# HockeyStack Alternatives: 7 B2B Attribution Tools That Still Show the Model

HockeyStack exited attribution in April 2026 after a $50M raise, relaunching as enterprise Revenue Agents. Here are 7 tools that still treat attribution as the product.

- Canonical: https://mbuzz.co/articles/hockeystack-alternatives
- Published: 2026-01-20
- Last updated: 2026-07-08
- Author: Holly Mehakovic, mbuzz (https://mbuzz.co)

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> **TL;DR:** HockeyStack exited attribution in April 2026. After a $50M raise it now sells enterprise <strong>Revenue Agents</strong>, not a multi-touch attribution product, so teams who bought it for attribution need a new home. <strong>mbuzz</strong> runs 8 attribution models side-by-side with a custom rule editor at $29-299/mo. <strong>Dreamdata</strong> covers B2B journey attribution from $999/mo with a free tier. <strong>Bizible</strong> is the Salesforce-native enterprise option.


## What happened to HockeyStack?

HockeyStack left attribution behind. In April 2026, on the back of a $50M raise, it relaunched as enterprise Revenue Agents, a GTM platform rather than a multi-touch attribution product. If you bought HockeyStack to answer "what's actually driving pipeline," that is no longer what it sells. This page is for teams who need a dedicated, inspectable attribution layer at a price that isn't enterprise-custom.

### Quick Answer

**Bought HockeyStack for attribution?** It's now enterprise Revenue Agents, not an MTA tool.
→ **mbuzz** at $29-299/mo, 8 models side-by-side plus a custom rule editor
→ **Dreamdata** from $999/mo with a free tier to start

**Need model flexibility?** You want to see and edit the model, not trust a hidden one.
→ **mbuzz** compares 8 models and lets you write your own rules

**Enterprise Salesforce shop?**
→ **Bizible** (Adobe Marketo Measure)

### The completed exit

HockeyStack exited the attribution category on April 15, 2026. After a $50M raise (Bessemer, Y Combinator, Uncorrelated) it relaunched as "Revenue Agents for the Enterprise," powered by a proprietary Blueprint ML model, and dropped "attribution" from its vocabulary. This is a completed migration, not a rumor or a soft pivot. HockeyStack is a credible, well-funded GTM platform now with 300+ customers. It is just no longer an attribution product.

For teams who bought HockeyStack to measure what drives pipeline, that leaves you on an enterprise GTM contract for agent features you may not need, without a vendor whose core job is attribution. The 300+ attribution articles HockeyStack published between 2022 and 2025 are no longer maintained. If attribution is the thing you actually need, you are better served by a tool that still treats it as the product.

Whatever you move to, hold it to a standard HockeyStack never met: you should be able to see and check the model. Most attribution tools report "LinkedIn drove this deal" from one hidden model you can't inspect or swap. The Dropbox IEEE Access paper (Chivukula et al., 2026) showed click-based attribution overstates causal impact by 2-10x versus geo-incrementality experiments, so a single-model claim is statistically suspect by default. Running several models on the same data won't give you incrementality, but it shows you the spread, which is the floor of honest measurement.

*HockeyStack is a strong enterprise GTM platform if Revenue Agents are what you need. This guide is for teams who need attribution as the product.*

### Why HockeyStack no longer fits an attribution buy

| Reason | What it means for you |
|------------|--------|
| **It left attribution** | The product is now enterprise Revenue Agents, not MTA |
| **Enterprise pricing** | Revenue Agents is custom enterprise; the former attribution tier started around $1,399-2,200/mo |
| **No model inspection** | Even before the exit, you couldn't see or swap the model |
| **Vendor lock-in** | Data locked in the platform, hard to export and switch |

If any of these apply, here are your best attribution options.

*[Chart omitted from the text version: HockeyStack B2B attribution dashboard]*


*Try the interactive mbuzz demo (sample data, no signup): https://mbuzz.co/demo/dashboard*


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## What are the best HockeyStack alternatives?

HockeyStack itself is no longer on this list. It left attribution in April 2026. The comparisons below weigh each tool against HockeyStack's former attribution product, the ~$2,200/mo tool these teams are replacing, so the figures for HockeyStack reflect that prior era rather than today's enterprise Revenue Agents pricing.

