Your Guide to Partnership KPIs: 33 Metrics For Your Ecosystem Success (2026)

Let me guess: you brought two companies together, signed the partner agreement hoping for explosive growth, and then — radio silence. No leads, no sales, and the initial excitement starts to dwindle.

Scaling partnerships is genuinely hard. Onboarding takes time, and keeping partners engaged is an ongoing effort, not a one-time launch task. KPIs are what turn that effort from a guessing game into a system — the right data points tell you exactly where to invest, which partners need a nudge, and which parts of your program are quietly leaking revenue. Track them well, and you can steer your partnerships toward exponential growth and keep your partner program engaging enough that partners actually want to show up.

Why Partner Performance Measurement Matters More Than Ever

Effective partner performance measurement goes beyond tracking activity for its own sake. It's what lets you optimize your channel program for maximum ROI instead of optimizing by gut feeling.

The stakes for getting this right have grown, not shrunk, since this guide first published. Three data points make the case:

• Partner-sourced and partner-influenced pipeline is now a material share of B2B SaaS revenue, not a side channel. Mid-market and enterprise companies attribute an average of 35% of new pipeline to partners (PartnerStack, State of Partnerships in GTM 2026), and 67% of ecosystem leaders expect that share to grow more than 30% year-over-year (Forrester, State of B2B Partner Ecosystems, 2025).
• Investment is accelerating faster than execution maturity. 75% of partner ecosystem decision-makers plan to increase technology spend this year, yet nearly 70% of partners still operate at low-to-medium marketing and sales maturity (Forrester, Partner Ecosystem Marketing Survey, 2026). Without KPIs, you can't tell which partners are in that struggling 70% until it's too late to help them.
• The tools for tracking this have caught up. A modern partner platform can pull financial data from your CRM and engagement data from your partner portal into one real-time dashboard — the kind of 360-degree view that used to take a dedicated ops person and a stack of spreadsheets to approximate.

The absence of this data doesn't just make reporting harder — it removes your ability to identify improvement opportunities for individual partners. Too many partnership teams still struggle to set up KPIs simply because they lack the tools to measure the impact of their own activities. Measurable KPIs let your organization track the performance of partnership efforts and, as a result, make the internal case for more budget — new hires, software, and the tools needed to streamline operations. Specifically, KPIs give you visibility into:

• Identifying top performers — using data to pinpoint partners who consistently excel at revenue generation, deal closure efficiency, and program goal achievement.
• Pinpointing areas for improvement — gaps in partner enablement, marketing support, or program structure that are quietly capping growth.
• Incentivizing partners — data-driven insight into which partners need re-energizing and which deserve to be rewarded.
• Predicting future performance — using historical data to forecast trends and optimize resource allocation within your channel program.

All 33 KPIs at a Glance

Use these three tables to scan the full list before diving into definitions and tracking methods below. Each KPI links down to its full entry.

Revenue & Pipeline

What's in motion, what landed, and whether it was worth it.

Partner Activity & Engagement

Whether partners are enabled, using what you've built, and staying engaged.

Sales, Customer Success & Partnership Health

Whether partner-sourced customers stay happy, and whether the relationship itself is healthy.

Revenue and Pipeline Creation

This is the category leadership asks about first — because it's the most direct line between "we have a partner program" and "the partner program made us money." Before you look at any single number, know that these seven metrics work as a set: pipeline metrics (1–3) tell you what's in motion, revenue metrics (4–5) tell you what actually landed, and efficiency metrics (6–7) tell you whether it was worth it.

1. Active pipeline per partner

This metric doesn't just show how busy your partners are — it reveals the volume of potential deals in motion. By tracking active deals each partner is nurturing, you can spot opportunities to help just in time to close: maybe Partner A needs a nudge with a complex proposal, or Partner B could benefit from an introduction to a high-value prospect. It's a great operational read on your partner's pipeline health.

• RevOps tip: Count open opportunities tagged to each partner in your CRM (a partner-source or co-sell field), segmented by stage, and review weekly. More active pipeline per partner means a higher probability of closed revenue without added CAC — use it to forecast quarter-end bookings and flag partners who need sales support before a deal stalls.

