Buyer Intent

Only 3-5% of your total addressable market is actively buying at any given time. That means 95-97% of your cold outreach is going to people who don't care right now. You're interrupting their day to pitch something they won't need for 6-18 months. No wonder reply rates are in the gutter.

Buyer intent data tells you which accounts just moved into that 3-5%. Someone at Acme Corp just compared you and three competitors on G2. Someone else visited your pricing page four times this week. Another prospect asked your chatbot about enterprise plans at 10 PM last night. Those are buying signals. Act on them.

Here's the thing: intent data without speed is useless. If you find out a prospect was researching you three weeks ago, you're too late. The best teams combine real-time intent data with instant action — like Salespeak.ai's AI agent engaging high-intent visitors the moment they land on your site. Not tomorrow. Not after the BDR reviews the lead. Right now.

Buyer intent operates across three data layers:

1. First-party intent (your data): Website visits (especially pricing, comparison, and product pages), content downloads, email engagement, product trial activity, and chat conversations. This is the strongest signal because the prospect is engaging with your brand directly. A pricing page visit is worth 10 blog visits.
2. Second-party intent (partner data): Data from review sites (G2, TrustRadius, Gartner), publisher networks, and industry communities. When a prospect reads "Top 10 AI Sales Tools" on G2 and clicks your profile, that's second-party intent — they're researching your category but on someone else's platform.
3. Third-party intent (aggregated data): Platforms like Bombora and TechTarget aggregate anonymous web activity across thousands of B2B websites to identify which companies are consuming content about specific topics. "Acme Corp has been consuming 3x more content about AI sales agents this month" is a third-party intent signal.
4. Conversational intent (real-time): What a prospect says during a chat or call. "We're evaluating vendors this quarter" is the strongest intent signal you can get. AI sales agents like Salespeak capture this through real-time qualification conversations.
5. Intent scoring and action: Combine all layers into a composite intent score. High intent + good fit = immediate sales outreach. High intent + poor fit = automated nurture. Low intent = stay in marketing.

An ABM software company was running outbound to a target list of 2,000 accounts. Reply rate: 1.8%. Most outreach landed with a thud because they were hitting accounts at random — no idea who was actually in-market.

They added Bombora intent data and a G2 buyer intent integration. Overnight, their list of 2,000 accounts shrank to 180 that were showing active research signals in the ABM category. Then they sorted those 180 by intent strength — accounts reading competitor comparison content got priority over accounts reading top-of-funnel blog posts.

Their SDRs reached out to the top 50 intent-surging accounts first. The opening email referenced the fact that the prospect was evaluating ABM tools (without being creepy about it): "Since you're looking at ABM platforms right now, here's how we differ from [common competitor] on the features that actually matter."

Reply rate on intent-prioritized outreach: 14.2%. Seven meetings booked in the first week from 50 emails. Their head of sales called it "the best outbound week we've ever had." It wasn't magic — it was just talking to people who were already thinking about buying.

• Treating all intent signals equally. A pricing page visit is not the same as a blog page visit. A demo request is not the same as an ebook download. Weight your signals by proximity to purchase, not just by volume of engagement.
• Being creepy about it. "I noticed you were on our website at 11:47 PM last night looking at our enterprise plan" is a restraining order waiting to happen. Use intent data to time your outreach and personalize your angle — not to prove you're watching them.
• Buying intent data and not acting fast enough. Intent has a half-life. If a prospect is researching your category this week, they might choose a vendor next week. Getting intent data in a weekly batch report and acting on it 5 days later defeats the purpose.
• Only using third-party data. Third-party intent shows category-level research, not brand-specific interest. It's a starting signal, not a closing signal. Combine it with first-party data (your website, chat, product) for the complete picture.
• No control group. How do you know intent-based outreach works better? Run a test: intent-prioritized accounts vs. random accounts from the same list. Measure reply rates, meetings, and pipeline. If you can't prove the lift, you're paying for data on faith.