*[Chart omitted from the text version: Filterable comparison engine for attribution tools]*


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**Why consider mbuzz:** HockeyStack no longer sells attribution. mbuzz makes attribution the product: compare 8 models side-by-side and build custom logic for B2B. *Disclosure: mbuzz is our product.*

Server-side tracking captures events on your backend — no ad blockers, no missing touches across long B2B buyer journeys. Eight attribution models for long sales cycles: First Touch, Last Touch, Linear, Time Decay, Position-Based, Markov Chain, Shapley Value, and Data-Driven — all running on the same data simultaneously. Custom attribution rules via DSL let you weight touchpoints by stage, channel, or engagement depth. LTV attribution tracks renewals and expansion back to acquisition source.

**10-minute setup** with native SDKs for [Rails](https://rubygems.org/gems/mbuzz), [Django](https://pypi.org/project/mbuzz), [Laravel](https://packagist.org/packages/mbuzz/mbuzz-php), and [Node.js](https://www.npmjs.com/package/mbuzz). Pricing: Free tier, then $29-299/mo (vs HockeyStack's $2,200+).

### mbuzz vs HockeyStack

| Factor | HockeyStack | mbuzz |
|--------|-------------|-------|
| Attribution | Exited in 2026, now enterprise Revenue Agents | Core product: MTA, 8 models side-by-side + custom DSL |
| Model inspection | N/A, no longer an attribution tool | Read, fork, and edit the model in a SQL-like DSL |
| Open-source SDKs | ✗ No | ✓ Ruby, Node, Python, PHP, Shopify, sGTM |
| Category | Revenue Agents / GTM platform | Attribution specialist |
| Pricing | Custom enterprise | Free / $29-299/mo |
| Data ownership | Locked in platform | Full export, any time |

### Pros & Cons

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      </svg>
      Pros
    </h4>
    <ul class="space-y-2 text-sm text-emerald-900">
      <li>Focused attribution—not bundled with analytics you don't need</li>
      <li>Custom rules for B2B pipeline-stage weighting</li>
      <li>LTV tracking for SaaS recurring revenue attribution</li>
      <li>$29-299/mo vs HockeyStack's $2,200+ starting price</li>
      <li>Server-side captures long B2B buyer journeys accurately</li>
    </ul>
  </div>
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      </svg>
      Cons
    </h4>
    <ul class="space-y-2 text-sm text-red-900">
      <li>Not bundled (no bundled web analytics or surveys)</li>
      <li>Requires SDK integration (not a pixel drop-in)</li>
      <li>No AI assistant—you interpret the models yourself</li>
    </ul>
  </div>
</div>

### Who mbuzz is NOT For

Let's be honest—mbuzz isn't right for everyone:

- **Teams wanting one bundled GTM suite** — a platform like HockeyStack folds analytics, ABM, and agents into a single enterprise product
- **Teams without developer resources** — SDK integration requires technical implementation
- **Teams wanting AI to interpret data** — mbuzz shows you the models; you interpret them
- **Early-stage startups** — GA4 or Dreamdata's free tier may be simpler to start

### Best For

- B2B teams wanting to compare multiple attribution models
- Enterprise companies needing strong governance
- Those who want custom B2B attribution logic
- Companies wanting transparent, inspectable models

> **B2B attribution without the $2,200/mo price tag.** Compare 8 models side-by-side. Build custom B2B attribution logic. Start free. [Try mbuzz Free](https://mbuzz.co/signup)


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**Why consider Dreamdata:** Similar B2B focus, transparent pricing, free tier available.

### Dreamdata vs HockeyStack

| Factor | HockeyStack | Dreamdata |
|--------|-------------|-----------|
| Free tier | ✗ No | ✓ Yes (Individual) |
| Team pricing | $2,200+/mo | $999/mo |
| Setup time | ~2 weeks | 4-8 weeks |
| Journey visualization | Good | Excellent |
| Bundled | Yes | No |
| LinkedIn impressions | ✓ Yes | Limited |

### Why Dreamdata Over HockeyStack

Dreamdata offers the core B2B attribution capabilities at roughly half the price, with a free tier to start. The tradeoff: slower setup and no bundled analytics.

