12 Best HockeyStack Alternatives (2026)

Updated for 2026

Quick Answer: The Best HockeyStack Alternatives in 2026

The best HockeyStack alternatives for B2B marketing attribution in 2026 are SegmentStream, Dreamdata, Adobe Marketo Measure, Ruler Analytics, HubSpot Attribution, CaliberMind, Attribution, Factors.ai, InfiniGrow (now Amplitude), RevSure AI, Full Circle Insights, and SpectacleHQ.

This guide compares 12 alternatives evaluated across measurement methodology, attribution depth, optimization capabilities, B2B scalability, and real user feedback from G2 and Capterra. For a broader view, see 6 Best B2B Marketing Attribution Tools in 2026.

Why B2B Marketing Teams Are Moving Beyond HockeyStack

HockeyStack started as an analytics and attribution tool. It’s since grown into a full GTM intelligence platform — AI sales agents, account scoring, intent data, engagement tracking. Attribution is still in there, but it’s no longer the main focus.

That shift matters if attribution is the reason you bought it. Teams that need rigorous, defensible marketing measurement are finding that a platform splitting focus across sales intelligence, AI copilots, and a dozen other modules doesn’t invest the same depth in measurement methodology.

Here’s where the gaps show up most.

A GTM Platform Where Attribution Isn’t the Main Event

Here’s the friction that catches most teams off guard. HockeyStack has evolved into a full GTM intelligence platform — with AI agents for sales (Nova), an AI analyst (Odin), account intelligence modules, intent data, and sales engagement features. Attribution is one piece in a much larger puzzle.

That breadth comes at a cost. Product development resources are split across marketing, sales, RevOps, and AI capabilities. Teams that bought HockeyStack primarily for B2B revenue attribution often find the attribution features are competent but not deep — lacking the methodological rigor, transparency, and advanced modeling that dedicated measurement platforms provide.

When attribution is a feature rather than the product, it tends to stay surface-level.

Attribution Methodology That’s Hard to Trust

The core problem isn’t that HockeyStack lacks attribution — it’s that the attribution is reported to be unreliable and difficult to defend. Rules-based models assign credit using fixed positional weights, and teams quickly discover that the numbers don’t always hold up under scrutiny.

Long Sales Cycles Turn Attribution Into a Rearview Mirror

B2B deals take months. Sometimes over a year. By the time HockeyStack can tell you which campaign influenced a closed-won deal from Q1, your Q3 budget has already been allocated.

What teams actually need in long-cycle environments isn’t just attribution — it’s prediction. Which leads look like they’ll convert? Where should next month’s budget go based on what’s working now, not six months ago? HockeyStack doesn’t offer predictive lead scoring, forecasting, or early-stage value signals that could give marketing teams a way to act before the data fully matures.

Insights That Don’t Lead to Action

HockeyStack can show you what happened. It won’t tell you what to do about it.

There’s no automated budget optimization. No marginal CPA/ROAS analysis to identify diminishing returns by campaign. No predictive modeling to send timely value signals back to Google or Meta. No what-if scenario planning to model how reallocating spend would impact revenue.

The output is a report. What teams need is a system that closes the loop — turning measurement into decisions, and decisions into automated action across ad platforms.

Support and Customization That Fall Short

Multiple users have reported long wait times for email support — which appears to be HockeyStack’s primary support channel. The AI assistant Odin, meant to surface insights automatically, has drawn criticism for vague outputs and occasional hallucinations where unrelated data points get stitched together.

How to Choose the Right HockeyStack Alternative

Not every alternative solves the same problem. Before comparing tools, clarify what you actually need:

Actionability

Does the tool stop at dashboards, or does it connect measurement to optimization? Look for budget reallocation recommendations, marginal CPA/ROAS analysis, predictive scoring, and automated signals back to ad platforms.

Data accuracy and CRM alignment

If your team relies on Salesforce or HubSpot as the source of truth, the attribution tool needs to integrate cleanly — without conflicting numbers or retroactive changes that undermine credibility.

Focus vs. breadth

All-in-one platforms spread resources across many capabilities. Dedicated attribution tools go deeper on measurement. Match the tool’s focus to your primary need.

Support model

Self-serve works if you have internal analytics capacity. Expert-led partnerships work when you need strategic guidance on experiment design, budget allocation, or measurement methodology.

How These Alternatives Were Selected and Ranked

Each platform was evaluated across five dimensions: measurement methodology and accuracy, depth of attribution capabilities, decision support and optimization features, scalability for B2B environments, and user feedback from G2, Capterra, and public reviews. Platforms focused primarily on visitor identification or intent data — rather than marketing attribution — were excluded.

