MTRevOps LLC blog

Case Study: Building a Scalable Attribution System

MTRevOps — Wed, 15 Apr 2026 19:56:47 GMT

Overview

Recently, we worked with a growing B2B SaaS company that needed better visibility into what was driving their pipeline and revenue. The issue? Their attribution relied on HubSpot’s native tracking, which lacked visibility into offline sources, event performance, and key conversion points across the funnel.

MTRevOps designed and implemented a multi-layer attribution system across contacts, leads, and deals, all within HubSpot! This allowed the team to accurately track where leads were coming from, what actions were driving conversions, and how those interactions translated into revenue. The best part? This scalable framework now enables the team to connect actions to outcomes, preserve critical data at each stage, and see what is actually driving revenue and deal creation. Take a look.

The Challenge

Like many growing companies, this team had a familiar problem. They were generating leads but really had no real visibility into why or how those leads were coming in.

At a high level, three major gaps were holding them back:

1. Unreliable Attribution Data

They were relying on HubSpot’s native attribution, which fell short especially for offline sources. Events, imports, and other non-digital touchpoints were largely bucketed into vague “offline” categories. Offline sources tend to be a common problem among HubSpot users. For this team it left them without a clear understanding of what was actually driving pipeline.

2. No Visibility Into Event Performance

Events were a major investment for their business and a key lead source but there was no clean way to track:

Which events generated leads
Which leads actually converted
Which events influenced revenue

Their workaround? A single custom property for event tracking which resulted in messy, incomplete data that couldn’t support real decision-making.

3. No Attribution Across the Funnel

Even when leads converted, there was no visibility into:

Why a contact became an MQL
What triggered a lead to be created
What drove deal creation

This resulted in no way to connect actions to conversions and revenue.

3. Net-New Referral Validation

Not all referrals qualify for incentives. To ensure accuracy, the workflow automatically checked whether the referred contact already existed inside of HubSpot.

If the contact was new:

The referral was accepted
The reward amount increased

If the contact already existed:

The referral was flagged as such
The submitter was notified that the contact existed already with a personalized email

This prevented duplicates while maintaining transparency.

The Starting Point

So we implemented a multi-layer attribution system designed to track the full buyer journey without sacrificing data or flexibility, or adding in additional software.

1. Attribution Across the Entire Funnel

Instead of relying on a single attribution point, we built a system across:

Contacts (creation + conversion)
Leads (creation + re-engagement)
Deals (creation + revenue attribution)

This created a connected attribution model from first touch to closed won.

2. Contact-Level Attribution (The Foundation)

We established two key layers:

Original Source Attribution
→ How the contact was first created
Conversion Attribution (MQL Trigger)
→ What action caused the contact to convert

This was fully customized to their business (not generic), capturing:

Event attendance
Form fills
Imports
Other high-intent actions

We also layered in traffic data, ensuring nothing was lost.

3. Lead-Level Attribution (Multi-Touch Visibility)

For companies using the lead object, this is where a lot of attribution breaks.

We solved that by tracking:

Why each lead was created
What triggered their re-entry into the funnel

We ensured that nothing was overwritten. If a contact re-engaged later, both touchpoints were preserved.

4. Deal-Level Attribution (Revenue Clarity)

At the deal stage, we captured:

What triggered deal creation
The associated source plus traffic at that moment

This tied revenue directly back to the actions and sources that influenced it.

5. Built for Real-World Flexibility

We know that not every funnel is linear so we accounted for that.

Whether a contact:

Skipped the lead stage
Entered as a high-intent opportunity
Re-engaged multiple times

The system still worked. No breaks. No data loss.

6. Reporting & Strategy Layer

Once the data foundation was in place, we enabled reporting that answered:

Which events actually drive pipeline?
What converts contacts into MQLs?
What actions lead to revenue?

This turned attribution from data collection into decision-making.

The Outcome

With full-funnel attribution in place, the team could finally:

Identify High-Performing Events

Not all events were equal. They uncovered which events:

Generated qualified leads
Converted into pipeline
Actually influenced revenue

This resulted in the opportunity for reallocated budget toward high-impact events.

Understand Conversion Triggers

They could now clearly see:

What actions drive MQL conversion
Which channels influence deal creation

Optimizing marketing and sales efforts around what actually works was now a reality.

