. For mid-market teams priced out of enterprise revenue intelligence, it is the most compelling option in the category — with caveats.
CaptivateIQ
compensation-management
CaptivateIQ is the strongest modern alternative to legacy ICM platforms for mid-market and enterprise sales teams. Its no-code SmartGrid engine, AI-powered coaching, and real-time rep visibility make it worth the enterprise price tag — if you have the RevOps resources to implement it properly.
Latest Insights
AI in Sales
AI Agents in Sales: What's Real and What's Still Hype in 2026
81% of sales teams say they've adopted AI. But only 19% of reps actually use it. We investigated the gap between hype and daily reality across CRM, outreach, and forecasting.
Revenue Operations
The Revenue Operations Revolution: Why RevOps Is Becoming the New Power Center
79% of organizations now have a formal RevOps function, and companies with dedicated RevOps teams report 36% higher revenue growth. RevOps is becoming the operational backbone of B2B go-to-market strategy by unifying sales, marketing, and customer success under shared data and metrics.
Sales Technology
Your Sales Tech Stack Is Too Big — Here's What to Do About It
Sales teams average 10+ tools but reps only use 3, with 42% feeling overwhelmed by their stack. Consolidating to 5-7 integrated platforms yields 22% higher revenue per rep, six-figure cost savings, and 43% higher win rates compared to fragmented stacks.