The Open Secret in B2B Marketing: Nobody Knows What’s Working or Why 

In Brief: 

Most B2B companies selling through channel partners have no idea which marketing investments drive revenue. This B2B attribution crisis results in budgets based on habit instead of proof, lost partner business, and marketing leaders who can’t defend their spend. The data needed to solve the problem exists, but it’s scattered across disparate systems. Closing the gap requires unifying through-channel marketing, incentive management, intent data, and sales attribution in one environment where the connections between activity and revenue become visible by default.

Think about the last group project you were in. Somebody probably did most of the work while someone else coasted and someone else kept the whole thing from falling apart. When the final evaluation came back, nobody could say for sure who actually deserved what. 

Now picture that group project has a $21 trillion valuation representing 83% of all worldwide e-commerce. That’s how important distribution channels are to the global economy.  

Manufacturers and vendors sell through distributors or resellers, who usually sell to end customers (or, in trades industries, contractors who sell to end customers). By the time a product reaches the person who uses it, three or four companies have had their hands on the deal. 

So when a sale finally closes, who and what gets the credit? The manufacturer who funded the marketing campaign to create product awareness? The distributor who executed the campaign and added the product to their inventory? The contractor or retailer who walked the customer through the purchase? And which specific actions or assets most influenced the purchase? 

Figuring Out Attribution 

“Attribution” is just a fancier word for credit. When a marketing team figures out which ad, email, event, or incentive made someone buy something, that’s sales or revenue attribution. It’s how companies decide which marketing and sales initiatives to fund. 

In a direct-to-consumer business, attribution may be hard but at least it’s achievable and straight-forward. One company runs the whole buying journey. They send marketing, track engagement, and record the sale. 

In business-to-business (B2B) or channel marketing, it’s a mess. The vendor funds a campaign. The partner executes it (if they have time). The sale is recorded in a system the vendor can’t see. Every touchpoint in between—marketing content, product training, incentive promotions, etc.— disappears into a black box.  

When the CFO walks into the quarterly review and asks, “What did we get for last year’s partner marketing spend?”, most channel marketers don’t have an honest answer. 

That’s the B2B attribution crisis. It’s not new. What’s new is that nobody can afford to keep pretending it’s fine. Boards and private equity firms want proof of profitability. AI-related layoffs are accelerating. Concerns about supply chain volatility have doubled year over year.  

Companies that figure out how to measure partner-driven revenue instead of just counting clicks will be able to explain where their wins are coming from and double down on them, multiplying their advantage every quarter. Figuring it out starts with understanding  what’s broken and why. 

Why Most Attribution Models Don’t Work 

Most B2B marketing teams rely on one of three attribution frameworks:  

• First-touch credits the interaction that generated initial awareness.  
• Last-touch credits whatever happened right before the deal closed.  
• Multi-touch tries to distribute credit across every touchpoint in between. 

They all have one thing in common: they were built for direct marketing, where there’s one brand and one buyer. The brand sends the email, owns the landing page, tracks the click, records the sale.  

B2B marketing doesn’t work like that, much to B2B marketers’ dismay. 

Where the Revenue Story Goes Dark 

When a supplier or vendor sells through partners, the vendor funds marketing campaigns and the partners execute them. If a campaign works, the partner records the sale in a CRM the vendor can’t see. The engagement data, lead data, and revenue data all live in different systems, owned by different organizations, with different motivations (or no motivation at all) to share them. 

The only attribution signal that reaches the supplier is a revenue line item, after the fact. Every preceding touchpoint—whether it was a co-branded campaign, product training, or an incentive promotion—is invisible. That’s where attribution gets cut short like a one-season Netflix show. 

Why Buying More Tools Hasn’t Helped 

When something in your kitchen isn’t working, you don’t fix it by buying three more blenders. But that’s essentially how the channel software industry has responded to the attribution problem: layer on more point solutions, each one capturing a slightly different slice of the picture, none of them telling the whole story. 