Quick Comparison

#	Platform	Core Capabilities	Ideal Use Cases
1	SegmentStream	ML-powered MTA, incrementality testing, marketing mix optimization, predictive lead scoring	Teams that need attribution + optimization in one platform
2	Dreamdata	CRM-based buyer journey attribution, account-level reporting, intent signals	B2B teams with standardized CRM workflows
3	Adobe Marketo Measure	Enterprise B2B attribution across leads, contacts, accounts, opportunities	Adobe/Salesforce enterprise stack
4	Ruler Analytics	Call and form attribution, offline + online, CRM revenue linking	Inbound-heavy, phone/form acquisition
5	HubSpot Attribution	Built-in multi-touch models, contact/deal/revenue attribution	Teams fully committed to HubSpot
6	CaliberMind	170+ integrations, Markov chain attribution, data normalization	Multi-CRM enterprise environments
7	Attribution	Lightweight MTA, simple onboarding, accessible entry point	SMBs moving beyond last-click
8	Factors.ai	Account identification, multi-touch attribution, LinkedIn/Google AdPilot, intent signals	Growth-stage B2B teams running LinkedIn/Google Ads
9	InfiniGrow (Amplitude)	AI-driven ad hoc analytics, predictive forecasting, budget scenarios	Teams wanting AI analytics + Amplitude’s product analytics
10	RevSure AI	AI full-funnel attribution, agentic AI, next-best-action recommendations	Teams wanting AI-prescribed actions
11	Full Circle Insights	100% Salesforce-native attribution, funnel metrics, intent data integration	Salesforce-centric organizations
12	SpectacleHQ	LTV-focused MTA, Stripe-native, company-level attribution, audience sync	SaaS and subscription companies

1. SegmentStream — Best Overall HockeyStack Alternative

Most B2B marketing teams don’t have a reporting problem — they have an action problem. SegmentStream is built to close that gap. It’s the only platform on this list that combines cross-channel attribution with predictive lead scoring, LTV forecasting, incrementality testing and automated budget optimization in one workflow — turning measurement into decisions that directly improve ad performance.

Where HockeyStack spreads across GTM intelligence, AI agents, and sales analytics, SegmentStream focuses entirely on performance marketing measurement and advertising optimization. That focus shows in the depth of its methodology and the breadth of its capabilities.

Why SegmentStream Is the Top HockeyStack Alternative

HockeyStack’s attribution assigns credit using fixed positional rules. SegmentStream takes a different approach — ML-powered Visit Scoring evaluates how each session actually influenced conversion probability, distributing credit based on measured behavioral impact rather than arbitrary position. The methodology is fully transparent and auditable, which matters when you need to defend budget decisions to finance.

But the real difference isn’t attribution alone. It’s what happens after.

Key Capabilities

1. Cross-Channel Attribution That Goes Beyond Last-Click — Advanced MTA powered by ML Visit Scoring, first-touch, last paid click, and custom models with full transparency into how credit is assigned.

2. Incrementality Testing with Expert-Led Geo Experiments — Rigorous geo-holdout tests with MDE, power analysis, and synthetic control modeling to measure whether marketing actually drives incremental revenue.

3. Marketing Mix Optimization with Automated Budget Reallocation — Marginal CPA/ROAS analysis, what-if scenario planning, and automated weekly budget rebalancing across ad platforms.

4. Predictive Lead Scoring for B2B and SaaS — ML models trained on your CRM data predict each lead’s monetary value at the moment of capture — before waiting months for the deal to close. Scores feed directly into ad platform algorithms for value-based bidding.

5. Customer LTV Prediction from Day One — Forecast lifetime value at the first conversion, enabling LTV-based ROAS reporting and smarter ad targeting.

6. Synthetic Conversions for Smarter Ad Platform Training — ML-generated value signals sent to Google and Meta via CAPI, helping algorithms optimize toward real revenue rather than surface-level conversions.

Strengths

• Attribution methodology is fully explainable — your CFO can audit the logic
• Closes the measurement-to-action gap with automated optimization, not just reports
• Expert-led partnership with senior measurement specialists, dedicated Slack channel, and monthly strategic reviews
• Predictive Lead Scoring solves the long-sales-cycle problem — act on lead quality before revenue materializes
• CRM integrations (Salesforce, HubSpot, Pipedrive) and data warehouse support (BigQuery, Snowflake)
• Re-Attribution captures dark funnel influence through self-reported insights, coupon codes, and QR codes

Limitations

• Minimum ad spend threshold of $50,000/month — not designed for early-stage SaaS and B2B teams with smaller budgets

Best For

• Teams frustrated with HockeyStack’s attribution depth who want numbers they can defend to finance
• B2B and SaaS marketing teams spending $50K+/month on paid media who need revenue attribution connected to budget optimization
• Organizations with long sales cycles that need predictive lead scoring for early-stage optimization

Pricing: Custom, based on ad spend and data volume. Minimum $50K/month ad spend required. Book a demo for details.

