# Multi-Touch Attribution Tools Compared: The Complete 2026 Guide

25+ multi-touch attribution platforms compared—from enterprise giants to scrappy startups. Features, pricing, and how to find the right MTA tool for your business.

- Canonical: https://mbuzz.co/articles/multi-touch-attribution-tools-compared
- Published: 2026-01-20
- Last updated: 2026-07-08
- Author: Holly Mehakovic, mbuzz (https://mbuzz.co)

---

> **TL;DR:** Most attribution tools make you choose: sophisticated ML you can't verify, or basic rules that oversimplify. <strong>Shopify?</strong> Triple Whale for simplicity, Northbeam for enterprise. <strong>B2B SaaS?</strong> Dreamdata for journey viz, Factors.ai for account-based on a budget. <strong>Want transparency?</strong> mbuzz—8 inspectable models + custom rules. <strong>Enterprise Salesforce?</strong> Bizible, no contest.


## The Real Question

You're not here to read about 50 attribution tools. You're here because you need to pick one and get back to work.

### Quick Answer

**B2B SaaS?**
→ **Dreamdata** for customer journey visualization
→ **Factors.ai** for account-based attribution on a budget

**B2B SaaS with long sales cycles?**
→ **Dreamdata** for pipeline attribution
→ **Bizible** if you're on Salesforce

**Running a Shopify store?**
→ **Triple Whale** for plug-and-play simplicity
→ **Northbeam** for enterprise Shopify Plus with big ad spend
→ **Rockerbox** if you also run offline channels (TV, podcasts)

**Want transparency, not a black box?**
→ **mbuzz**—8 models you can inspect, custom rules you control
→ **Funnel** for MTA + MMM with 500+ connectors

### The Uncomfortable Truth

Most attribution tools fall into two camps: **sophisticated but opaque** (ML models you can't inspect) or **simple but limited** (basic rules that oversimplify). The "enterprise" tools charge $50K+ for algorithms you have to trust blindly. The cheap tools give you last-click with lipstick.

The real question isn't "which tool has the most features?" It's "which tool will I actually trust enough to make decisions with?"

*Full disclosure: mbuzz is our product and is included in this comparison. We've tried to be honest about where competitors are the better choice.*

### The Market Gap: Sophisticated AND Transparent

Most attribution tools make you choose. The sophisticated ones (ML-powered, multi-model) are black boxes—you can't inspect how they calculate credit. The transparent ones are basic—simple rules you can understand, but limited depth.

**The gap:** Almost no one offers sophisticated attribution you can actually inspect and edit.

*[Chart omitted from the text version: Attribution Market Quadrant - Transparency vs Sophistication]*


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


## Find Your Attribution Tool

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


---

## Transparent / Developer-First Attribution

### mbuzz

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Technical teams wanting inspectable, customizable attribution without enterprise pricing

| Aspect | Details |
|--------|---------|
| **Pricing** | Free (30K events), $29/mo (1M), $99/mo (5M), $299/mo (25M) |
| **Setup Time** | 10 minutes |
| **Tracking** | Server-side (95%+ event capture) |
| **Unique Feature** | 8 attribution models + custom rules via DSL |

*Full disclosure: mbuzz is our product. We'll tell you when competitors are the better choice.*

**Strengths:**
- Server-side tracking captures 95%+ of events (vs 60-70% with client-side)
- 8 built-in models including Markov Chain and Shapley Value—compare side-by-side
- Custom attribution rules via DSL—define your own logic
- Native SDKs for [Rails](https://rubygems.org/gems/mbuzz), [Django](https://pypi.org/project/mbuzz), [Laravel](https://packagist.org/packages/mbuzz/mbuzz-php), [Node.js](https://www.npmjs.com/package/mbuzz) — [setup guide](/docs/getting-started)
- Transparent pricing, no sales calls, export everything

**Limitations:**
- Newer player with less market presence
- No built-in podcast/TV proxy tracking (digital-focused)
- Non-Shopify platforms require SDK integration (straightforward for developers)
- No AI-powered recommendations or automated budget optimization

**Who mbuzz is NOT For:**
- Heavy podcast/TV advertisers → Rockerbox handles offline attribution better
- Teams who want a single "magic number" → mbuzz shows multiple models by design
- Enterprise B2B on Salesforce → Bizible is purpose-built for that

---

## Enterprise MTA Platforms

These tools are designed for large organizations with complex tech stacks, significant budgets, and dedicated analytics teams.