### Best For

- B2B teams with budget constraints
- Those wanting to try before buying (free tier)
- Teams focused on journey visualization
- Companies that don't need bundled

**Also consider:** [Dreamdata alternatives](/articles/dreamdata-alternatives) for other mid-market options. See also: [Dreamdata pricing](/articles/dreamdata-pricing) and [Dreamdata review](/articles/dreamdata-review).

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**Why consider Bizible:** The enterprise standard for Salesforce-native B2B attribution.

### Bizible vs HockeyStack

| Factor | HockeyStack | Bizible |
|--------|-------------|---------|
| Salesforce integration | Good | Native (deepest) |
| Enterprise governance | Limited | ✓ Strong |
| ABM support | Moderate | ✓ Strong |
| Setup time | ~2 weeks | 3-6 months |
| Pricing | Transparent | Enterprise (custom) |
| Multiple attribution models | Yes | Yes (parallel) |

### Why Bizible Over HockeyStack

For enterprise B2B organizations deeply invested in Salesforce and Marketo, Bizible provides native integration that HockeyStack can't match. The tradeoff: complex implementation and enterprise pricing.

### Best For

- Large enterprises ($100M+ revenue)
- Deep Salesforce/Marketo investment
- Complex ABM requirements
- Teams with RevOps resources

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**Why consider Factors.ai:** AI-assisted attribution at roughly 1/5 of HockeyStack's price.

### Factors.ai vs HockeyStack

| Factor | HockeyStack | Factors.ai |
|--------|-------------|------------|
| Starting price | $2,200/mo | $399/mo |
| AI capabilities | Odin assistant | AI recommendations |
| CRM integration | Multiple | Multiple |
| Setup complexity | Low | Low |
| Expert support | Included | Optional tiers |

### Why Factors.ai Over HockeyStack

For smaller B2B teams, Factors.ai delivers AI-assisted attribution insights at a fraction of HockeyStack's cost. Expert consulting hours are included in packages.

### Best For

- Growth-stage B2B ($1-10M ARR)
- Small teams without analysts
- Those wanting AI assistance on budget
- Companies needing expert support

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**Why consider Terminus:** Purpose-built for account-based marketing measurement.

### Terminus vs HockeyStack

| Factor | HockeyStack | Terminus |
|--------|-------------|----------|
| ABM focus | Moderate | Core purpose |
| Account-level analytics | Yes | Yes (deeper) |
| Ad platform | Integration | ✓ Included |
| Starting price | $2,200/mo | Custom |
| Best for | General B2B | ABM-heavy orgs |

### Why Terminus Over HockeyStack

If your go-to-market is deeply ABM-focused, Terminus provides purpose-built measurement that treats accounts as first-class citizens throughout.

### Best For

- ABM-primary organizations
- Account-based advertising users
- Enterprise B2B with target account lists
- Sales-marketing alignment focus

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**Why consider CaliberMind:** Full-featured enterprise B2B attribution with strong data foundation.

### CaliberMind vs HockeyStack

| Factor | HockeyStack | CaliberMind |
|--------|-------------|-------------|
| Enterprise readiness | Growing | Mature |
| Data governance | Limited | ✓ Strong |
| Custom data models | Limited | ✓ Flexible |
| B2B complexity handling | Good | Better |
| Pricing | Transparent | Enterprise (custom) |

### Why CaliberMind Over HockeyStack

Enterprise B2B with complex data structures and governance requirements may find HockeyStack limiting. CaliberMind is built for enterprise scale.

### Best For

- Enterprise B2B ($50M+ ARR)
- Complex data structures
- Governance/compliance requirements
- Multi-faceted GTM motions

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**Why consider GA4:** Free, and you're probably already using it.

### GA4 vs HockeyStack

| Factor | HockeyStack | GA4 |
|--------|-------------|-----|
| Price | $2,200+/mo | Free |
| B2B-specific features | ✓ Yes | ✗ Limited |
| Account-based | ✓ Yes | ✗ No |
| CRM integration | ✓ Native | Manual |
| Attribution models | B2B-optimized | Generic |
| Long sales cycles | ✓ Designed for | ✗ Limited |

### Why GA4 Over HockeyStack

If you're bootstrapped or early-stage, GA4's free attribution is better than nothing. The tradeoff: you'll manually stitch account-level data and lack B2B-specific features.