G2 Rating: 4.7/5 (See reviews)

G2 Testimonials:

• “A one-of-a-kind attribution, optimisation and budget allocation tool”
• “The best attribution platform we’ve tried so far.”
• “Great product”

SegmentStream isn’t just another attribution dashboard. It’s the system that takes you from “here’s what happened” to “here’s what to do next” — and then does it automatically.

2. Dreamdata

B2B revenue teams that live inside their CRM often gravitate toward Dreamdata. It maps marketing touches — website visits, ad clicks, content engagement, events — to accounts, opportunities, and closed-won revenue using your Salesforce or HubSpot data as the backbone.

Dreamdata’s strength is buyer journey visualization at the account level. You can see how multiple stakeholders from the same company interacted with your marketing before a deal closed. For teams with standardized sales processes and clean CRM data, that account-level view delivers real clarity.

Core Capabilities

• Account and opportunity-level revenue attribution tied to CRM pipeline stages
• Buyer journey visualization across the full buying committee
• Intent signals and account engagement tracking
• Integrations with Salesforce, HubSpot, and major ad platforms

Strengths

• Strong CRM integration simplifies data unification for pipeline-focused teams
• Account-level reporting tracks marketing impact across buying committees
• Structured buyer journey views that align marketing with sales outcomes

Limitations

• Account journeys look comprehensive, but credit assignment runs on fixed positional logic — you can’t train the model on your buying patterns or weigh channels by measured influence
• Self-serve model without hands-on expert support for complex measurement design
• Deals need to close before Dreamdata can assign value — there’s no early-stage scoring to surface which pipeline is worth pursuing while cycles are still running
• Podcasts, word-of-mouth, community referrals — anything that doesn’t leave a CRM trace falls outside the model entirely

Best For

• B2B teams with clean CRM workflows that want account-level journey visibility
• Organizations where pipeline-stage attribution is the primary measurement need

Pricing: Free tier for basic analytics. Paid “Activation & Attribution” plan is custom-quoted — median enterprise contract around $27,000/year per Vendr data.

Dreamdata gives pipeline-focused teams a solid view of what’s working at the account level. Where it falls short is forward-looking measurement — there’s no way to predict which leads will convert or validate whether a campaign actually caused revenue. We’ve written a full comparison of Dreamdata and its alternatives separately.

3. Adobe Marketo Measure

Here’s the pitch: enterprise-grade B2B attribution, deeply wired into Salesforce and Marketo Engage, adopted by some of the largest marketing organizations in the world. Marketo Measure (formerly Bizible) has been the default choice for enterprises already running on Adobe’s marketing stack.

It covers standard B2B attribution models across leads, contacts, accounts, and opportunities. The Salesforce integration is native and mature. Enterprise governance, audit trails, and data handling are solid. If your organization has standardized on Adobe, Marketo Measure fits without disruption.

Core Capabilities

• Standard multi-touch attribution models (first-touch, last-touch, linear, custom) across CRM objects
• Native integration with Marketo Engage and Salesforce
• Enterprise-grade data handling, governance, and audit trails
• Cross-object attribution: leads, contacts, accounts, opportunities

Strengths

• Proven at scale among Fortune 500 marketing organizations
• Deep Salesforce integration that fits established enterprise workflows
• Mature governance and compliance features for regulated industries

Limitations

• Innovation has slowed significantly since the Adobe acquisition — the platform evolves at enterprise pace, not startup pace
• Attribution logic offers limited transparency into how credit gets distributed across touchpoints
• Implementation is resource-intensive — most organizations need dedicated specialists or consultants to get it running
• Locked into the Adobe stack — teams using HubSpot or other marketing automation face friction

Best For

• Large enterprises that have standardized on Adobe’s marketing suite and Salesforce
• Organizations where IT governance and compliance outweigh measurement agility

Pricing: Custom quote only, typically bundled with Marketo Engage. Broader Marketo platform contracts range from $40,000 to $200,000+/year depending on database size and modules. No free trial.

Marketo Measure brings enterprise credibility and deep CRM integration. It’s the safe choice for organizations already locked into Adobe — but “safe” doesn’t mean “complete.” The platform hasn’t added a major measurement capability in years, and teams with ambitions beyond static reports will eventually outgrow it.

4. Ruler Analytics

If your pipeline starts with a phone call or a form submission, Ruler Analytics probably belongs on your shortlist. It specializes in connecting offline and inbound conversions — phone calls, live chat, form fills — back to the marketing source that drove them, then linking those interactions to revenue in your CRM.

That’s a specific problem that HockeyStack doesn’t handle particularly well. HockeyStack’s attribution focuses on digital touchpoints and CRM-based journey mapping. Ruler fills the gap for teams where a significant share of conversions happen off-screen.

