HG Insights and 6sense are both enterprise-grade B2B intelligence platforms, but they optimise for different jobs. HG’s core is depth: technographics, spend, contracts and buyer intent, delivered as a data fabric for enterprise planning teams. 6sense’s core is orchestration: anonymous and known intent signals modelled through predictive AI, activated across advertising, marketing automation and, via partner integrations, web personalisation for enterprise ABM programmes. Neither is a wrong answer; the right one depends on whether the buying committee is a data-and-strategy function or a marketing-orchestration function. If timing signals matter as much as planning breadth, an event-based subscription layer sits cleanly alongside either - see MarketSizer vs HG Insights and MarketSizer vs 6sense.
What each tool actually is
HG Insights positions itself as AI-powered Revenue Growth Intelligence, built on its Revenue Growth Intelligence Fabric data layer. Its core is depth of company-level data: technographic footprint across more than 20,000 products, IT-spend and contract-value estimates, and a buyer-intent overlay layered on top - since June 2025 including verified second-party review intent from its acquisition of TrustRadius. The primary customer is a strategy, marketing or RevOps function at a large B2B technology company using the data fabric to plan territories, size markets and structure ABM programmes.
6sense positions itself as an ABM platform powered by its Revenue AI engine. Its core is orchestration: intent signals from 6sense’s proprietary B2B publisher network, third-party providers such as Bombora, review-site intent from G2, TrustRadius and PeerSpot, and first-party website traffic de-anonymised through its company-identification graph (6sense states it does not use bidstream data), modelled through 6sense’s own predictive AI and activated across advertising, marketing automation and, via partner integrations, web personalisation as one connected motion. The primary customer is an enterprise marketing or ABM function running a structured multi-quarter programme.
Both are enterprise-heavy. Both deliver an account-level score plus supporting data. 6sense typically takes one to three months to implement, HG deployments are usually measured in weeks, and typical contracts on both sides run from the mid tens of thousands into six figures per year. The differences show up in what the platform is doing once configured.
Where HG Insights wins
Four situations where HG is the sharper pick.
Technographic depth as the primary signal. HG’s technographic dataset is one of the broadest in the market. If the account-planning question is which technologies does the target run and how much does that stack cost, HG’s data is closer to the answer than 6sense’s inference layer.
Spend and contract-value estimates. HG’s spend intelligence is a genuine differentiator for teams building territory or TAM models where IT budget matters. 6sense does not carry the same spend-modelling depth.
Market-intelligence and analyst-facing reporting. HG’s taxonomy and dataset shape are well-suited to internal reporting where a market-intel team needs to slice adoption curves or category maturity for leadership. 6sense reports on programme performance rather than category structure.
Long-horizon programme design. When the deliverable is a 12-month ABM programme design, HG’s data-fabric framing feeds planning better than an orchestration platform whose value is realised in live campaigns.
Where 6sense wins
Four situations where 6sense is the sharper pick.
Full-funnel orchestration in one platform. 6sense’s value grows with how many channels it activates - display advertising through its native DSP, marketing automation, sales notifications, conversational email and, via partner integrations such as Drift and Folloze, web personalisation - all off the same underlying account model. If the ABM motion depends on that orchestration surface, 6sense is doing something HG does not.
Predictive AI account scoring. 6sense’s AI models combine intent, firmographics and engagement into predictive account scores tied to a buying-stage taxonomy (Target, Awareness, Consideration, Decision, Purchase). Teams that plan campaigns around buying-stage transitions find that model useful.
Anonymous-visitor uplift. 6sense identifies accounts behind anonymous web traffic and pushes them into activation flows. For a marketing team focused on first-party attribution and pipeline sourced from web engagement, that is a real workflow surface HG does not match.
Marketing-owned buying decisions. 6sense’s DNA is marketing. Where marketing is the owner of ABM budget and platform strategy, 6sense is easier to activate than a data-fabric tool whose value depends on integration into planning workflows.
Signal mechanics: technographic depth vs predictive AI
The signals diverge more than the marketing suggests, starting with the inputs. HG leans on bidstream web activity and TrustRadius review behaviour; 6sense on its own publisher network, partner feeds such as Bombora and review sites, and first-party de-anonymisation. They diverge further in how the raw data is turned into something a team can act on.
HG’s approach is composed. Raw signals from partner networks are anchored to a much larger technographic and spend baseline. The intent score is one column in a wider dataset that also carries what the account already owns, roughly what they spend on IT, and (in some tiers) contract renewal windows. A rep or planner interprets the intent uplift against that context.
