When your ad spend scales, so does the pressure to know exactly which campaigns, channels, and touchpoints are driving revenue. Hyros and Northbeam are two of the most recognized names in marketing attribution, and both promise to give you a clearer picture of your marketing performance. But choosing between them, or deciding whether either one is the right fit for your business, requires more than a feature checklist.
It requires a strategic framework built around your specific goals, data infrastructure, and growth stage.
Hyros was built with a focus on email-based funnels and high-ticket offer businesses, using AI-driven attribution that emphasizes phone call and email tracking. Northbeam has been positioned strongly toward ecommerce and DTC brands, offering cross-channel attribution with a focus on ad spend optimization. Neither platform was originally designed with B2B SaaS pipeline attribution as a core use case.
This article breaks down seven practical strategies for evaluating Hyros and Northbeam side by side. Whether you are a B2B SaaS marketing team trying to connect ad spend to pipeline, or a growth leader scaling paid acquisition across multiple channels, these strategies will help you make a confident, data-backed decision. And if neither platform fully meets your needs, we will also show you how a purpose-built B2B SaaS attribution solution like Cometly might be the better fit.
9 Best Attribution Platforms for Agencies in 2026
1. Align Your Attribution Needs With Your Business Model
The Challenge It Solves
Many marketing teams jump straight into feature comparisons without first asking a more fundamental question: was this platform built for a business like mine? Attribution tools are not one-size-fits-all. Hyros and Northbeam were each shaped by the specific customer journeys and revenue models of their early adopters, and those origins have a significant impact on what each platform does well.
The Strategy Explained
Hyros grew out of a need to track high-ticket funnels, info products, and coaching businesses where email sequences and phone calls play a central role in converting leads. Its AI attribution logic reflects that lineage. Northbeam, on the other hand, has deep roots in ecommerce and DTC, where the purchase cycle is short and the focus is on optimizing paid media spend across channels like Meta and Google.
B2B SaaS companies operate very differently. Sales cycles are longer, multiple stakeholders are involved in purchase decisions, and revenue is often recurring rather than transactional. Many B2B SaaS teams find that attribution platforms designed for ecommerce or high-ticket info products struggle to map cleanly onto pipeline stages, MQL-to-SQL conversion events, and closed-won revenue. Before evaluating any platform on features, confirm that its core attribution logic was designed for your B2B revenue attribution model.
Implementation Steps
1. Document your customer journey from first touch to closed-won deal, including all offline and CRM-tracked events.
2. Identify the specific revenue metrics your marketing team is accountable for, such as pipeline contribution, MQL volume, or influenced revenue.
3. Review each platform's documentation and positioning to determine which business model it was originally designed to serve.
4. Ask each vendor directly: how does your platform handle B2B pipeline attribution with multi-stakeholder journeys?
Pro Tips
Do not rely solely on vendor marketing pages to assess fit. Look at the types of customers each platform prominently features in its content and testimonials. If you see mostly ecommerce brands or info product businesses, that tells you something important about where the platform's attribution logic was stress-tested.
2. Evaluate Multi-Touch Attribution Model Support
The Challenge It Solves
Attribution models determine how credit is assigned across the touchpoints in a customer journey. Choosing the wrong model, or being locked into a model that does not reflect your sales cycle, means your data will consistently mislead your budget decisions. This is one of the most consequential technical decisions in any attribution evaluation.
The Strategy Explained
Standard attribution models include first touch, last touch, linear, time decay, and position-based. More advanced platforms offer data-driven or algorithmic attribution that weights touchpoints based on observed conversion patterns. The right model for your business depends on your sales cycle length, the number of touchpoints in a typical journey, and how your team uses attribution data to make decisions.
For B2B SaaS companies with long sales cycles, first-touch and last-touch models often produce misleading conclusions. A prospect might interact with a LinkedIn ad, attend a webinar, read three blog posts, and then convert on a Google branded search. Crediting only the first or last touch ignores the full picture. Evaluate whether Hyros and Northbeam allow you to compare multiple attribution models simultaneously, and whether they support the model that best reflects how your buyers actually make decisions.
Implementation Steps
1. Map out a typical multi-touch customer journey for your highest-value customer segment.
2. List the attribution models each platform supports and whether you can switch between them in reporting.
3. Test each platform's model outputs against a known set of conversions to see whether the credit distribution makes logical sense for your funnel.
4. Confirm whether the platform supports custom or data-driven attribution, and what data volume is required to activate it.
Pro Tips
Platforms that only offer one or two attribution models are often optimized for simpler, shorter purchase cycles. If your sales cycle spans weeks or months, prioritize platforms that let you compare model outputs side by side so your team can make informed decisions rather than defaulting to a single, potentially misleading view.
3. Compare Cross-Channel Tracking Depth and Accuracy
The Challenge It Solves
B2B SaaS marketing teams rarely operate on a single channel. Most run paid search on Google, paid social on LinkedIn and Meta, organic content, email nurture sequences, and sometimes events or webinars simultaneously. When attribution data is siloed by channel or inconsistently tracked across platforms, you end up making budget decisions based on incomplete information.