Core Capabilities

• Call tracking and form submission attribution matched to marketing touchpoints
• Revenue attribution linking offline conversions to CRM outcomes
• 1,000+ integrations across ad platforms, CRMs, and analytics tools
• Multi-touch attribution models across online and offline channels

Strengths

• Best-in-class call and form-level tracking — strong fit for phone- and form-heavy acquisition
• Bridges online marketing spend to offline conversions and CRM revenue
• Broad integration library reduces data silos

Limitations

• Call and form tracking is sharp, but the attribution logic assigning credit to those conversions is basic — first-touch, last-touch, linear, without accounting for how touchpoints interacted
• The user interface feels dated compared to newer platforms — expect a steeper learning curve for report building
• Inbound-centric — outbound, ABM, and multi-stakeholder journeys are harder to capture accurately
• You’ll know which campaigns drove which calls and forms, but what to do with that data is entirely manual

Best For

• Mid-market B2B companies where phone calls and form submissions drive a meaningful share of pipeline
• Marketing teams that need to prove offline conversion value to justify digital spend

Pricing: From £179/month (~$225/month) billed annually for up to 5,000 visits/month. Mid-tier at £584/month for 50,000 visits. Custom pricing for 200K+ visits.

Ruler solves a real gap for inbound-heavy businesses. If phone calls and forms are how your pipeline starts, few tools do a better job connecting those conversions to marketing sources. The gap is on the other side — once you have the data, Ruler won’t help you decide where to shift spend next quarter.

5. HubSpot Attribution

HubSpot Attribution is the built-in attribution module inside HubSpot Marketing Hub. It’s not a standalone product — it lives within the CRM, pulling data from HubSpot’s own tracking to show which marketing interactions influenced contacts, deals, and revenue.

For teams that run everything through HubSpot, the appeal is obvious: no additional tool, no integration, no extra vendor. The attribution data sits right next to your contacts and deals. But there’s a catch — the most valuable report type, revenue attribution, requires HubSpot Enterprise at $3,600/month.

Core Capabilities

• Contact create, deal create, and revenue attribution reports
• Seven attribution models including first touch, last touch, linear, U-shaped, W-shaped (Enterprise), and Full Path (Enterprise)
• Breeze AI for natural-language report generation (2025 addition)
• AI citation tracking as a new traffic attribution source

Strengths

• Zero additional tooling — attribution runs inside the CRM you’re already using
• Clean integration with HubSpot’s contact, deal, and campaign data
• New Breeze AI makes it easier for non-technical users to build reports

Limitations

• Revenue attribution locked behind Enterprise tier ($3,600/month) — a significant jump from Professional
• Walled garden — tracks interactions within HubSpot well, but cross-platform visibility is limited. Safari ITP and Firefox ETP create attribution blind spots
• Individual contact tracking, not account-level — multiple stakeholders from the same company show up as separate journeys
• Seven models sounds flexible — until you realize they’re all positional formulas. No data-driven weighting, no algorithmic scoring that adapts to your funnel

Best For

• Teams running their entire GTM stack on HubSpot Enterprise who want native attribution without another tool
• Organizations where contact-level (not account-level) attribution is sufficient

Pricing: Multi-touch revenue attribution requires Marketing Hub Enterprise at $3,600/month (5 seats included) + $7,000 onboarding fee. Professional at $890/month includes campaign analytics but not revenue attribution.

HubSpot Attribution is convenient. It works if your marketing and sales data lives entirely within HubSpot and your attribution needs are straightforward. The moment you need account-level visibility, cross-platform measurement, or optimization capabilities, you’ll hit the walls of the walled garden.

6. CaliberMind

Enterprise B2B teams drowning in disconnected data sources often land on CaliberMind. It connects 170+ integrations and runs continuous data normalization — what they call “Clean-As-You-Go” — to deduplicate records, match leads to accounts, and build a unified buyer journey from fragmented CRM, MAP, and ad platform data.

That data unification layer is CaliberMind’s real differentiator. If HockeyStack’s CRM data mismatches are what drove you to look for alternatives, CaliberMind tackles that specific pain point head-on.

Core Capabilities

• 170+ integrations with continuous data normalization and deduplication
• Markov chain-based multi-touch attribution with adjustable weights
• Account-level 360-degree journey views
• Built on Google BigQuery — direct data access for Looker, Tableau, and other BI tools
• Agent Cal — deterministic AI agent for revenue team queries

Strengths

• Handles messy enterprise data environments that break simpler attribution tools — multi-CRM, multi-brand, multi-MAP
• Markov chain attribution captures some nuance in non-linear B2B buying cycles
• BigQuery foundation gives data teams direct access to cleaned data for custom analysis

Limitations

• Enterprise-focused implementation can be heavy for mid-market teams with simpler data architectures
• CaliberMind cleans your data and maps your journeys — but the workflow ends at the dashboard. Translating insights into spend changes happens outside the platform
• Historical-looking only — tells you what already worked, not which current leads are most likely to close or how much they’re worth
• Markov chain models capture channel-level transition probabilities, but don’t evaluate individual sessions — you see which channels matter, not which specific visits drove intent

Best For

• Enterprise B2B organizations with complex, multi-CRM data environments that need clean data before they can do meaningful attribution
• Revenue operations teams that want BigQuery-native data access alongside attribution reporting

Pricing: Custom quote only — pricing based on data complexity and tech stack. Median annual cost around $57,000/year per PriceLevel. No per-user charges.