2. Sales opportunities created by each partner

As leads move along your pipeline, tracking which ones convert into an opportunity stage is a valuable read on partner performance and the value each partner brings (this is also how you measure time and budget spent against what you're gaining). It also flags which partners excel at lead qualification versus which need targeted support with conversion.

• RevOps tip: Calculate (opportunities created by partner ÷ leads submitted by partner) × 100 directly from your CRM's partner-source field. Multiply the result by average deal size to quantify partner-attributable pipeline value added to your forecast — it turns partner activity into a number leadership can compare against paid or outbound channels.

3. Pipeline value

Encompassing deal registrations, applications, or quote requests, pipeline value is a crystal ball for the revenue tied to your partnership efforts. Knowing the total value of active deals lets you forecast growth, allocate resources efficiently, and mark milestones along the way.

• RevOps tip: Sum open opportunity amounts tagged to partner source/influence, weighted by stage probability, for a realistic forecast rather than a raw total. Weighted pipeline value is the leading indicator for next-quarter partner-sourced revenue — use it to set quota expectations and size MDF budget allocation ahead of time, not after the quarter closes.

4. Partner-sourced revenue

A fundamental metric tracking direct revenue generated through your partners' sales efforts. Monitor total revenue and track it against your partnership goals relative to time and budget spent.

• RevOps tip: Pull the sum of closed-won deal value where Opportunity Source = Partner straight from your CRM/PRM integration — don't rely on partner self-reporting. Divide by total program cost to get a revenue-to-cost ratio, the single number that most directly answers "what did we get back for what we spent on this program."

5. Partner-influenced revenue

Beyond direct sales, partners shape customer journeys at multiple touchpoints. Track revenue from leads nurtured or deals influenced by partner interactions — even when a partner isn't the final closer. This is exactly the metric that a marketing-automation-only stack tends to miss, because it requires attributing touches a partner ran independently, not just the ones you instrumented yourself.

• RevOps tip: Apply a multi-touch attribution model (W-shaped or U-shaped works well here) across CRM touchpoints tagged as partner activity — a content share, an intro, a co-marketing touch. Skipping this under-credits partners and makes it harder to justify enablement spend, since a "sourced-only" view will always understate the channel's real contribution to revenue.

6. Customer Acquisition Cost (CAC) by Partner

Analyze how much it costs to acquire a customer through each partner channel. This flags cost-effective partnerships and areas needing improvement.

• RevOps tip: Divide fully-loaded partner cost (enablement + MDF + commissions + ops time) by the number of customers that partner acquired over the period. Compare the result against direct-sales CAC and against other partners, then reallocate MDF and enablement hours toward the lowest-CAC partners — and requalify or sunset any partner whose CAC exceeds your CAC:LTV threshold.

"The CAC is one of the most important metrics to keep track of in general from a partnership perspective. You need to know what activities lead to the best results and what partners lead to the best result. So knowing every partner's CAC will help you prioritize correctly and help improve mandate with the rest of the organization."

— Fredrik Mellander, previously Head of Partnerships at TeamTailor

7. Customer Lifetime Value (CLTV) by partner segment

Understanding the lifetime value of customers acquired through different partner segments helps you assess long-term partnership value — not just the size of the first deal, but whether that partner brings you customers who stick around and expand.

• RevOps tip: Model CLTV as average revenue per partner-acquired customer × average customer lifespan (or run a retention-cohort analysis), segmented by partner tier in your BI/CRM reporting. Pair it with CAC (#6) to get a CLTV:CAC ratio by segment — a healthy channel should clear at least 3:1, and that ratio is what should decide which partner segments get long-term investment versus which are only worth short-term, low-cost deals.

Partner Activity

Partner enablement metrics confirm whether your partners actually have the knowledge, skills, and resources to sell your product effectively — activity is the leading indicator that shows up weeks before revenue metrics move at all.

