Demand generation & intent-based targeting

Problem class

B2B marketing historically targets all accounts in the ICP with the same message regardless of where they are in the buying journey. 70% of the buyer journey happens before a prospect engages sales. Without intent signals, marketing invests equally in accounts doing background research and accounts actively evaluating vendors — producing poor conversion rates and frustrated SDRs. Siemens DI experienced MQL sales acceptance of just 1% before intent data transformation.

Mechanism

Intent-based demand generation layers three signal tiers — first-party (website visits, content downloads, email engagement), second-party (review site activity on G2, TrustRadius), and third-party (Bombora's cooperative of 5,000+ publisher sites) — to identify accounts in active buying cycles. The optimal approach layers all three: "A prospect who visits your pricing page, reads G2 reviews, and consumes content across the web is a fundamentally different lead than one triggering a single signal." Accounts are prioritized by signal strength and recency, then routed to SDRs with context.

Required inputs

• Intent data subscriptions (Bombora, G2 Buyer Intent, TechTarget Priority Engine)
• First-party behavioral tracking (web analytics, content engagement)
• CRM with account hierarchy for signal routing
• SDR team trained to act on intent data
• RevOps resources to configure topics, build workflows, and maintain integrations
• Budget: 15–25% above quoted price for implementation overhead

Produced outputs

• Weekly prioritized account lists for SDRs sorted by intent signal strength
• Intent-scored account segments for programmatic ad targeting
• Early identification of new accounts entering active evaluation
• MQL volume from intent-sourced campaigns
• Pipeline influenced by intent-driven campaigns

Industries where this is standard

Enterprise software/SaaS, cloud infrastructure and data platforms, cybersecurity (high-urgency evaluation cycles), financial services technology, and B2B professional services.

Counterexamples

• Over-reliance on noisy signals — third-party intent is probabilistic; Mission Cloud found "high intent didn't reliably indicate" real opportunity.
• Signal decay — intent signals have short shelf-lives; acting on signals within 24–72 hours is critical.
• Conflating intent with interest — reading articles about "cloud migration" ≠ active purchase evaluation.
• Using intent without CRM integration — intent data not reaching reps in real-time is wasted; integration quality determines ROI.

Representative implementations

• Siemens DI (Factory Automation) partnered with Bombora Company Surge® and achieved MQL sales acceptance from 1% to 90%, 80% reduction in CPC, 94% win/loss rate, 400+ new pipeline opportunities.
• Informa Markets: 10× higher CTR and 18× reduction in CPC on intent-driven campaigns (Bombora).
• Hushly: 414% bump in lead-conversion rates using Bombora intent data.
• Asana: win rates jumped 32 points (70% vs. 39%) within 8 weeks of 6sense implementation.
• Flexera: 82% pipeline lift from high-intent accounts via 6sense.
• OpenText: 27% new marketing-influenced revenue and 600% conversion rate lift via Drift integration with 6sense.
• 6sense aggregate results: customers report 2× increases in ACV, 4× increases in win rate, 20–40% reduction in time to close.
• Vertiv: generated $1M pipeline in 4 weeks using 6sense for new market entry.

Intent data types

• First-party (website visits, content downloads, email engagement): highest quality but limited to known visitors — misses ~70% of buyer journey.
• Second-party (review site activity — G2, TrustRadius): "about as close to a hand raise as third-party intent data gets." TrustRadius attracts enterprise buyers (avg. 400 words/review); G2 skews SMB/mid-market; only 20% audience overlap.
• Third-party (Bombora's cooperative of 5,000+ publisher sites): large-scale, broad coverage, best for top-of-funnel signals.

Common tooling categories

Third-party intent data platforms (Bombora, TechTarget Priority Engine), review site intent (G2 Buyer Intent, TrustRadius Intent), AI-driven ABM/demand platforms (6sense, Demandbase, Terminus), conversational marketing (Drift, Qualified), RevOps automation connectors.

AI transformation

6sense's AI predicts buying stages across billions of data points, including multi-stakeholder detection when entire buying committees enter research mode simultaneously. AI-driven ICP refinement uses ML on closed-won deals to identify winning patterns. 87% of B2B leaders say predictive analytics for account selection is "essential" (Demandbase/ForgeX 2025). 6sense Conversational Email agents act as autonomous BDRs — Simpro deployed them across inbound leads, MQLs, webinar outreach, and dormant accounts. Global intent data market projected to exceed $4B by 2028.