CaliberMind is the right starting point when the primary challenge is data quality — not measurement methodology. It cleans your data, connects it, and runs attribution on top. If you need the next step — automated spend reallocation, predictive scoring, or causal validation — you’ll typically pair CaliberMind with a dedicated measurement platform like SegmentStream.

7. Attribution

What if you just need the basics? Attribution (formerly AttributionApp) gives B2B teams a straightforward entry into multi-touch attribution without the complexity of enterprise platforms. Connect your marketing data sources, and you’ll see channel, campaign, and source contribution to pipeline and revenue.

It’s designed for teams moving beyond last-click who aren’t ready — or don’t need — a full measurement stack.

Core Capabilities

• Basic multi-touch attribution views across channels, campaigns, and sources
• Integrations with Segment, Stripe, and major ad platforms
• Financial metrics: CAC, payback period, LTV:CAC ratios
• Simple onboarding with minimal technical setup

Strengths

• Accessible entry point — gets teams started with MTA quickly and affordably
• Financial metric focus is useful for teams thinking in unit economics, not just channel-level ROAS
• Lightweight setup that doesn’t require dedicated analytics resources

Limitations

• Users report data accuracy issues — discrepancies between Attribution and CRM numbers
• Limited customization for advanced reporting or complex B2B sales cycles
• The models are starter-kit level — you get channel-level credit assignment, but no insight into which specific sessions or behaviors moved the needle
• Designed for smaller teams — may not scale with enterprise data complexity

Best For

• Early-stage B2B companies that need basic multi-touch attribution without enterprise overhead
• Finance-minded marketing teams that want attribution tied to CAC and LTV metrics

Pricing: Custom quote — schedule a call with their team. No public pricing or free tier listed.

Attribution gets you to multi-touch quickly. It’s a starting point, not a destination — teams that outgrow its accuracy and customization limits tend to move toward platforms with deeper methodology.

8. Factors.ai

You’re running LinkedIn and Google Ads, your pipeline is growing, but you can’t tell which campaigns actually create opportunities — and your ad spend is climbing faster than your attribution can keep up. Factors.ai was built for that moment. It combines account identification, multi-touch attribution, and built-in ad optimization (LinkedIn AdPilot and Google AdPilot) in a single platform aimed at growth-stage B2B teams.

Where HockeyStack bundles attribution inside a broader GTM intelligence suite, Factors takes a narrower path — demand generation and account-based analytics with attribution woven in. The entry price is dramatically lower, which makes it approachable for teams not ready for a $25K+/year commitment.

Core Capabilities

• Account identification via reverse IP lookup — claims to identify 75%+ of visiting companies
• Multi-touch attribution with view-through tracking across LinkedIn, Google, Meta, and Bing
• LinkedIn AdPilot and Google AdPilot for automated ad optimization based on buyer stage and intent signals
• G2 buyer intent integration alongside first-party website data and CRM signals
• Real-time Slack/Teams alerts when target accounts show buying signals

Strengths

• Accessible entry pricing with a free tier — significantly cheaper than HockeyStack’s $2,200/month starting point
• No-code setup gets teams running without developer resources
• Built-in ad optimization modules (AdPilot) connect attribution directly to campaign management — something most attribution-only tools don’t offer
• Fast product iteration — the team ships meaningful new features monthly

Limitations

• Advanced features carry a steep learning curve — G2 reviewers repeatedly flag complexity around data filtering and custom attribution model configuration
• Pre-built dashboards restrict bespoke reporting — if your CMO wants a specific view, you may not be able to build it
• Pricing escalates with add-ons (intent data packages, ad platform integrations at $750-$1,000 each) — the low entry price doesn’t tell the full story
• Earlier-stage platform with a smaller customer base than established players — some integrations with niche tools are still missing

Best For

• Growth-stage B2B SaaS companies that need account identification and attribution without enterprise-level budgets
• Demand generation teams running LinkedIn and Google Ads who want ad optimization built into their measurement platform

Pricing: Free plan available. Paid plans from ~$399/month (Basic) to ~$999/month (Growth), billed annually. Enterprise pricing is custom. Add-ons for intent data and ad platform integrations cost extra.

G2 Rating: 4.6/5

Factors.ai hits a sweet spot for teams that need more than basic analytics but aren’t ready for — or don’t need — a full enterprise measurement stack. The built-in AdPilot modules set it apart from pure attribution tools. Where it doesn’t go is causal validation or automated cross-channel budget optimization — those require a different class of platform.