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Enterprise B2B companies in the Adobe/Salesforce ecosystem

| Aspect | Details |
|--------|---------|
| **Pricing** | Enterprise (custom, typically $50K+/year) |
| **Setup Time** | 3-6 months |
| **CRM Integration** | Deep Salesforce & Dynamics native |
| **Attribution Models** | Multiple parallel models |

**Strengths:**
- Native Salesforce integration—no data sync issues
- Can run multiple attribution models simultaneously
- Strong ABM (account-based marketing) support
- Part of Adobe Marketing Cloud ecosystem

**Limitations:**
- Expensive and complex implementation
- Requires dedicated RevOps resources
- Fixed rule-based models (less flexible than ML-driven)
- Heavy Adobe/Salesforce lock-in

**Best fit:** Enterprise B2B companies already invested in Salesforce + Adobe Marketo who need account-level attribution and have RevOps teams to manage it.

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Large organizations in the Google ecosystem

| Aspect | Details |
|--------|---------|
| **Pricing** | Enterprise (custom, typically $150K+/year) |
| **Setup Time** | 2-4 months |
| **Integration** | Native Google Ads, DV360, Search Ads 360 |
| **Attribution Models** | Data-driven (Shapley-based) + rule-based |

**Strengths:**
- Deep Google Ads integration
- Data-driven attribution using Shapley values
- BigQuery export for custom analysis
- Connected TV and YouTube measurement

**Limitations:**
- Expensive
- Biased toward Google properties
- Limited non-Google channel visibility
- Requires 400+ conversions for data-driven model

**Best fit:** Large advertisers spending heavily on Google properties who want sophisticated modeling within Google's ecosystem.

---

## B2B SaaS Attribution Tools

These platforms focus on long sales cycles, multiple stakeholders, and CRM integration.

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Update (April 2026): HockeyStack has left the attribution category.** After a $50M raise (Bessemer, Y Combinator, Uncorrelated Ventures), HockeyStack now sells "Revenue Agents for the Enterprise," an autonomous GTM platform. It is no longer a dedicated attribution tool. If you are shopping for MTA, HockeyStack is not a like-for-like option anymore. Teams that originally bought it for attribution are now paying enterprise pricing for agent features, and many of them are back in the market for a standalone attribution tool.

**Best for:** Enterprise B2B revenue teams that want autonomous GTM agents (not buyers shopping for standalone attribution)

| Aspect | Details |
|--------|---------|
| **Pricing** | $1,399+/mo (last disclosed); custom for the Revenue Agents tier |
| **Setup Time** | Enterprise implementation |
| **CRM Integration** | Salesforce, HubSpot, Pipedrive |
| **Category (2026)** | Revenue Agents platform, not MTA |

**Strengths:**
- $50M in funding from top-tier VCs
- 300+ customers in under two years
- Blueprint ML model plus a suite of revenue agents
- Connects GTM data across marketing, sales, and product

**Limitations (as an attribution tool):**
- No longer sold as a dedicated attribution product
- Enterprise pricing floor ($1,399+/mo) prices out the practitioner tier
- Attribution is a feature inside a broader agent platform, not the core product
- Former attribution customers are under-served and often need a replacement

**Best fit:** Enterprise B2B SaaS ($10M+ ARR) that wants autonomous revenue agents. If you specifically need transparent, inspectable multi-touch attribution, look at Dreamdata, Factors.ai, or mbuzz instead.