6sense’s approach is modelled. Raw signals are fed through 6sense’s AI to produce a predictive account score aligned to a buying stage. The rep primarily sees the score and the stage rather than the underlying breakdown. Where HG expects the buyer to interpret intent against firmographic context, 6sense compresses that interpretation into the model.
Neither approach is event-based. Both produce aggregated inferences delivered on refresh cadences that, by our own editorial estimate of the publicly described mechanics, lag the underlying behaviour by days to weeks - signal scale, accuracy and overlap are the dimensions Forrester recommends assessing when evaluating intent providers. Both are useful for planning; both trail the specific fourteen-to-thirty-day buying windows that decide competitive-displacement outcomes.
Pricing and procurement
Neither vendor publishes pricing. Industry aggregators and public sales-battlecard research consistently place both in the enterprise bracket.
| Dimension | HG Insights | 6sense |
|---|---|---|
| Entry-level pricing (public research) | Roughly $24,000 to $150,000+ per year, median around $52,000 (Vendr contract data) | Roughly $50,000 entry for sales-intelligence packages; $60,000 to $130,000 typical mid-market; $100,000 to $300,000+ for full-platform enterprise deals (Vendr contract data) |
| Contract structure | Annual, typical multi-year enterprise cycle | Annual, typical multi-year enterprise cycle |
| Implementation time | Weeks of data integration | Typically one to three months, longer for complex enterprise stacks |
| Primary buyer | Strategy / market intelligence / RevOps | Enterprise marketing / ABM leadership |
Both are procured through enterprise sales cycles with legal and finance review. Neither sells the platform itself self-serve, though 6sense offers a limited free tier (50 credits per month, without intent data or predictive scoring); every paid plan on both sides is quote-based.
The decision tree
The choice usually resolves along three axes.
- Owner of the buying decision. Data / strategy / RevOps → HG. Marketing / ABM → 6sense.
- What the platform is for. Planning and reporting → HG. Orchestration and activation → 6sense.
- Signal shape you value most. Technographic and spend depth → HG. Predictive AI account scores tied to buying stage → 6sense.
If two of the three point to the same vendor, that is usually the right call. Mixed answers often mean the team ends up using both, which is more common at large enterprises than either vendor markets.
How enterprise teams sometimes use both
At the largest enterprises, the two coexist. HG feeds the strategy team’s planning outputs (territory design, TAM sizing, adoption curves) and 6sense executes the marketing programme those plans commission. The two datasets sit in different systems and the coordination happens at the account-list level rather than at the platform level.
For most mid-market and mid-enterprise buyers, running both is over-engineered. Pick the one whose owner is closer to the buying committee and add other layers (signal execution, contact data, sales workflow) as separate purchases.
Where a subscription-intelligence layer fits alongside
Both HG and 6sense answer questions at the planning altitude: which accounts should be in the programme, what is the shape of the segment, which are researching this category. Neither answers the execution question: which specific account just started trialling your competitor, and where are they in that trial today.
Subscription intelligence is a different category of signal - an event-based feed of what accounts are doing right now with their software stack. Where HG surfaces intent as a score and 6sense surfaces intent as a predictive stage, subscription-intelligence signals attach a specific event to a specific account: trial started on day X, vendor switched from A to B, renewal window opening in 45 days.
The practical pattern at enterprise teams: HG or 6sense (or both) at the marketing / ABM planning altitude; MarketSizer at the sales-execution altitude, opening its side panel alongside HubSpot, Salesforce and LinkedIn so reps see the timing signal next to the interface they already work in. Full breakdowns at MarketSizer vs HG Insights and MarketSizer vs 6sense.
Frequently asked questions
Is HG Insights or 6sense better for enterprise ABM? Different jobs. HG is better if the ABM programme is data- and planning-driven, particularly where technographic depth and spend estimates matter. 6sense is better if the ABM programme is orchestration- and activation-driven, particularly where advertising, marketing automation and partner-delivered web personalisation are the primary channels. Most enterprise teams pick based on who owns the programme.
What is the difference between HG intent and 6sense intent? The inputs differ: HG’s intent is predominantly bidstream-derived plus TrustRadius review activity, while 6sense combines its proprietary publisher network, partners such as Bombora, review-site intent and first-party de-anonymisation (and states it does not use bidstream). HG delivers intent as a topic-level score against a rich technographic and spend baseline. 6sense delivers intent as a predictive buying-stage score inside an orchestration platform. HG expects the buyer to interpret the score against context; 6sense compresses that interpretation into the AI model.