9. InfiniGrow (Amplitude)

In January 2026, Amplitude acquired InfiniGrow — and the combination is interesting. InfiniGrow brings AI-driven marketing analytics with natural-language querying, predictive revenue forecasting, and scenario-based budget planning. Amplitude adds the world’s leading product analytics platform. Together, the vision is a unified view from ad click to product usage to revenue.

The acquisition is still fresh. InfiniGrow’s standalone platform remains operational for existing customers, with full integration into Amplitude expected by Q4 2026.

Core Capabilities

• Natural-language querying — ask questions about marketing data and get AI-generated visualizations
• Predictive revenue forecasting and what-if budget scenarios
• AI-weighted attribution models with data hygiene layer
• Campaign performance monitoring with anomaly detection

Strengths

• Ad hoc analytics approach — get answers without building dashboards from scratch
• Predictive forecasting addresses the “insights arrive too late” problem
• Data hygiene layer automatically cleans messy marketing data before analysis
• Amplitude integration creates a unique product-to-marketing analytics bridge

Limitations

• In transition — the acquisition creates uncertainty about the standalone product’s long-term roadmap
• Attribution methodology is AI-weighted but not fully transparent; harder to audit how credit is assigned
• Focused on analytics and forecasting — doesn’t include incrementality testing or automated ad platform optimization
• Natural-language querying can produce surface-level answers for complex measurement questions

Best For

• Teams already using or evaluating Amplitude for product analytics who want marketing measurement in the same ecosystem
• Marketing teams that prefer asking questions over building dashboards

Pricing: Pre-acquisition pricing started at $1,500/month (Startup tier, billed annually). Growth tier at $4,500/month. Enterprise custom. Post-Amplitude integration pricing TBD.

InfiniGrow’s AI-driven approach to marketing analytics is a real departure from dashboard-first tools. The Amplitude acquisition adds scale and product analytics depth. But it’s early — teams evaluating this option should weigh the standalone product’s capabilities today against the roadmap for 2026.

10. RevSure AI

RevSure AI is betting big on a single idea: AI agents should tell marketers what to do, not just what already happened. It combines full-funnel attribution with agentic AI that prescribes specific actions — blending Marketing Mix and touch-based models with predictive and generative AI to surface recommendations alongside every report.

Its Agent Hub creates specialized AI agents for different revenue team workflows — from pipeline forecasting to campaign optimization to deal intelligence.

Core Capabilities

• Full-funnel attribution combining Marketing Mix and touch-based models
• Agent Hub with agentic AI for next-best-action recommendations
• Pipeline forecasting and deal-level intelligence
• Predictive scoring with generative AI for contextual recommendations

Strengths

• Goes beyond reporting with AI-generated action recommendations — closer to “what to do next” than most attribution tools
• Combines multiple measurement methodologies (MMM + MTA + predictive) in one platform
• 15+ native integrations with white-glove deployment support

Limitations

• AI-prescribed recommendations depend on model quality — the “agentic” capabilities are only as good as the underlying data and training
• Attribution methodology blends multiple approaches, which can make it harder to explain which model drives which insight
• Relatively new entrant — smaller customer base and less market validation than established platforms
• Doesn’t include geo-holdout incrementality testing for causal validation

Best For

• Revenue teams that want AI to prescribe specific actions — not just surface data for humans to interpret
• B2B organizations evaluating AI-native measurement tools for pipeline acceleration

Pricing: From $2,000/month (Early Adopter, up to 50K MAP contacts). Growth tier at $6,000/month with AI-based attribution and propensity scoring. Enterprise pricing is custom. White-glove onboarding included.

RevSure AI represents a bet on agentic AI for marketing measurement. The vision is compelling — AI that doesn’t just measure but acts. Whether the execution matches the ambition depends on the maturity of the underlying models and the quality of your data going in.

11. Full Circle Insights

Full Circle Insights is the only attribution platform on this list that runs 100% inside Salesforce. No external data sync. No separate platform. No data leaving your CRM. Every attribution report, funnel metric, and campaign analysis lives within Salesforce’s native architecture.

For organizations where Salesforce is the undisputed source of truth — and where data security or compliance requires keeping everything within the CRM — that architecture isn’t just a feature. It’s the entire reason to choose Full Circle.