[See all HockeyStack alternatives →](/articles/hockeystack-alternatives)

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Data-driven B2B marketing teams focused on pipeline

| Aspect | Details |
|--------|---------|
| **Pricing** | Free (individual), $999/mo (Team), $2,400/mo (Business) |
| **Setup Time** | 4-8 weeks |
| **CRM Integration** | Multiple sources |
| **Unique Feature** | Customer journey visualization |

**Strengths:**
- Strong customer journey mapping
- Connects marketing to pipeline and revenue
- Content analytics included
- Reasonable pricing for mid-market

**Limitations:**
- Lengthy setup process
- Challenging data verification
- Needs Looker for custom visualization
- Limited ABM features for enterprise

**Best fit:** Mid-market B2B companies ($2-20M ARR) who are data-driven and want clear pipeline attribution.

[See all Dreamdata alternatives →](/articles/dreamdata-alternatives)

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** B2B teams wanting AI-powered insights

| Aspect | Details |
|--------|---------|
| **Pricing** | $399/mo (Starter), $799/mo (Growth), Custom (Enterprise) |
| **Setup Time** | 2-4 weeks |
| **Focus** | AI-driven revenue attribution |
| **Unique Feature** | Consulting hours included in packages |

**Strengths:**
- AI-powered recommendations
- Combines attribution with account identification
- More affordable than enterprise B2B platforms
- Expert support included in pricing

**Limitations:**
- Newer player, less market validation
- Limited enterprise features
- Smaller integration ecosystem

**Best fit:** Growth-stage B2B companies ($1-10M ARR) who want AI assistance and don't have large analytics teams.

---

## E-commerce / DTC Attribution Tools

These platforms specialize in ad tracking, ROAS measurement, and e-commerce integrations.

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Shopify stores of all sizes

| Aspect | Details |
|--------|---------|
| **Pricing** | Free / Growth $129 / Pro $199 / Enterprise $279/mo (revenue-based) |
| **Setup Time** | Days |
| **Platform** | Shopify-only |
| **Unique Feature** | Moby agentic AI (Claude-powered) + tight Shopify integration |

**Strengths:**
- Easiest setup for Shopify stores
- Free tier plus low paid pricing (Growth $129, Pro $199, Enterprise $279)
- Moby agentic AI, MMM, and Anteater LLM brand visibility tracking
- Simple, marketer-friendly interface

**Limitations:**
- Shopify-only (no WooCommerce, Magento, custom stacks)
- Client-side pixel misses 30-40% of events that server-side SDKs capture
- Preset models only, no custom attribution DSL
- 12-month contracts required for published pricing

**Best fit:** Shopify stores that want simple, affordable attribution with AI-assisted recommendations. If you sell on any non-Shopify platform, Triple Whale does not work for you.

[See all Triple Whale alternatives →](/articles/triple-whale-alternatives)

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Enterprise DTC brands with sophisticated media buying

| Aspect | Details |
|--------|---------|
| **Pricing** | From $1,500/mo (Starter, under $250K/mo spend); ~$2,500 Professional; no free tier |
| **Setup Time** | 2-4 weeks |
| **Platform** | Platform-agnostic |
| **Unique Feature** | MTA + MMM + Incrementality in one product |

**Strengths:**
- Machine learning built for sophisticated media buyers
- Bundles MTA, MMM, and incrementality lift testing in one product (April 2026)
- All sales reconcile to actual revenue, no double-counting
- Ad platform data partnerships with Meta, TikTok, Snap, and Pinterest

**Limitations:**
- $1,500/mo floor and no free tier price out smaller brands
- Black-box ML you cannot inspect
- A Meta-sanctioned Apex partner, not an independent measurement source
- Incrementality is Meta-only and US-only at launch

**Best fit:** DTC brands spending $250K+/month on paid media with dedicated media buying teams.

[See all Northbeam alternatives →](/articles/northbeam-alternatives)

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Multi-channel brands including offline

| Aspect | Details |
|--------|---------|
| **Pricing** | From $200/mo (free tier available) |
| **Setup Time** | 2-4 weeks |
| **Unique Feature** | Podcast, direct mail, OTT/CTV tracking |

**Strengths:**
- Tracks difficult channels (podcasts, TV, direct mail)
- Marketing Mix Modeling (MMM) included
- Good for brand + performance marketing mix
- Suitable for CMO-level strategic decisions

**Limitations:**
- Less suited for tactical daily optimization
- Complex for smaller teams
- Enterprise focus despite lower starting price

**Best fit:** Brands investing in awareness channels (podcasts, TV, influencers) who need to measure upper-funnel impact.

