HockeyStackThe Command Center for B2B Revenue Teams.
vs
Quantum MetricExperience context for AI
Comparison · Web Analytics · weekly run Nov 2
HockeyStack vs Quantum Metric
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Quantum Metric is the stronger AI pick in Web Analytics: it has a visibility score of 2.6 versus 2.1 for HockeyStack.
Choose HockeyStack if…
- Connects marketing touchpoints to product usage, revenue, and churn data
- Built specifically for B2B SaaS
- Does not require a large data engineering team
- Suited to connecting campaigns to pipeline and closed-won revenue
Choose Quantum Metric if…
- You want the brand AI engines rank higher (2.6 vs 2.1)
- You need SOC 2 Type II or ISO/IEC 27001 or HITRUST coverage
- You prefer a larger, established vendor (201–500 employees)
- Blends quantitative product analytics with qualitative context like session replays and error monitoring
AI visibility side by side
Latest weekly run · Nov 2
| Metric | HockeyStack | Quantum Metric |
|---|---|---|
| Visibility score | 2.1% | 2.6% |
| Change vs last week | New | New |
| Rank in Web Analytics | #25 | #22 |
| Share of voice | 0.6% | 1.3% |
| Mentions this run | 3 | 7 |
| Positive in AI answers | — | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
HockeyStack 0pp · Quantum Metric 0pp over 0 weekly runs.
Engine by engine
Quantum Metric leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
HockeyStackQuantum Metric
Head to head in AI answers
0 engine answers name both brands
0HockeyStack ranked higher
0Quantum Metric ranked higher
Features, pricing & fit
| Dimension | HockeyStack | Quantum Metric |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | — | Cloud-based service |
| Compliance | — | SOC 2 Type II, ISO/IEC 27001, HITRUST |
| Support | Hands-on support from the customer success team | Dedicated account management and customer success team, Onboarding under industry-specific playbooks, Expert-led and self-guided training, Ongoing consultation with customer success experts |
| Founded | 2021 | 2015 |
| Headquarters | San Francisco, California, United States | Colorado Springs, Colorado, US |
| Employees | 51–200 | 201–500 |
| Funding | Round announced April 2026 · $50M raised | Series B |
| Best for | Marketing leaders, GTM operations and sales leaders at B2B companies that need one view of pipeline across marketing and sales data | Enterprise CX, product, UX, marketing and development teams in retail, financial services, travel and hospitality, telco, gaming and healthcare. |
Plans side by side
HockeyStack
Pricing not available.
Quantum Metric
EnterpriseCustomcustom quote (based on session volume and digital properties)
Pros and cons
Themes from the AI answers that mention each brand
HockeyStack
- Connects marketing touchpoints to product usage, revenue, and churn data
- Built specifically for B2B SaaS
- Does not require a large data engineering team
- Suited to connecting campaigns to pipeline and closed-won revenue
Quantum Metric
- Blends quantitative product analytics with qualitative context like session replays and error monitoring
- Strong recognition from analysts and research
- Best for enterprise digital experience and session replay
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “HockeyStack vs Quantum Metric”, https://slateindex.ai/compare/hockeystack-vs-quantum-metric, data of Nov 2, 2026. Licence: CC BY 4.0.