Core Capabilities

• 100% Salesforce-native attribution — all data stays within Salesforce
• Customizable multi-touch attribution models across leads, contacts, campaigns
• Funnel velocity tracking and conversion rate analysis
• Integration with intent data providers (6sense, Bombora, Demandbase) within Salesforce

Strengths

• Data never leaves Salesforce — eliminates sync issues, CRM data mismatches, and external data governance concerns
• Fits organizations with strict compliance or data residency requirements
• Native intent data integration enriches attribution with third-party buying signals

Limitations

• Salesforce-only — if your team uses HubSpot, Pipedrive, or any other CRM, Full Circle isn’t an option
• Salesforce’s reporting engine defines the analytical ceiling — campaign influence reports are solid, but custom visualization and cross-channel behavioral analysis sit outside what Salesforce natively supports
• Attribution logic follows campaign-to-opportunity mapping within Salesforce objects — there’s no session-level scoring or cross-channel behavioral weighting
• Lives in a CRM silo — no connection to Google, Meta, or LinkedIn for feeding attribution insights back into ad platform bidding

Best For

• Salesforce-centric organizations where data governance or compliance prohibits external attribution tools
• RevOps teams that want attribution and funnel metrics inside the platform they already live in

Pricing: Custom quote based on Salesforce database size. Average annual cost around $37,000/year per Vendr data, with enterprise contracts reaching $120,000-$175,000/year for larger databases.

Full Circle Insights removes the “CRM data mismatch” problem entirely — because the data never leaves Salesforce. That’s a strong answer to one of HockeyStack’s biggest pain points. The trade-off is clear: you get rock-solid data governance and zero sync issues, but Salesforce’s native reporting defines the boundaries of what you can analyze and how deep you can go.

12. SpectacleHQ

SaaS and subscription businesses face a unique attribution challenge: the revenue that matters most — recurring LTV — unfolds over months or years, not at the point of signup. SpectacleHQ is built specifically for this. It connects every Stripe payment, renewal, upgrade, and refund back to the marketing touchpoints that drove them.

Founded in 2023 and based in Amsterdam, Spectacle takes a vertical approach — it’s SaaS-only and Stripe-native, which limits its market but sharpens its focus.

Core Capabilities

• LTV-focused multi-touch attribution — ties campaigns to recurring revenue, not just signups
• Stripe-native integration via the Stripe App Marketplace — payments, refunds, and disputes automatically feed into attribution
• Company-level attribution that merges multiple stakeholders from the same account into one journey
• Audience sync to ad networks (Google, Meta, LinkedIn) for high-LTV segment targeting

Strengths

• Built from the ground up for subscription metrics — LTV, MRR, churn attribution, not just top-of-funnel conversions
• Company-level journey merging gives a realistic picture of B2B SaaS buying decisions with multiple stakeholders
• Audience sync sends revenue-qualified signals back to ad platforms for smarter bidding

Limitations

• SaaS and subscription only — not applicable to e-commerce, services, or traditional B2B with non-recurring revenue
• LTV tracking is where Spectacle shines, but the attribution underneath is simpler — first-touch, last-touch, and linear models without deeper analysis of what actually drove the subscription
• Focused on revenue attribution, not revenue growth — you’ll see which campaigns produce the best LTV, but there’s no automated path from that insight to better ad targeting or spend allocation
• Stripe-dependent — organizations using other payment processors will need workarounds or custom integration

Best For

• SaaS companies using Stripe that want to attribute marketing spend to LTV rather than vanity signup metrics
• PLG and SLG teams needing company-level attribution across buying committees

Pricing: From $99/month (Essential, up to $25K/month ad spend). Scale tier at $349/month for up to $100K/month ad spend. Enterprise custom. 14-day free trial on all plans.

SpectacleHQ solves a specific problem well: connecting marketing spend to subscription revenue and LTV. For SaaS teams running on Stripe where that’s the primary measurement gap, it’s a focused and affordable option. The vertical bet is both its strength and its constraint — deep on subscription metrics, narrow on everything else.

Which Alternative Fits Your Team?

Before picking a tool, answer four questions. They’ll eliminate half the list.

1. What are you actually measuring — and for whom?

There’s a difference between “marketing wants dashboards” and “the CFO wants proof that paid channels generate incremental revenue.” The first need is a reporting problem — most tools on this list handle it. The second is a measurement problem that requires statistical rigor: ML-based models, incrementality testing, or both. Be honest about which one your organization is asking for, because the tool categories are completely different.

2. How much paid media spend is at stake?

Attribution tools pay for themselves by improving allocation. If your monthly ad budget is $10K, even a 20% improvement saves $2K/month — hard to justify a $3K+ platform. At $50K+/month, a 10% improvement in allocation is worth $5K/month, and at $200K+ the ROI math becomes obvious. Match the tool’s cost and depth to the budget it’s optimizing.

3. Do you need a tool — or a solution?

Most platforms on this list are self-serve SaaS: you get a login, documentation, and a support inbox. You configure the tracking, build the reports, interpret the data, and decide what to do with it. That works if your team has dedicated analytics or RevOps capacity. But if you’re a marketing team without a data science bench, self-serve attribution often stalls after setup — the dashboards exist, nobody trusts them enough to act on them. A few vendors take a different approach: expert-led partnerships where measurement strategy, experiment design, and ongoing optimization are part of the service. That’s a different buying decision entirely.