Eliminate Guesswork

No more frustrating team meetings where the phrase “we think this is working.” would come up.

Now they had:

Clear source visibility
Multi-touch attribution
Full funnel insight

Their team could now make smarter decisions that were backed by real data.

Key Takeaway

Attribution isn’t about giving credit to marketing or sales, it’s about answering one critical question:

“What is actually driving revenue and where should we invest more?”

By building a structured, flexible attribution system across contacts, leads, and deals, this team turned a major blind spot into a strategic advantage.

Looking Ahead

With the foundation in place, the system is designed to evolve:

Layer in more advanced reporting
Refine conversion definitions
Expand attribution across customer lifecycle stages

Because the goal isn’t just better data it’s better decisions at every stage of growth.

If this is something your company also struggles with, we’re happy to discuss implementing it for you and your goals!

Case Study

MTRevOps — Wed, 18 Mar 2026 19:33:56 GMT

Overview

Recently, a growing organization that houses multiple brands, wanted to launch a referral incentive program to generate new business. The issue? Their referral process relied entirely on manual effort from sales, making it inefficient, difficult to track, and impossible to scale.

MTRevOps helped design and implement a fully automated referral process in HubSpot that streamlined referral submissions, validated net-new contacts vs. already existing contacts, tracked rewards, and created a scalable process that could be used across multiple brands. Take a look.

The Challenge

The company wanted to encourage customers and partners to refer new business by offering a cash referral incentive.

Their process was entirely manual:

Referrals were requested individually via emails from the sales reps
Sales reps were manually creating new contacts
Referral relationships were not tracked efficiently
The process was not scalable across multiple brands

As the organization continued to grow, this approach became increasingly unsustainable.

They needed a solution that would:

Automate referral collection
Track referral relationships
Validate whether a referral was truly new
Calculate incentive amounts accurately
Scale easily

The Solution

Using HubSpot, MTRevOps built a referral automation system that transformed the manual process into a structured and scalable workflow.

1. Smart Referral Form

We created a dynamic HubSpot form that allowed users to submit up to five referrals at once.

Using conditional logic, the form:

Displayed additional fields only when needed
Reduced friction for users submitting referrals
Captured all referral information in a structured way

2. Automated Contact Creation

Once the form was submitted, a HubSpot workflow evaluated the submission and:

Determined how many referrals were submitted
Automatically created new contact records for each referral
Associated the referral with the original submitter

This ensured every referral relationship was clearly documented.

3. Net-New Referral Validation

Not all referrals qualify for incentives. To ensure accuracy, the workflow automatically checked whether the referred contact already existed inside of HubSpot.

If the contact was new:

The referral was accepted
The reward amount increased

If the contact already existed:

The referral was flagged as such
The submitter was notified that the contact existed already with a personalized email

This prevented duplicates while maintaining transparency.

4. Automated Referral Reward Tracking

Each valid referral automatically increased the referrer’s reward balance by the referral amount.

The system calculated reward totals based on valid referrals, ensuring accurate tracking of the incentive payouts.

5. Scalable Workflow Design

This automation was built to support a multi-brand environment, allowing the organization to:

Replicate the workflow across brands
Maintain consistent referral tracking
Scale the program as new brands were added

The Results

By replacing manual processes with automation, this organization gained:

A fully automated referral submission process
Accurate tracking of referral relationships
Automatic validation of new referrals
Referral reward calculations
A scalable framework

Most importantly, the sales team gained back invaluable time by no longer needing to manually manage referrals, all while the referral program became more effectively structured and largely autonomous.

Why This Matters

Launching referral programs is a to-do on many organizations’ lists, the problem is they generally struggle with:

Manual tracking
Duplicate contacts
Inaccurate reward calculations
Systems that don't integrate with their CRM

With the right automation, your existing tech stack can support a scalable referral program without adding complex new systems.

Could This Work for Your Organization?

If your team is still managing referrals manually, or not at all, you may be missing out on a scalable growth channel.

MTRevOps can help companies design automated referral systems that streamline the entire process; from submission to reward tracking.

Does this sound like something that your team could benefit from? Our team can effectively implement a Referral Program like this for you!