[See all Rockerbox alternatives →](/articles/rockerbox-alternatives)

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** High-ticket e-commerce and info products

| Aspect | Details |
|--------|---------|
| **Pricing** | From ~$500/mo (6-month commitment) |
| **Setup Time** | 2-4 weeks |
| **Unique Feature** | AI ad optimization integration |

**Strengths:**
- Strong for high-ticket/long sales cycles
- Claims 20% ROI improvement from AI optimization
- Deep ad platform integrations
- Works for info products, courses, coaching

**Limitations:**
- 6-month minimum commitment
- Invite-only, opaque pricing
- Less transparent than competitors
- Mixed reviews on actual AI performance

**Best fit:** High-ticket sellers ($500+ AOV) in the info product, coaching, or B2C space who want AI optimization.

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** E-commerce brands focused on LTV

| Aspect | Details |
|--------|---------|
| **Pricing** | From $250-$497/mo |
| **Setup Time** | 1-2 weeks |
| **Unique Feature** | Lifetime value (LTV) attribution |

**Strengths:**
- Strong LTV and cohort analysis
- Works for both B2B and e-commerce
- Integrates with Shopify, Klaviyo, ReCharge
- CPA and LTV metrics (unlike some competitors)

**Limitations:**
- Less brand recognition than Triple Whale/Northbeam
- Interface could be more polished
- Limited view-through attribution

**Best fit:** E-commerce brands with subscription revenue or high repeat purchase rates who care about LTV, not just first-purchase ROAS.

---

## Multi-Model Attribution Platforms

These tools give you multiple attribution models to compare—not just one black-box answer.

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Brands wanting complete measurement stack

| Aspect | Details |
|--------|---------|
| **Pricing** | Custom |
| **Approach** | MTA + MMM + Incrementality + Causal AI |
| **Unique Feature** | Four measurement methods in one platform |

**Strengths:**
- True unified measurement (MTA + MMM + model flexibility + causal AI)
- Real-time processing
- Cross-device tracking
- Designed for privacy-first world

**Limitations:**
- Higher complexity
- Newer, less market penetration
- Requires commitment to learn the platform

**Best fit:** Sophisticated marketing teams who understand triangulation and want a single platform for unified measurement.

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Warehouse-native cross-channel measurement for data-mature teams

| Aspect | Details |
|--------|---------|
| **Pricing** | $800/mo (Online), $1,200/mo (Full Funnel), $5,000/mo (Enterprise) |
| **Approach** | Warehouse-native measurement computed in your own BigQuery, with an MCP server on every tier |
| **Unique Feature** | Visit Scoring ML attribution, geo-lift incrementality, marginal-ROAS budget allocation |

**Strengths:**
- Runs inside your own BigQuery, so the data does not leave your environment (on the bring-your-own-warehouse path)
- Geo-lift incrementality and automated budget allocation built in
- Mature MCP server (60+ tools) for querying attribution from an AI agent
- Ingests platform cost data and distributes it against its own session tracking rather than re-modeling platform conversions

**Limitations:**
- Server-side conversion tracking is Enterprise-only ($5,000/mo); the $800-$1,200 tiers rely on client-side tags (GTM/GTAG/SDK/GA4 export)
- Needs a cloud data warehouse and typically a data team; setup takes several days
- Qualifies clients around $50,000/mo ad spend, and there is no free trial (paid POC only)

**Best fit:** Data-mature teams already living in BigQuery, spending $50k+/mo, that want composable measurement they own and can wire into agents.