8. Partner portal activity

Track login frequency to gauge how much partners are actually using the resources you've built for them — our own breakdown of how to make your partner portal engaging covers the levers that move this number. Low portal activity almost always precedes a drop in pipeline metrics — it's one of the earliest warning signs available, and one your partner portal analytics should surface automatically rather than requiring a manual pull.

• RevOps tip: Pull logins, session duration, and resource views per partner per month directly from portal analytics — no manual survey needed. Because portal activity leads pipeline decline by roughly 4–8 weeks, it lets you trigger a proactive save-play before a renewal or QBR conversation, which is far cheaper than a reactive churn recovery.

9. Training & certification completion rate

Measure partner knowledge acquisition through training modules and certifications to identify upskilling opportunities. High completion rates indicate successful enablement and a partner force that's actually equipped to promote your offering — low rates are usually the root cause behind weak conversion numbers further down the funnel, so this is worth checking before you assume a partner just isn't a good fit.

• RevOps tip: Calculate (partners who completed certification ÷ total enrolled) × 100 per cohort/tier in your LMS or PRM. Quantify the conversion-rate and average-deal-size delta between certified and non-certified partners — that delta is the ROI case for your enablement budget, expressed in the same currency finance already tracks.

10. Marketing & content asset engagement

Monitor downloads, views, and usage of sales and marketing assets — including newsletter open rates — to assess how effective they are at generating leads and supporting deal conversion. This tells you which content is actually earning its keep versus which lives in the portal unused.

• RevOps tip: Track downloads, views, and shares per asset per partner via portal analytics or UTM-tagged links fed into your marketing/CRM stack. This ties content-production cost directly to usage — retire or redesign assets with near-zero engagement, and increase production budget for whichever assets show up most often in closed-won deal notes.

11. Communication effectiveness

Track open rates, click-through rates, and overall engagement with partner communications to optimize content and delivery methods. If partner comms perform worse than customer comms, that's a signal your messaging isn't tailored to how partners actually consume information.

• RevOps tip: Benchmark open rate, CTR, and reply rate on partner campaigns in your email platform against customer-facing campaign rates. Low comms effectiveness is a hidden cost center — it means the budget already spent producing program announcements and enablement content isn't reaching the partners it was built for, so fix delivery before producing more content.

12. Partner satisfaction score

Regularly monitor partner satisfaction through surveys and feedback mechanisms. A happy, engaged partner is far more likely to invest effort in promoting your product — treat this as a leading indicator, not a nice-to-have.

• RevOps tip: Run a quarterly NPS/CSAT survey (0–10 or 1–5 scale) and trend it by tier/segment. Satisfaction correlates with renewal rate (#31) and deal-registration volume — a drop here gives you a window to intervene weeks or months before those harder revenue metrics actually move.

13. AI-assisted partner health score

A composite, predictive score that blends portal activity, training completion, deal velocity, and communication engagement into a single leading indicator — flagging at-risk partners automatically instead of waiting for a quarterly business review to notice they've gone quiet. This is the newest metric on this list, and it's quickly becoming standard: see How AI Is Changing Partner Performance Measurement below for how it works in practice.

• RevOps tip: Let your PRM/AI layer calculate the composite score continuously rather than compiling it by hand before each QBR. The ROI here is operating leverage: automating the at-risk-partner detection that used to take an ops analyst hours to compile lets a lean team manage a larger partner base without adding headcount — a direct, calculable cost saving you can put in front of finance.

Partner Engagement

Effective partner management, like any successful collaboration, hinges on active engagement. Monitoring partner activity data gives you insight into commitment level and flags exactly where additional support is needed.

14. Conversion rates

Analyze how effectively partners convert leads into sales opportunities and, ultimately, closed deals. High conversion rates indicate partners are adept at nurturing leads and closing deals — low ones point to an enablement gap worth investigating with the metrics in Section 2 above.

• RevOps tip: Calculate (closed-won deals ÷ total opportunities created) × 100 by partner, straight from CRM funnel reports. A partner with high volume but low conversion is costing you sales-cycle time for little return — use conversion rate, not raw volume, to decide where coaching hours actually pay off.