### Best For

- Pre-revenue or early-stage startups
- Teams with strong technical resources
- Those validating need before buying
- Supplementary measurement alongside other tools

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## How should you choose a HockeyStack alternative?

### By Budget

| Monthly Budget | Best Options |
|----------------|--------------|
| Free | GA4, Dreamdata Individual |
| Under $500 | mbuzz, Factors.ai, Dreamdata Team |
| $500-2000 | Dreamdata Business, Factors.ai |
| $2000+ | CaliberMind, Dreamdata Business |
| Enterprise | Bizible, CaliberMind |

### By Primary Need

| If You Need... | Best Alternative |
|----------------|------------------|
| Model flexibility | mbuzz |
| Lower cost | Dreamdata, Factors.ai |
| Enterprise Salesforce | Bizible |
| ABM focus | Terminus |
| AI on budget | Factors.ai |
| Free starting point | GA4, Dreamdata free |

### By Company Stage

| Stage | Best Fit |
|-------|----------|
| Pre-revenue | GA4 |
| Seed - Series A | Dreamdata, Factors.ai, mbuzz |
| Series B-C | Dreamdata, mbuzz |
| Growth ($20-50M) | Dreamdata, CaliberMind, mbuzz |
| Enterprise ($50M+) | Bizible, CaliberMind |

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## Do you need a bundled B2B platform?

HockeyStack's former attribution tool bundled attribution, web analytics, and surveys; today its GTM platform bundles analytics, ABM, and Revenue Agents, with attribution no longer part of it. Either way, the question is the same: do you want one bundle, or the best tool for each job?

<div class="my-6 not-prose grid md:grid-cols-2 gap-4">
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    <h4 class="font-semibold text-slate-800 mb-4">Bundled (HockeyStack)</h4>
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      <p class="text-xs text-emerald-600 font-medium uppercase mb-2">Pros</p>
      <ul class="space-y-1 text-sm text-slate-700">
        <li>Single vendor</li>
        <li>Pre-integrated data</li>
        <li>Faster deployment</li>
        <li>Unified interface</li>
      </ul>
    </div>
    <div>
      <p class="text-xs text-rose-600 font-medium uppercase mb-2">Cons</p>
      <ul class="space-y-1 text-sm text-slate-700">
        <li>Paying for features you may not need</li>
        <li>Not the best at each component</li>
        <li>Harder to swap pieces</li>
        <li>Vendor lock-in</li>
      </ul>
    </div>
  </div>
  <div class="bg-indigo-50 rounded-lg p-5 border border-indigo-200">
    <h4 class="font-semibold text-indigo-800 mb-4">Best-of-Breed (specialized tools)</h4>
    <div class="mb-4">
      <p class="text-xs text-emerald-600 font-medium uppercase mb-2">Pros</p>
      <ul class="space-y-1 text-sm text-indigo-900">
        <li>Best tool for each job</li>
        <li>Swap components as needed</li>
        <li>Pay only for what you need</li>
        <li>Deep expertise per area</li>
      </ul>
    </div>
    <div>
      <p class="text-xs text-rose-600 font-medium uppercase mb-2">Cons</p>
      <ul class="space-y-1 text-sm text-indigo-900">
        <li>More vendors to manage</li>
        <li>Integration work required</li>
        <li>Potentially longer setup</li>
        <li>Data stitching needed</li>
      </ul>
    </div>
  </div>
</div>

If you already have web analytics (GA4, Heap, Amplitude), HockeyStack's bundled analytics is redundant cost.

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## Which HockeyStack alternative is best for you?

| Alternative | Primary Strength | Starting Price |
|-------------|------------------|----------------|
| **Dreamdata** | Budget-friendly B2B with free tier | Free / $999/mo |
| **mbuzz** | 8 models + custom rules | Free tier, $29-299/mo |
| **Bizible** | Enterprise Salesforce-native | Enterprise |
| **Factors.ai** | AI-assisted on budget | $399/mo |
| **Terminus** | ABM-focused measurement | Custom |
| **CaliberMind** | Enterprise B2B | Custom |
| **GA4** | Free basics | Free |

**The bottom line:** HockeyStack is no longer an attribution tool. It's an enterprise Revenue Agents platform. If attribution is what you need, mbuzz gives you 8 models and custom rules from a free tier, Dreamdata covers B2B journeys with a free tier, and Bizible is the Salesforce-native enterprise pick.