Five Problems Causing the Crisis 

The B2B attribution crisis isn’t one problem. It’s five interconnected ones, each hitting manufacturers, suppliers, and distributors from a different direction. 

1. Models That Only Count the Finish Line 

The most common form of B2B attribution is transaction-based: a partner closes a deal and gets credit. It persists because it’s simple. But it’s like watching a relay race and only remembering the runner who crossed the finish line. 

Partners influence revenue in ways the transaction doesn’t tell you about: 

• A distributor co-funds an event that puts a product in front of 200 contractors six months before they buy. 
• A reseller validates a product with a customer’s IT department, tipping a competitive evaluation. 
• A dealer’s post-sale support drives adoption, leading to an expansion deal later. 

None of those contributions show up in a transaction-attribution model, but they all impact revenue. 

2. Partners Gatekeeping Their Data

Most distributors, dealers, and resellers have no intention of handing over the customer relationships, email lists, CRM records, and purchase histories that would connect marketing activity to revenue. 

From the partner’s perspective, sharing that data feels like opening a path for the manufacturer to go around them. A distributor who shares sell-through data may fear it will be used to renegotiate margins or restructure territories. An independent agent representing eight carriers isn’t about to tell Carrier A which of Carrier A’s campaigns drove a recommendation to Carrier B’s product. 

It’s rational self-preservation.  

Plus, partners have a real obligation to protect their customers’ privacy. Until the channel creates a model where sharing data benefits the partner as much as it benefits the vendor, the most important attribution signals in the channel will keep living behind walls no CRM integration or API connection can break through. 

3. Incentive Spending on Autopilot 

The broader non-cash incentive market reached $176 billion in 2022, up 49% from 2016. Eighty-four percent of U.S. businesses over $5 million in revenue run at least one non-cash incentive program. That’s an enormous investment that, for most companies, has no clear line they can follow to revenue. 

Properly designed incentive programs have been shown to increase sales by 30% and produce 300%+ return on investment (ROI). The problem is that most organizations  can’t connect incentive initiatives to revenue outcomes. They can’t answer basic questions like: 

• Which incentive promotions drive real behavior change, versus rewarding behaviors that would have happened anyway? 
• Which partner segments respond to incentives and which perform the same without it? 
• Are rewards, discounts, rebates, marketing, and recognition efforts reinforcing each other, or running in parallel with no connection? 

For suppliers running multi-tier incentive programs across distributors, resellers, and end-customer rebates, the blind spots multiply. Each tier is a separate investment that may or may not be producing measurable results, and nobody can say for sure which. 

4. The Vendor-Partner Data Divide 

Even when the right data is being tracked, it’s usually trapped in silos that don’t talk to each other. Campaign engagement lives in one system. Incentive data in another. Sales in a third, partner profiles in a fourth. It’s a jigsaw puzzle with the pieces scattered across different rooms of the house. 

This fragmentation is accelerating. Omdia catalogued 261 companies in the channel software ecosystem in 2025, up 64% from the 159 Forrester identified in 2020. 

Most channel organizations are sitting on four or five datasets that would be powerful together and are nearly useless apart. A manufacturer might know which partners are redeeming incentives, which are sending campaigns, and which are growing revenue. But they can’t say with certainty (or without a week of manual data pulling) whether those are the same partners. The relationships between marketing activity, incentive behavior, and revenue outcomes remain a mystery. 

5. The Widening Measurement Gap 

Organizations could at least plan around the attribution crisis if was consistent, but it isn’t. It keeps getting worse. 

Privacy regulations and the deprecation of third-party cookies are straining attribution models that were already fragile. New partner types — influencers, referral agents, non-transacting advocates, affiliates — are joining sales cycles, adding even more complexity. 

The tools most B2B marketers rely on aren’t helping. A 2025 6sense study found that only 25% of B2B marketers consider their organization’s measurement of marketing performance “fair,” and spreadsheets remain a primary measurement tool. 