15. Ecosystem-qualified pipeline

The volume and value of deals sourced through account-overlap or co-selling motions with technology partners — where two companies compare CRM data (securely and with permission) to find shared prospects worth pursuing together. This has become its own discipline, often called ecosystem-led growth, and it's a distinct pipeline source from traditional reseller-driven deals: a reseller sells for you, while an ecosystem partner helps you find who to sell to. Track it separately so you don't mistake one motion's performance for the other's.

• RevOps tip: Tag deals sourced through account-mapping/co-sell tools (e.g., Crossbeam, Reveal) with a distinct source value in CRM, separate from reseller-sourced deals. Isolating this prevents double-counting in ROI reports and reveals whether your tech-alliance investment is paying off on its own merits, independent of reseller spend.

16. Deal registrations

Track the number of deal registrations submitted by partners, and — just as importantly — their win rate once registered. A consistent flow of registrations signals strong selling activity; a flow of registrations that rarely convert points to a targeting or qualification problem rather than an activity problem.

• RevOps tip: Track both registration volume and registration-to-win rate in your PRM's deal-reg workflow. High volume with a low win rate means the fix is qualification training, not more registrations — redirect enablement spend accordingly instead of assuming the answer is always "more activity."

17. Partner program abandonment rate

This can reveal issues like a complex onboarding process or a weak value proposition for certain partner segments. Analyzing why partners leave — not just that they left — is what actually reduces churn. Our breakdown of why most partner onboarding fails covers the five most common root causes.

• RevOps tip: Calculate (partners who churned/went inactive ÷ total active partners at period start) × 100, tracked cohort-by-cohort each quarter in your PRM. Each abandoned partner represents sunk recruitment and onboarding cost with zero return — reducing abandonment by even a few points compounds, because retained partners produce increasing revenue over their lifecycle (see CLTV, #7).

18. Onboarding friction / time-to-first-deal

Aim for a streamlined enrollment process that minimizes friction and expedites onboarding, and measures it directly: track the number of days from "signed agreement" to "first registered deal." Getting partners started quickly means they generate revenue faster — and this single number is usually the clearest proxy for how frictionless your onboarding actually is, rather than relying on impressions alone.

• RevOps tip: Track days from "signed agreement" to "first registered deal" per partner cohort in your PRM. Every day of delay is a day of deferred revenue and a day closer to disengagement — model the aggregate revenue pull-forward across your active cohort to size the ROI of shaving even a few days off this number.

19. Content consumption depth

Beyond simple download counts (covered in metric #10), track which specific assets partners return to repeatedly versus which get opened once and ignored. High repeat-consumption on a specific asset — a battle card, an objection-handling guide — tells you exactly what to produce more of; assets nobody revisits are candidates to retire or rebuild.

• RevOps tip: Track repeat-view/download counts per asset per partner in portal analytics, not just total downloads. This tells you exactly which content to fund more of — reallocate content-production budget toward the asset types partners actually reuse in live deals, and cut spend on the ones nobody revisits.

Sales and Customer Success Metrics

Sales data reveals the performance and profitability of your channel program. Analyzing these metrics helps you identify trends and make data-driven decisions about where to invest next.

20. Customer satisfaction (partner-sourced)

Track satisfaction and retention for customers acquired through partners against those acquired through internal channels. This is a fast way to spot discrepancies and work with partners to close any gap in customer experience.

• RevOps tip: Collect CSAT/NPS post-sale, segmented by acquisition channel (partner vs. direct) in your CS platform. A gap here quietly caps partner-sourced CLTV (#7) and referenceability — closing it protects the long-term revenue value you're already crediting to the partner channel elsewhere in this list.

21. Net Promoter Score (NPS) by partner segment

Measures customer loyalty and likelihood to recommend. Analyzing NPS by partner segment shows you which partnerships contribute most to customer advocacy — and which segments might need a closer look at handoff quality.