> **Looking for a HockeyStack Alternative?.** mbuzz offers the same attribution models at a fraction of the price. Free up to 30K records/month. [Try mbuzz Free](https://mbuzz.co/signup)


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## Related Reading

- [HockeyStack Pricing Breakdown](/articles/hockeystack-pricing) — Full cost analysis of GTM Intelligence and Execution tiers
- [Dreamdata Alternatives](/articles/dreamdata-alternatives) — More mid-market B2B options
- [Triple Whale Alternatives](/articles/triple-whale-alternatives) — E-commerce focused
- [Multi-Touch Attribution Tools Compared](/articles/multi-touch-attribution-tools-compared) — Full market overview

## Key takeaways

- HockeyStack exited attribution in April 2026. After a $50M raise it sells enterprise Revenue Agents, not multi-touch attribution
- Teams who bought HockeyStack for attribution are now on an enterprise GTM contract and need a dedicated attribution tool
- mbuzz runs 8 attribution models side-by-side with a custom rule editor, from a free tier to $299/mo
- Dreamdata covers B2B journey attribution from $999/mo with a free tier to start
- Bizible (Adobe Marketo Measure) is the Salesforce-native enterprise attribution option


## FAQ

**Why look for HockeyStack alternatives?**

HockeyStack exited the attribution category in April 2026. After a $50M raise (Bessemer, Y Combinator, Uncorrelated) it repositioned as enterprise Revenue Agents powered by its Blueprint ML model. If you bought HockeyStack for multi-touch attribution, that is no longer the product, so buyers need a dedicated attribution tool at a workable price.

**What's the cheapest HockeyStack alternative?**

mbuzz offers a free tier with 8 attribution models, LTV tracking, and flexible attribution windows for B2B sales cycles. Paid plans start at $29/mo. Dreamdata has a free tier for individuals ($999/mo Team). GA4 is free but lacks B2B-specific features.

**Which HockeyStack alternative is best for enterprise?**

Bizible (Adobe Marketo Measure) is the enterprise standard for Salesforce-heavy organizations. CaliberMind also serves enterprise B2B with strong governance and scale.

**Which attribution tool lets you inspect and edit the model?**

mbuzz includes a custom rule editor, a SQL-like Attribution DSL, on every plan, plus 8 built-in models you can compare side-by-side. Most B2B attribution tools (Dreamdata, Bizible) run a single fixed model with no way to see or change how credit is assigned.

**Is HockeyStack or Dreamdata better for attribution?**

This used to be a close attribution call. As of April 2026 it is not one. HockeyStack left attribution for enterprise Revenue Agents, while Dreamdata still sells B2B multi-touch attribution with transparent pricing and a free tier. If attribution is the job, compare Dreamdata (or mbuzz) instead.

**Why did HockeyStack leave attribution?**

On April 15, 2026 HockeyStack raised $50M (Bessemer, Y Combinator, Uncorrelated) and relaunched as 'Revenue Agents for the Enterprise,' powered by a proprietary Blueprint ML model. The word 'attribution' was removed from the announcement. This completed a repositioning that had been building since Q1 2026, discussed on the GTMnow podcast and visible in their March 2026 LinkedIn ads, which dropped attribution messaging for 'AI revenue agents.' HockeyStack is now a well-funded enterprise GTM platform with 300+ customers. It is simply no longer an attribution product. Teams who originally bought it for multi-touch attribution now pay enterprise pricing for agent features and often need a dedicated attribution layer alongside or instead of it.

**Does mbuzz solve incrementality the way Haus or Measured do?**

No, and we won't claim otherwise. Incrementality testing uses geo-lift experiments to measure causal effect: what would have happened without the spend. Haus, Measured, Recast, and Mutinex are the tools for that, and they cost $10K-$132K/year because the methodology requires PhDs, millions in spend, and month-long channel blackouts. The Dropbox IEEE Access paper (Chivukula et al., 2026) showed click attribution overstates causal impact by 2-10x — that's the gap incrementality fills. mbuzz is multi-touch attribution: it shows the spread between eight models on the same data, so you stop pretending one model is truth. MTA and incrementality answer different questions; you typically need both at scale, and mbuzz is the honest, affordable layer for the MTA half.