How much do HG Insights and 6sense cost? Neither publishes list pricing. Third-party contract data (Vendr) places HG at roughly $24,000 to $150,000+ per year with a median around $52,000, and 6sense at roughly $50,000 entry for sales-intelligence packages, $60,000 to $130,000 for typical mid-market deals, and $100,000 to $300,000+ for full-platform enterprise deployments, with a reported median around $55,000. Both are procured through enterprise sales cycles, typically with multi-year commitments.
Can HG Insights and 6sense be used together? Yes, at large enterprises. HG feeds strategy and planning outputs while 6sense executes the marketing programme. For most mid-market and mid-enterprise buyers, running both is over-engineered.
Does either detect competitor trials? Not directly. Both surface aggregated intent scores that suggest research is happening; neither fires on the specific event that a target account started trialling a specific competitor. That is a different signal category - see How to detect competitor trials.
Which one is better for sales reps directly? Neither is primarily built for reps, though both are moving that way: 6sense sells a Sales Intelligence product with a rep-facing Chrome extension, and HG markets intent-driven leads since acquiring TrustRadius. In practice HG’s output goes mostly to strategy and RevOps, 6sense’s to marketing operations, and reps consume both largely through CRM records that other functions push over. Execution-facing signals (Chrome-extension side panels alongside HubSpot, Salesforce, LinkedIn or Apollo) are a job neither platform is built for.
Is 6sense predictive scoring more accurate than HG intent? Neither publishes independently audited accuracy figures. Both attract similar false-positive complaints characteristic of aggregated third-party intent. Which model fits a team’s workflow better tends to matter more than accuracy claims either vendor makes.
What replaces both if I want event-based signals instead of aggregated intent? Subscription-intelligence platforms deliver event-based signals (trial started, vendor switched, subscription approaching renewal) instead of aggregated scores. See What replaces intent data in 2026.
Sources
All quantitative claims in this piece trace to public sources. Where a number is a range, we cite the third-party research that produced it.
- HG Insights homepage - positioning language, product breadth.
- HG Insights Buyer Intent product page - how the intent product describes itself.
- HG Revenue Growth Intelligence Fabric - HG’s own data-layer positioning and coverage figures.
- HG Insights acquires TrustRadius (June 2025) - second-party review intent and intent-driven leads. Disclosure: HG Insights has owned TrustRadius since June 2025, so TrustRadius data about HG is not an independent source.
- HG Insights and 6sense compared, by HG and HG Insights + 6sense Better Together - how HG itself positions the two tools, including the spend and contract-intelligence differentiators.
- 6sense homepage - positioning language, product breadth.
- 6sense intent data page - 6sense’s own description of its intent sources.
- 6sense CTO on data collection - 6sense’s on-record statement that it does not use bidstream data.
- 6sense buying-stage glossary - the Target, Awareness, Consideration, Decision, Purchase taxonomy.
- 6sense + Drift and 6sense + Folloze - web personalisation delivered through partner integrations rather than natively.
- 6sense onboarding documentation - implementation scope and timeline.
- G2: 6sense Revenue Marketing vs HG Insights - user ratings, ease-of-setup and implementation-complexity comparison.
- Vendr - HG Insights and Vendr - 6sense - third-party contract data behind the pricing brackets above. Neither vendor publishes list pricing.
- Forrester - How To Evaluate Intent Data Providers - the evaluation framework (signal scale, accuracy, overlap); the latency estimates in this piece are our own.
- The Forrester Wave: Intent Data Providers For B2B, Q1 2025 - the category’s current analyst benchmark, in which 6sense is named a Leader.
- MarketSizer platform capabilities and data-coverage claims (70M+ subscription records, 17M+ active subscriptions, 2.5M+ active trials, 200+ vendors indexed, 140+ countries) - internal Claim Registry, sourced from live production tables and refreshed quarterly. Available on request via a demo.
Recommended reading
- MarketSizer vs HG Insights - side-by-side breakdown.
- MarketSizer vs 6sense - side-by-side breakdown.
- What is HG Insights intent data? - explainer piece.
- Best purchase-intent data platforms for 2026 - the full landscape.
- What replaces intent data in 2026? - why event-based signals are displacing aggregated intent for execution teams.
- How to detect competitor trials - the four detection methods and the buying-window math.