What the B2B Attribution Crisis Costs

Those five problems translate into three very real categories of loss that manufacturers and suppliers absorb every single quarter. 

Spending on Habit Instead of Evidence 

When you can’t see what’s working, you fund what isn’t. Partner investment defaults to muscle memory: the same top-tier partners get the same allocations, based on the same volume rankings, year after year. Meanwhile the high-potential mid-tier partners get ignored. 

Extu’s platform data shows documented sales ROI ratios from 5:1 to 69:1 across enterprise partner programs where incentive spend, promotion management, and downstream sales are visible in the same operating environment. The manufacturers hitting those numbers are re-investing into initiatives that prove ROI. 

Lost Partners 

Your channel isn’t an airport; partners don’t announce their departures. Instead, you think everything’s fine until you realize their purchases have dropped 50%.  

The signals that a partner is drifting away from you exist: declining campaign execution, incentive participation, and portal activity. But in most organizations, those signals live in disconnected systems. No one notices the warning signs, the intervention window closes, and what could have been a recoverable dip becomes a lost partner. 

Losing the Boardroom’s Trust 

The most expensive cost of the attribution crisis shows up the moment the CFO asks what last year’s marketing development fund (MDF) spend produced. Marketing leaders can usually point to positive engagement metrics, but the honest answer is they don’t know.  

Channel leaders operating without attribution lose credibility with the people controlling the budget. Every quarter spent unable to connect program spend to revenue outcomes makes it harder to defend next year’s investment and headcount, and harder to show that marketing deserves strategic priority. 

Good News: The Data Exists 

The B2B attribution crisis would be easier to accept if the underlying data didn’t exist, but it does. Data that predicts partner revenue is generated every day. It’s just not being captured, connected, or acted on the right way. 

The Signals That Precede Revenue 

Partner behavior leaves a trail of footprints that lead directly to a closed transaction, if you know where to look: 

• Training completions 
• Campaign execution 
• Incentive participation 
• Audience reach 
• Content engagement 
• Deal registrations 
• Co-op fund utilization 

These are all measurable events. When analyzed against revenue outcomes over time, they become predictive. The partners who will grow next quarter are already behaving like it. The partners drifting toward a competitor are already showing the early signs. The data is just scattered. 

Channel Data vs. Channel Intelligence 

Most channel organizations already have campaign metrics, incentive redemption logs, partner tier classifications, and transaction records. What they don’t have is a connected model that makes any of it actionable. 

Channel data tells you what happened. Channel intelligence tells you what it means and what to do about it. A campaign report showing click-through rate is data. Channel intelligence is knowing that the partners who generated those clicks also submitted 40% more sales claims than the partners who didn’t execute campaigns. 

What Channel Intelligence Requires 

Closing the attribution gap requires four data streams that almost never live in the same environment today: 

• Through-channel marketing data: Which partners are executing campaigns, reaching what audiences, and generating what engagement 
• Incentive management data: Who’s participating, what they’re claiming, and whether the incentive is influencing behavior 
• Partner engagement data: Who’s active, who’s drifting, and what the trend lines look like over time 
• Downstream revenue data: What actually sold, through which partners, and whether it correlates with any of the above 

When these streams run in parallel, each tells a partial story. Campaign metrics show reach without revenue. Incentive data shows spend without outcomes. Pulled into the same environment, they answer the questions that matter: which partners are creating momentum, which incentive structures are producing behavior change, which investments are generating pipeline, and which mid-tier partners are on a trajectory worth accelerating. 

How the Partner Experience Platform Closes the Loop 

The path to channel intelligence starts with measuring what’s currently invisible. That means bringing through-channel marketing execution, incentive management, and partner engagement tracking into a single data environment. 

This is why Extu built the Partner Experience Platform: a unified environment where the campaigns partners send, the sales claims they submit to earn incentives, and the sales activity they report can all be captured in the same system. The connections between marketing activity and revenue outcomes become visible without manual reconciliation. The data architecture was designed to produce those connections by default. 