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Data teams wanting MTA + MMM

| Aspect | Details |
|--------|---------|
| **Pricing** | Custom |
| **Approach** | MTA + MMM + Incrementality |
| **Unique Feature** | Data warehouse-friendly, 500+ connectors |

**Strengths:**
- Combines MTA, MMM, and model flexibility
- 500+ data connectors
- Works with your data warehouse
- Flexible for data teams

**Limitations:**
- Requires data team involvement
- More infrastructure than plug-and-play tools
- Premium pricing

**Best fit:** Data-mature organizations with modern data stacks who want unified measurement without vendor lock-in.

---

## Mobile Attribution (App-Focused)

These tools specialize in mobile app measurement, including install attribution, deep linking, and fraud prevention.

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Mobile-first companies needing full attribution

| Aspect | Details |
|--------|---------|
| **Pricing** | Free (Essential), Custom (Pro/Enterprise) |
| **Focus** | Multi-touch mobile attribution |
| **Unique Feature** | Fraud prevention suite |

**Strengths:**
- Industry leader in mobile attribution
- Strong fraud prevention
- SKAdNetwork support
- Raw data access

**Limitations:**
- Expensive at scale
- Primarily mobile (limited web)
- Complex for simple use cases

**Best fit:** Mobile-first companies (apps driving >50% of revenue) who need accurate install attribution and fraud prevention.

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Privacy-conscious mobile apps

| Aspect | Details |
|--------|---------|
| **Pricing** | Free tier, MAU-based paid plans |
| **Focus** | Mobile attribution + fraud prevention |
| **Unique Feature** | Strong privacy positioning |

**Strengths:**
- Privacy-first approach
- Strong fraud suite
- Good automation features
- Acquired by AppLovin (resources)

**Limitations:**
- Less multi-touch than AppsFlyer
- AppLovin ownership raises neutrality questions
- Expensive at scale

**Best fit:** Mobile apps prioritizing privacy and fraud prevention, especially in regulated industries.

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** Cross-platform user experiences

| Aspect | Details |
|--------|---------|
| **Pricing** | Free (startups), Custom (enterprise) |
| **Focus** | Deep linking + attribution |
| **Unique Feature** | Industry-leading deep linking |

**Strengths:**
- Best deep linking in the industry
- Good for web-to-app journeys
- Free tier for startups
- People-based attribution

**Limitations:**
- Deep linking focus—attribution is secondary
- Less sophisticated than AppsFlyer for pure attribution
- Complex setup for full features

**Best fit:** Companies with significant web-to-app flows who need seamless user experiences and measurement together.

---

## Web/General Attribution Tools

These tools work for a variety of businesses without being specialized for B2B or DTC.

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** SMBs with significant phone leads

| Aspect | Details |
|--------|---------|
| **Pricing** | From £349/mo |
| **Focus** | Web + call attribution |
| **Unique Feature** | Call tracking included |

**Strengths:**
- Combines web and call tracking
- First-party cookie focus
- Good for service businesses
- Affordable for SMBs

**Limitations:**
- UK-based (GBP pricing)
- Limited enterprise features
- UI needs modernization

**Best fit:** Service businesses (agencies, home services, B2B services) where phone calls are a significant conversion path.

[See all Ruler Analytics alternatives →](/articles/ruler-analytics-alternatives)

---

*[Chart omitted from the text version: Section header with competitor logo for articles]*


**Best for:** E-commerce brands wanting flexibility

| Aspect | Details |
|--------|---------|
| **Pricing** | Various tiers |
| **Focus** | Flexible MTA models |
| **Unique Feature** | Easy model switching |

**Strengths:**
- Switch between attribution models easily
- Simple setup
- Multi-channel tracking
- Creative analysis features