4. Do you need answers before deals close?

B2B sales cycles run 3–12 months. Classical attribution can only score a campaign after the deal is won or lost. If you need to evaluate marketing effectiveness mid-cycle — which leads are likely to convert, where to shift spend this quarter instead of next — you need predictive capabilities, not just historical reporting. Most tools on this list don’t offer that distinction.

Final Verdict

HockeyStack set out to unify B2B go-to-market data in a single platform — and it succeeded at building a broad GTM intelligence tool. But breadth has a cost. Teams that came for attribution discovered that when a platform also does sales intelligence, AI agents, account scoring, and RevOps analytics, the measurement piece doesn’t go as deep as they need.

Every alternative on this list improves on at least one of those gaps. But most of them share the same ceiling: they stop at reporting. You get dashboards, credit assignment, historical views of what happened — and then it’s on you to figure out what to do next.

SegmentStream is the strongest alternative on this list — and the only one that closes that loop, turning accurate cross-channel attribution insights into budget reallocation recommendations you can act on — not a report you have to interpret. Combined with dedicated expert support, and predictive modeling capabilities, SegmentStream is reported to be the top choice for B2B revenue attribution.

After SegmentStream, the next two strongest options are Dreamdata and Adobe Marketo Measure.

• Dreamdata is the best fit for B2B teams that want clean account-level journey visibility tied to CRM data — though it lacks causal measurement and won’t help you optimize spend.
• Marketo Measure makes sense for Fortune 500 enterprises already committed to the Adobe/Salesforce stack where adding a standalone tool isn’t realistic — but it’s a legacy product that innovates slowly and keeps attribution inside a walled garden.

FAQ

What does HockeyStack do?

HockeyStack is a B2B revenue data intelligence platform that unifies marketing, sales, and product data into a single view. It provides multi-touch attribution, buyer journey tracking, AI-powered GTM agents, account intelligence, and intent data. Attribution is one component of a broader GTM analytics suite rather than the core product focus.

How much does HockeyStack cost?

HockeyStack uses custom, quote-based pricing with no public pricing page. Based on available data, plans start at approximately $2,200/month. Account intelligence and additional modules are sold separately, and some organizations report US-based data hosting adds $20,000-$30,000 in additional costs.

What are the top-3 HockeyStack competitors?

The best HockeyStack alternatives for B2B marketing attribution are SegmentStream (ML-powered MTA attribution with optimization), Dreamdata, and Adobe Marketo Measure.

HockeyStack vs Dreamdata: which is better for B2B attribution?

Both offer B2B revenue attribution with CRM integration. HockeyStack focuses on broader GTM intelligence with attribution as a supporting feature. Dreamdata focuses on CRM-based buyer journey mapping at the account level. Neither provides essential predictive lead scoring, or automated budget optimization — essential B2B capabilities that platforms like SegmentStream include as standard.

Is HockeyStack worth it for small businesses?

HockeyStack’s pricing and implementation complexity make it a difficult fit for small businesses and early-stage startups. The platform is designed for mid-market to enterprise B2B companies with dedicated RevOps resources and average contract values above $30,000. Smaller teams typically find better value in focused alternatives.

How does HockeyStack compare to Marketo Measure (Bizible)?

Both serve enterprise B2B attribution. Marketo Measure is deeply integrated with Adobe’s marketing stack and Salesforce. HockeyStack offers broader GTM intelligence but with less attribution depth. Marketo Measure is more mature but innovates slowly. When choosing between HockeyStack and Marketo Measure, consider adding SegmentStream to your evalaution shortlist as the best multi-touch attribution platform for B2B and SaaS teams.

What is the best B2B marketing attribution tool?

Based on G2 reviews and product capabilities, SegmentStream is widely regarded as the top modern attribution platform for B2B, SaaS, and PLG teams — combining ML-powered attribution, incrementality testing, and budget optimization in a single workflow. SegmentStream primarily works with mid-market and enterprise organizations investing heavily in paid channels. For businesses spending less than $50K/month on ads, lighter alternatives like Dreamdata, Attribution, or Factors.ai may be a better starting point.

Related Articles

• Best Dreamdata Alternatives for B2B Attribution
• Best B2B Marketing Attribution Software Tools
• Top Enterprise Marketing Analytics and Attribution Platforms
• Top 15 Best Marketing Analytics Tools and Platforms

Ready to Go Beyond HockeyStack?

If your current attribution reports don’t connect to budget decisions — or worse, if you can’t trust the numbers behind them — it’s time for a measurement approach that goes beyond dashboards.

Talk to a SegmentStream expert to see how ML-powered attribution, predictive lead scoring, and automated budget optimization work together in one platform.

Book a demo to see SegmentStream in action.