• RevOps tip: Run the standard NPS survey and average scores by partner tier/type in your CS/BI tool. High-NPS segments are your best source of referenceable case studies and warm intros — prioritize co-marketing investment (#10) toward these segments, since they're where the compounding pipeline effect is strongest.

22. Average partner deal size

Track the average deal size generated by partners. This reveals the revenue potential associated with each partner and helps identify your highest-performing relationships.

• RevOps tip: Divide total partner-sourced revenue by number of partner-sourced deals, tracked by partner/tier in CRM. Read this alongside CAC (#6): a channel with a small average deal size can still be highly profitable if its CAC is proportionally low — deal size alone is a misleading ranking signal without that context.

23. Incentive program participation

Measure partner engagement with incentive programs designed to motivate desired behaviors. High participation indicates a well-designed program that effectively drives partners toward your goals — see our breakdowns of MDF, co-op, and SPIFF for how each incentive type is typically structured and measured.

• RevOps tip: Calculate (partners actively using MDF/SPIFF/co-op funds ÷ eligible partners) × 100 from your incentive-management module. Low participation despite eligibility is direct feedback on fund design, not partner effort — redesign the structure before increasing the fund pool, or you'll just be pouring more budget into the same leak.

24. Partner profitability

Helps you identify high-value partners and areas for optimizing partner margins. Focusing resources on your most profitable partnerships is how you maximize the program's overall ROI — revenue alone can be a misleading signal if the cost to support a partner is high. Profitability by segment is also a core input into partner lifecycle management decisions — which tier a partner sits in, and when to invest further versus off-board.

• RevOps tip: Calculate partner-sourced revenue minus fully-loaded partner cost (MDF + commission + support + ops overhead), by partner or segment, in your finance/BI tooling. Revenue-only reporting can make an unprofitable partner look successful; profitability is the number that should actually drive tiering and renewal decisions.

25. Product adoption via partners

Track partner success in driving product adoption among their customer base. High adoption rates signal that partners are effectively positioning your product's value and driving real customer engagement, not just closing a sale and moving on.

• RevOps tip: Join product usage/activation events for partner-sourced accounts (from your product analytics tool) to the CRM partner-source field. Low adoption despite a closed sale predicts churn and blocks expansion revenue — flag it early enough for CS or the partner to intervene before the renewal conversation, not after.

26. Partner-managed churn rate

Analyze customer churn specifically among accounts a partner manages post-sale. Where this runs higher than your direct-managed churn, it usually points to a support or service delivery gap on the partner's side rather than a product problem — worth investigating before assuming it's the latter.

• RevOps tip: Calculate (partner-managed accounts churned ÷ total partner-managed accounts) × 100, benchmarked quarterly against direct-managed churn. A materially higher rate here is a hidden revenue leak — quantify the lost ARR and use it to justify investing in partner-side CS enablement rather than quietly absorbing the loss.

27. Speed of service

Monitor how quickly partners resolve customer issues. Efficient resolution times protect customer satisfaction and minimize potential churn — slow ones erode the trust that got the customer to sign in the first place.

• RevOps tip: Track average time-to-resolution for partner-serviced tickets in your helpdesk/CS tool, benchmarked against your direct-support SLA. Slow service erodes retention and expansion revenue you already paid CAC to acquire — treat this as a retention-cost lever, not just a support-quality metric.

28. Closing speed

Measure time-to-close for deals facilitated by partners. Identifying bottlenecks in the sales cycle lets you streamline the process and accelerate deal velocity across your whole channel.

• RevOps tip: Track average days from opportunity creation to closed-won for partner deals in CRM, compared to your direct-sales cycle length. A shorter cycle at the same close rate is a pure efficiency gain — it pulls forward revenue recognition timing and frees sales-ops bandwidth, both of which are easy to quantify for a forecasting conversation.

29. Upselling and cross-selling

Track partner success upselling and cross-selling your product portfolio to their existing clients. This reveals which partners are adept at identifying additional customer needs and maximizing account-level revenue over time.

