buyer-intent
(22)
Aberdeen and the business of being believed
A technology seller can buy attention. Credibility takes more work. Aberdeen Strategy & Research has built a business in the awkward, useful space between evidence and persuasion.
Koala Found the Buyers. Then It Found the Harder Problem.
The sales startup taught teams to recognize a warm prospect. Then its own customers asked the awkward question: now what?
The $1,000 Question That Built Slintel
Before Slintel could predict which company might buy, its founders asked a simpler question: would anyone pay for the answer? The service that followed became a data business and, in 2021, part of 6sense.
The Three Scientists Who Tried to Sell Their Way Out of Selling
Amplemarket began with founders who hated the busywork of finding customers. Their answer is a single sales system that spots a reason to call, finds the right person, and helps a human decide what to say.
Cognism Puts Europe on Speed Dial
Cognism sells something every outbound team wants and nobody can fully guarantee: a clean route to the right buyer. Its sharpest argument is not database size, but Europe-ready phone data with compliance checks baked into the workflow.
RB2B Puts Names to the Window-Shoppers
RB2B turns a quiet pricing-page visit into a name, a company and a timely nudge for sales. The trick is useful, the setup is tiny, and the privacy conversation should happen before the pixel goes live.
Seamless Wants the Whole Sales Floor. Start With 50 Leads.
Seamless can find the buyer, fetch the phone number, draft the email and push the record into your CRM. The sensible first move is smaller: spend the free credits on a ruthless accuracy test.
ZoomInfo Knows Who’s Buying. Read the Fine Print.
The B2B data heavyweight has become an AI-powered operating layer for revenue teams. Its database can save hours; its quote, credits and renewal terms deserve a spreadsheet of their own.
Dealfront Found Your Buyers. Then It Lost Its Own Name.
The European sales-intelligence platform could spot a pricing-page visitor before they raised a hand. Its stranger trick was becoming Dealfront, buying a rival, and then turning back into Leadfeeder - without changing the product underneath.
Factors.ai Finds the Buyers Hiding in Your Traffic
Your best prospect may have visited the pricing page twice and vanished without a form fill. Factors.ai turns that quiet behavior into an account, a journey and, if your team is ready, a next move.
Lusha Knows Who to Call. The Hard Part Is Knowing When.
The little browser extension that found a phone number has grown into a data layer for revenue teams and AI agents. It is quick, clever, and useful - provided you test its coverage before buying a mountain of credits.
UserGems Failed at Resale, Recruiting and Influencers - Then Turned Job Changes Into Pipeline
Twin brothers Christian and Stephan Kletzl spent years building products nobody quite wanted. Their fourth idea found a warm lead hiding in plain sight - and became a pricey AI command center for revenue teams allergic to cold outreach.
Demand AI Bet the Old Lead-Gen Machine Was Broken - Then Built a $28 Million Run Rate in a Year
The Denver-area company turned static content into buyer conversations, paired software with global campaign delivery, and says it reached profitability in 12 months. The useful lesson is less about the AI label than the machinery underneath it.
TechnologyAdvice Bought a $32,000 Lemon - Then Built a 40-Brand Media Machine
A bad eBay acquisition lost its main supplier in six weeks. Two decades of pivots later, TechnologyAdvice sits between the people buying business software and the vendors desperate to reach them.
Marc Laplante Keeps Rebuilding the Map of Buyer Intent
After 13 years in technology media, a predictive-analytics exit, and a return to the CEO seat, Marc Laplante is still chasing the same useful question: what are business buyers trying to do next?
Your Sales Stack Is Really an Org Chart
6sense and Warmly overlap on buyer signals, but the useful distinction is operational: one is sold into a staffed revenue machine, while the other is designed to be switched on and run by a lean team.
The RevOps Signal You Should Buy First
Segment records what people do in your world. 6sense looks for companies researching beyond it. If the budget allows only one, the right purchase depends on which blind spot is costing you revenue now.
Your Website Is Late to the Buying Party
Warmly reacts when a buyer reaches your website. 6sense tries to spot the account while it is still researching elsewhere - and that difference should decide which tool you buy.
The Company Mapping the Invisible Software Inside 40 Million Businesses
HG Insights built its business by reading the digital exhaust of corporate technology. Now it wants to turn that sprawling evidence - from software installs to buyer research - into an operating system for B2B growth.
Gradual
Gradual is the seamless place to host events, educate and engage members, and grow your brand.
Influ2
Influ2 is a New York-based B2B advertising platform that pioneered contact-level, or person-based, advertising - the ability to serve ads to specific named decision-makers inside target accounts rather than anonymous account-level audiences. Founded in 2017 by Dmitri Lisitski and Volodymyr Mikhalko, the company ties every ad impression, click, and site visit back to an individual, then feeds those signals to sales teams so they know exactly who is engaging and what to say. Influ2 has raised roughly $17 million, counts customers like Capgemini, AppsFlyer, Chargebee, and Amplitude, and has expanded from advertising into buying-group intelligence with products such as Signals Center and Audienscope.
Warmly,
Warmly, is a San Francisco-based AI revenue orchestration platform built for SMB sales teams. It identifies anonymous website visitors at the person level, aggregates real-time buyer intent signals from multiple sources, and deploys AI agents to orchestrate personalized outreach across email, LinkedIn, and ads - all within seconds of a prospect showing interest. Founded in 2020 by four ex-Google engineers and backed by Felicis, NFX, and RTP Global with $21.5M raised, Warmly, turns the classic problem of 'who is on my website?' into a fully automated pipeline generation engine.