The Strategy Explained
Cross-channel attribution accuracy is not just about how many channels a platform supports. It is about how consistently and reliably it tracks user behavior as that person moves across channels over time. Identity resolution, the ability to stitch together multiple touchpoints into a single user journey, is where many attribution platforms struggle.
Northbeam has built its reputation on cross-channel ad spend optimization, particularly for paid media. Hyros has invested heavily in email and funnel tracking. But for B2B SaaS teams where LinkedIn, Google Ads, and organic search all contribute meaningfully to pipeline, you need a platform that handles all three with equal reliability. Evaluate each platform's tracking methodology for your specific channel mix, not just the channels they highlight in their marketing.
Implementation Steps
1. List every channel currently contributing to your pipeline, including paid, organic, email, and direct.
2. Ask each vendor how their platform tracks user identity across those specific channels.
3. Request a technical explanation of how the platform handles cross-device and cross-session attribution.
4. Run a parallel tracking test if possible, comparing platform-reported conversions against your CRM data to assess accuracy.
Pro Tips
Pay particular attention to how each platform handles LinkedIn attribution for SaaS. LinkedIn's closed ecosystem makes accurate tracking more challenging than Google or Meta, and many attribution tools undercount LinkedIn's contribution to pipeline. This is a critical factor for B2B SaaS teams where LinkedIn is often a top-of-funnel driver.
4. Assess Server-Side Tracking and First-Party Data Capabilities
The Challenge It Solves
Browser-based tracking is becoming less reliable. iOS privacy updates, cookie deprecation, and ad blockers have created significant gaps in client-side data collection. Attribution platforms that rely primarily on browser pixels are increasingly prone to underreporting conversions and misattributing revenue, which means the data you are using to make budget decisions may be systematically incomplete.
The Strategy Explained
Server-side tracking sends conversion data directly from your server to ad platforms and attribution tools, bypassing browser-level restrictions. Conversion API integrations, such as Meta's Conversions API and Google's Enhanced Conversions, allow you to send enriched first-party data back to ad platforms to improve targeting and measurement accuracy. First-party data enrichment, where you augment event data with CRM properties like company size, industry, or deal stage, adds another layer of precision.
When evaluating Hyros and Northbeam, go beyond asking whether they support server-side tracking. Ask how they implement it, what data they send, and whether they support Conversion API integrations for the specific ad platforms you use. Platforms like Cometly are built with server-side tracking and Conversion API integration as core capabilities, which is increasingly important for B2B SaaS teams trying to maintain attribution accuracy in a privacy-first environment.
Implementation Steps
1. Audit your current tracking setup to identify how much of your conversion data relies on browser-based pixels.
2. Ask each vendor whether they support server-side event tracking and which Conversion APIs they integrate with natively.
3. Evaluate whether the platform can enrich server-side events with CRM data, such as lead score, company size, or pipeline stage.
4. Confirm the implementation complexity and whether server-side setup requires engineering resources or can be managed by a marketing team.
Pro Tips
Server-side tracking is not just a technical nicety. It is increasingly a prerequisite for accurate attribution. Any platform that does not offer a clear, well-documented server-side implementation path is likely to deliver degrading data quality over time as browser restrictions continue to tighten.
5. Map Integration Requirements to Your Tech Stack
The Challenge It Solves
An attribution platform is only as useful as the data it can access. If your platform cannot connect cleanly to your CRM, your ad platforms, and your billing system, you will spend more time manually reconciling data than acting on insights. Integration depth matters far more than integration count.
The Strategy Explained
Many attribution platforms advertise dozens or even hundreds of integrations, but the quality and depth of those integrations varies significantly. A native CRM integration that syncs pipeline stages and deal values in real time is fundamentally different from a basic webhook that passes a conversion event without context. For B2B SaaS companies, the most critical integrations are typically your CRM (such as HubSpot or Salesforce), your primary ad platforms (Google Ads, Meta, LinkedIn), and your billing or revenue system (such as Stripe).
Evaluate whether Hyros and Northbeam connect to your specific tech stack at the level of depth you need. Can they pull closed-won revenue from your CRM and match it back to the original ad touchpoint? Can they sync pipeline stage changes in real time? Cometly, for example, offers native Stripe integration that connects ad spend data directly to revenue, which is a critical capability for SaaS companies tracking subscription revenue and LTV. When evaluating any platform, ask for a technical demo of the specific integrations you rely on most.
Implementation Steps
1. List your top five most critical integrations in order of priority, starting with your CRM and primary ad platforms.
2. For each integration, define what data needs to flow in which direction and at what frequency.
3. Ask each vendor to demonstrate the specific integrations you need, not just confirm they exist.
4. Evaluate whether integrations are native or rely on third-party connectors like Zapier, which can introduce latency and data gaps.
Pro Tips
Ask each vendor what happens when an integration breaks. How quickly are data gaps detected? Is there an alerting system? A platform with robust native integrations and reliable ad tracking management is far more valuable than one with more integrations on paper but limited reliability in practice.