Through-Channel Marketing Execution 

Sponsors of the Partner Experience Platform send campaigns and content that partners review, approve, and send to their own subscriber lists. Every send, open, click, and content engagement is captured and tied to the specific partner who executed it. 

The platform’s content team monitors performance across partner cohorts, testing subject lines and themes to continuously optimize what partners are sending. Across top programs, this architecture produces 90%+ partner campaign activation rates and a 30% email click-through rate compared to the 1-3% industry average. 

Channel Incentive Management 

Partners earn rewards for completing the specific behaviors that generate attribution data: sending campaigns, registering warranties, refreshing subscriber lists, reporting closed sales. When a partner submits a sales claim or product registration, that pre-revenue indicator is tied directly to the partner who generated it. 

Sales Attribution 

Partners report closed sales directly within the Partner Experience Platform. Those receipts are attributed to incentive promotions and/or to campaign activity through purchaser domain matching and subscriber alignment, connecting the marketing touchpoint to the revenue outcome at the program level. 

Predictive Analytics 

The platform aggregates engagement and sales data across the partner base to identify performance patterns, using AI-driven modeling to surface which partners are likely to accelerate, sustain, or plateau. It flags revenue spikes and engagement shifts in real time, giving sponsors forward-looking intelligence and partners visibility into their own campaign performance to support smarter local marketing decisions. 

Account Profiling and Intent Data 

The Partner Experience Platform layers purchase intent signals on top of internal engagement and sales data, producing a prioritized list of each partner’s prospects scored by likelihood to buy. This blend of intent and behavioral data creates next-best-action recommendations. 

Multi-Tier Program Management 

For companies that manage multiple partner tiers, the Partner Experience Platform supports simultaneous programs across diverse audiences with segmented content controls, customized incentive rule sets, and reporting filters. Each channel segment belongs to the right program without fragmenting the sponsor’s view of overall channel performance. 

From Measurement to Prediction 

What makes the Partner Experience Platform’s analytics layer unique is that it captures and blends three categories of data that almost never coexist in the same system: 

• First-party data is information collected directly from your audience. Campaigns are sent within the platform and all content engagement, lead captures from landing pages, incentive redemption activity, and engagement tier changes are captured automatically. 
• Second-party data is data received directly from other businesses. Partners upload their subscriber lists and submit sales claims and product registrations through the platform. Platform sponsors can access partner-side sales activity, customer lists, and closed-deal reporting because partners have motivation and a mechanism to share them. 
• Third-party data is externally purchased data, such as intent signals. On their own, intent signals are just hints. Blended with first-party engagement and second-party sales data inside the same platform, they create a scored, prioritized prospect list with a recommended next action. 

Each layer covers a different piece of revenue attribution. Together, they give the Partner Experience Platform the ability to identify which engagement behaviors precede revenue growth, which partners are trending toward acceleration or decline, and where to invest next. 

To Wrap Up: The B2B Attribution Crisis Is a Choice 

Even though the channel is the backbone of global commerce, the tools and attribution models that companies use to measure it haven’t kept up. The B2B attribution crisis is what happens when an industry’s revenue model outgrows its measurement infrastructure. 

Companies that don’t close the attribution gap will keep funding the same partners out of habit while the potential of other partnerships goes unnoticed. They’ll lose partners to competitors and deal with increasingly hostile budget conversations with leadership, walking in with nothing but engagement metrics that don’t matter. 

Organizations that can answer “how much revenue did channel marketing generate?” use connected data to identify which partners to accelerate, which programs to scale, and which investments to cut. Every quarter of accurate attribution generates data that makes the next quarter’s predictions clearer and the next year’s budget allocation smarter. 

Extu built the Partner Experience Platform to close this gap, giving companies a single environment where marketing activity, incentive behavior, and sales outcomes are connected from the moment they’re generated. 

The organizations that start building this foundation now will be channel leaders. The ones that don’t will be channel spenders.