**Limitations:**
- Less sophisticated than enterprise tools
- Newer player
- Limited integrations vs established tools

**Best fit:** Growing e-commerce brands who want to experiment with different attribution models without complexity.

---

## How to Choose: Decision Framework

### By Business Type

| Business Type | Recommended Tools | Why |
|--------------|-------------------|-----|
| **Shopify store (under $10M)** | Triple Whale, mbuzz | Shopify-native simplicity, or model flexibility |
| **Shopify Plus ($10-50M)** | Northbeam, Triple Whale | ML modeling, enterprise features |
| **DTC ($50M+)** | Northbeam, Rockerbox | Enterprise features, offline tracking |
| **B2B SaaS (early)** | Factors.ai, Dreamdata | Affordable, account-based |
| **B2B SaaS (growth)** | Dreamdata, Factors.ai | Journey visualization, account-based |
| **B2B Enterprise** | Bizible, Terminus | Salesforce-native, ABM |
| **Mobile apps** | AppsFlyer, Adjust | Install attribution, fraud |
| **Multi-channel brands** | Rockerbox, Lifesight | Podcast/TV tracking |
| **Developer teams** | mbuzz, Funnel | SDKs, custom models, data warehouse |
| **Data-mature teams** | Funnel, SegmentStream, mbuzz | Unified measurement, custom logic |

### By Budget

| Monthly Budget | Options |
|---------------|---------|
| **Free** | GA4 (limited), mbuzz (30K events), Branch (startups) |
| **$29-$300/mo** | mbuzz, Triple Whale (Shopify) |
| **$300-$1,000/mo** | Rockerbox, Dreamdata (free tier), Hyros, SegmentStream (Online) |
| **$1,000-$2,500/mo** | Northbeam, Dreamdata, Ruler Analytics, SegmentStream (Full Funnel) |
| **$2,000-$5,000/mo** | Northbeam Professional, Factors.ai, Dreamdata Business |
| **$5,000+/mo** | Rockerbox Enterprise, Lifesight, SegmentStream (Enterprise) |
| **Enterprise** | Bizible, GA360, Neustar |

### By Tech Stack

| If You Use... | Consider |
|--------------|----------|
| **Shopify** | Triple Whale, Northbeam, mbuzz |
| **Salesforce** | Bizible, Dreamdata |
| **HubSpot** | Factors.ai, Dreamdata, mbuzz |
| **Rails, Django, Laravel, Node.js** | mbuzz ([native SDKs](/docs/getting-started)) |
| **Google Ads heavy** | GA4, Google Attribution 360 |
| **Mobile apps** | AppsFlyer, Adjust, Branch |
| **Modern data stack** | Funnel, SegmentStream, mbuzz |

## The Future: Where MTA is Headed

### Trend 1: Unified Measurement

Pure MTA is being replaced by triangulated approaches combining MTA + MMM + model flexibility. Platforms like Lifesight, Funnel, and SegmentStream are leading this shift.

### Trend 2: Privacy-First / Cookieless

With iOS ATT and Chrome deprecating third-party cookies (eventually), AI-driven and first-party data approaches are the way forward. SegmentStream's visit scoring and Lifesight's causal AI represent this future.

### Trend 3: Consolidation

Expect acquisitions: Adobe bought Bizible, AppLovin bought Adjust. Smaller players will be acquired or fade as the market matures.

### Trend 4: AI Everywhere

Every tool now claims "AI-powered" attribution. The meaningful distinction is whether AI is cosmetic (chatbots on top of reports) or substantive (ML models that actually improve measurement accuracy).

---

## Summary

The MTA market is crowded, but the right choice depends on your specific situation:

| If You Are... | Start With |
|--------------|------------|
| Small Shopify store | Triple Whale |
| Large DTC brand | Northbeam or Rockerbox |
| B2B SaaS | Dreamdata or Factors.ai |
| Enterprise B2B | Bizible (Adobe) |
| Mobile-first | AppsFlyer or Adjust |
| Want transparent, inspectable models | mbuzz |
| Developer team with custom needs | mbuzz |
| Multi-channel (TV, podcasts, offline) | Rockerbox or Lifesight |
| Data-mature, privacy-focused | SegmentStream or Lifesight |
| Budget-conscious | GA4 (free) or mbuzz (free tier) |

**No tool is perfect.** The best approach is often:
1. Start with a tool matched to your size and stack
2. Compare multiple models to understand how credit allocation shifts
3. Graduate to unified measurement as you scale

> **Try mbuzz Free.** Server-side tracking (95%+ event capture), 8 attribution models + custom rules. Free up to 30K records/month. [Start Free](https://mbuzz.co/signup)