6. Compare Reporting Depth for B2B Pipeline and Revenue Metrics
The Challenge It Solves
ROAS and cost-per-click are useful metrics, but they do not tell B2B SaaS marketing teams what they actually need to know. When your sales cycle spans weeks or months, you need attribution reporting that connects ad spend to pipeline stages, lead quality scores, and ultimately closed-won revenue. Many attribution platforms were built to optimize ad spend for immediate conversions, not to track influence across a long, complex B2B journey.
The Strategy Explained
Reporting depth for B2B SaaS attribution means being able to answer questions like: which campaigns are generating the most pipeline, not just the most leads? Which channels are contributing to deals that actually close, versus deals that stall? What is the true cost per closed-won customer when you account for all touchpoints across the journey?
Northbeam's reporting is built around media mix and ad spend optimization, which is powerful for ecommerce but may not surface the pipeline-level metrics B2B SaaS teams need. Hyros provides detailed funnel tracking but is oriented toward high-ticket funnels rather than recurring revenue models. Platforms like Cometly are built specifically to connect ad spend to pipeline and revenue for B2B SaaS, offering reporting that maps touchpoints to CRM stages and closed-won outcomes. When evaluating any platform, ask to see a live demo of their B2B pipeline reporting, not just their standard dashboard.
Implementation Steps
1. Define the five to ten reporting questions your marketing team needs to answer on a weekly basis.
2. Ask each vendor to demonstrate how their platform answers those specific questions using their standard reporting interface.
3. Evaluate whether pipeline-stage attribution is available natively or requires custom configuration.
4. Confirm whether the platform can report on influenced revenue, not just last-touch or first-touch attributed revenue.
Pro Tips
If a vendor cannot show you a live example of pipeline and revenue attribution during a demo, that is a meaningful signal. Platforms that excel at B2B SaaS revenue attribution make it a centerpiece of their demo, not a footnote. Do not accept screenshots or mock data in place of a live walkthrough.
7. Factor in Pricing Transparency and Total Cost of Ownership
The Challenge It Solves
Attribution platforms that price based on ad spend can become surprisingly expensive as your campaigns scale. A platform that looks affordable at $50,000 in monthly ad spend may represent a significant budget line at $500,000. Understanding the true cost of ownership, including implementation time, ongoing maintenance, and the cost of data gaps, is essential before committing to any platform.
The Strategy Explained
Both Hyros and Northbeam use pricing models that are not always fully transparent on their public websites, which means you often need to go through a sales conversation to understand what you will actually pay. Beyond the subscription cost, consider the implementation investment. Server-side tracking setups, CRM integrations, and custom reporting configurations can require meaningful engineering time. Factor in the cost of that work when comparing platforms.
Also consider the cost of inaccuracy. A platform that is cheaper but systematically underattributes revenue from your top-performing channels will lead to poor budget decisions that cost far more than the subscription fee. Evaluate pricing in the context of the data quality and completeness each platform delivers for your specific use case. A purpose-built attribution platform that accurately connects ad spend to closed-won revenue may deliver significantly higher ROI than a cheaper tool that leaves critical gaps in your data.
Implementation Steps
1. Request detailed pricing from each vendor based on your current and projected ad spend levels.
2. Estimate the engineering and marketing operations time required to implement and maintain each platform.
3. Identify any data gaps the platform cannot address and quantify the potential cost of those gaps in misallocated budget.
4. Calculate a total cost of ownership for a twelve-month period, including subscription, implementation, and ongoing maintenance.
Pro Tips
Ask each vendor about pricing at two to three times your current ad spend. If the answer is vague or the price jump is steep, factor that into your long-term planning. The last thing you want is to rebuild your attribution stack six months after scaling your campaigns because the cost has become unsustainable.
Putting It All Together
Choosing between Hyros and Northbeam is not simply a matter of picking the platform with more features. It is about finding the attribution solution that matches your business model, your data infrastructure, and the specific questions your marketing team needs to answer.
Hyros tends to serve high-ticket funnels and info product businesses well. Northbeam has strong roots in ecommerce and DTC attribution. But if you are a B2B SaaS company trying to connect ad spend to pipeline and closed-won revenue across a complex, multi-touch customer journey, both platforms may leave meaningful gaps.
Use the seven strategies outlined here as your evaluation framework. Start by confirming model fit, then work through attribution model support, cross-channel accuracy, server-side tracking, integration depth, reporting capabilities, and total cost of ownership. Each strategy surfaces a different dimension of platform fit, and together they give you a complete picture of which tool is right for your team.
Cometly was built specifically for this use case. It captures every touchpoint from first ad click to closed-won deal, integrates natively with your CRM and ad platforms, uses AI to surface which campaigns are actually driving revenue, and sends enriched conversion data back to Meta, Google, and other ad platforms to improve targeting and optimization. It is a single source of truth for B2B SaaS marketing teams who need attribution data they can actually act on.
Before committing to any platform, run it against these seven strategies and make sure it can answer your most important attribution questions with accuracy and confidence. Ready to see how Cometly measures up? Get your free demo today and start capturing every touchpoint to maximize your conversions.