## Alternatives by Tool

Looking to switch from a specific platform? See all alternatives:

**E-commerce / DTC:**
- [Triple Whale Alternatives](/articles/triple-whale-alternatives) — Beyond Shopify-only attribution
- [Northbeam Alternatives](/articles/northbeam-alternatives) — Enterprise DTC options
- [Cometly Alternatives](/articles/cometly-alternatives) — Beyond paid-ads attribution
- [Rockerbox Alternatives](/articles/rockerbox-alternatives) — Multi-channel measurement
- [Hyros Alternatives](/articles/hyros-alternatives) — Beyond high-ticket attribution

**B2B SaaS:**
- [HockeyStack Alternatives](/articles/hockeystack-alternatives) — B2B attribution platforms
- [Dreamdata Alternatives](/articles/dreamdata-alternatives) — Revenue attribution options

**General:**
- [GA4 Attribution Alternatives](/articles/ga4-attribution-alternatives) — Beyond Google's Data-Driven model

## Head-to-Head Comparisons

Direct head-to-head comparisons between mbuzz and top competitors:

- [mbuzz vs HockeyStack](/articles/mbuzz-vs-hockeystack) — B2B attribution: model flexibility vs all-in-one
- [mbuzz vs GA4 Attribution](/articles/mbuzz-vs-ga4-attribution) — Do you need a dedicated attribution tool?
- [mbuzz vs Cometly](/articles/mbuzz-vs-cometly) — All-channel vs paid-ads attribution
- [mbuzz vs Dreamdata](/articles/mbuzz-vs-dreamdata) — B2B attribution for different stages
- [mbuzz vs Triple Whale](/articles/mbuzz-vs-triple-whale) — Attribution beyond Shopify
- [mbuzz vs Northbeam](/articles/mbuzz-vs-northbeam) — Transparent vs ML attribution

## Key takeaways

- Most 'sophisticated' tools are black boxes—you trust the number or you don't
- Shopify-only tools (Triple Whale) won't work if you ever leave Shopify
- B2B attribution is a different game—6+ month sales cycles break simple models
- The cheapest option (GA4) removed most attribution models in 2023
- Server-side tracking captures 30-40% more data than client-side pixels


## FAQ

**What's the cheapest multi-touch attribution tool?**

GA4 is free but limited—Google removed most attribution models in 2023. HubSpot includes basic attribution in Marketing Hub. For dedicated MTA, mbuzz offers a free tier (1,000 events/month), and Triple Whale starts at $129/month for Shopify stores. Paid plans generally range from $29/month to $2,000+/month depending on features and scale.

**Which MTA tool is best for Shopify?**

Triple Whale is the most popular Shopify-native option—easy setup, affordable, built specifically for Shopify stores. For enterprise Shopify Plus ($250K+/month ad spend), Northbeam provides ML-powered modeling. If you want to compare multiple attribution models or need server-side tracking, mbuzz also supports Shopify via SDK.

**Which MTA tool is best for B2B SaaS?**

Dreamdata and Factors.ai lead the dedicated B2B attribution category. Dreamdata excels at customer journey visualization. Factors.ai is a good option for smaller B2B teams wanting account-based insights. For enterprise B2B in Salesforce, Bizible remains the standard. Note that HockeyStack exited attribution in April 2026 to sell Revenue Agents, so it is no longer a dedicated MTA tool. Teams that bought it for attribution now need a separate attribution product.

**Do I need a separate mobile attribution tool?**

If mobile apps are a significant part of your business, yes. AppsFlyer, Adjust, and Branch specialize in app install attribution, deep linking, and mobile fraud prevention—capabilities web-focused MTA tools don't provide.

**Should I get a tool with multiple attribution models?**

Comparing multiple models helps you understand how credit shifts between channels under different assumptions. Tools like mbuzz (8 models), Lifesight (MTA + MMM + incrementality), and Funnel (MTA + MMM) let you compare approaches. Single-model tools force you to trust one answer blindly.