• RevOps tip: Track expansion revenue (upsell/cross-sell value) as a percentage of original deal value, by partner, in CRM/billing. Expansion revenue through partners is close to pure margin on an already-amortized CAC — it's often the single highest-ROI line item in a mature program, so it deserves its own line in any partner-program ROI report, not a footnote under "revenue."

Partnership Health and Efficiency

These four metrics zoom out from any single deal or campaign to answer a blunter question: is the relationship itself healthy, and is your team supporting it efficiently?

30. New partner onboarding time

Track the time it takes to onboard new partners from initial contact to fully operational status. Streamlining this process is one of the most reliable ways to reduce early-stage partner churn — our guide to why partner onboarding fails walks through the fixes that move this number fastest.

• RevOps tip: Track days from signed agreement to "fully operational" (defined by your program — e.g., certified plus first deal registered) in your PRM. Model the aggregate revenue pull-forward across your partner cohort from trimming even a week off this number to size the ROI of an onboarding-process investment before you make it.

31. Partner renewal rate

Monitor the percentage of partners renewing their agreements. Low renewal rates are one of the clearest possible signals of dissatisfaction with the partnership — treat a drop here as an early warning, not a year-end surprise.

• RevOps tip: Calculate (partners renewing ÷ partners up for renewal) × 100, tracked per contract term in your PRM. Renewal rate is your channel's retention economics — a 5-point improvement compounds the same way net revenue retention does for customers, protecting the CLTV assumptions baked into metric #7.

32. Partner-generated support tickets

Analyze the volume of support tickets generated by customers acquired through specific partners. High numbers often point toward gaps in that partner's training or communication rather than a product defect — cross-reference against metric #9 (training completion) before escalating.

• RevOps tip: Track ticket volume per partner per month in your helpdesk tool, cross-referenced against training-completion data (#9). High volume is a cost sink disguised as a support metric — fixing the root training or comms gap is almost always cheaper than continuing to staff support against it.

33. Resolution time for partner inquiries

Track the average time it takes to resolve inquiries or issues raised by partners themselves (not their customers). Efficient resolution times here are what maintain a positive, trust-based relationship — partners judge your program partly by how it feels to ask you for help.

• RevOps tip: Track average time-to-resolution for internal partner (not customer) support requests against an SLA in your helpdesk/PRM. Slow internal support is a quiet driver of abandonment (#17) — since replacing a partner costs far more than answering a ticket promptly, treat this as a retention-cost lever, not overhead.

Which KPIs Matter at Your Program's Stage

Not every metric above deserves equal attention on day one. Which ones matter most shifts as your program matures — a distinction we cover in more depth, with tracking recommendations by tool, in Measuring Impact in Your Partner Program With Marketing Metrics.

How AI Is Changing Partner Performance Measurement

For most of this list's history, "measuring performance" meant pulling a report after the fact — usually at the next QBR, usually too late to fix whatever the numbers revealed. That's shifting fast. Adoption of AI in partner enablement is already mainstream rather than experimental: one 2025 industry survey found 90% of companies have either implemented AI in their partner enablement strategy or plan to (Highspot, via Channel Fusion). At the enterprise extreme, Microsoft has deployed an AI-native partner marketing platform across its 500,000+ partner network, replacing manual campaign work with a conversational, goal-driven workflow (Business Wire) — a preview of where the whole category is headed, even if most B2B SaaS programs will never operate at that scale.

The part that matters for a program with a few dozen or a few hundred partners is what the same shift looks like one tier down:

• Predictive partner health, not quarterly guesswork. Instead of discovering a partner has gone quiet at the next check-in, AI-driven scoring (metric #13 above) flags engagement or pipeline drop-off while there's still time to intervene.
• Smarter fund and deal routing. Deal registrations and MDF requests increasingly get triaged by partner performance history and compliance status rather than sitting in a shared inbox waiting for a human to sort them.
• AI-assisted onboarding. New partners get routed to relevant training and assets automatically based on tier and vertical, directly improving metric #18 (time-to-first-deal) and metric #30 (onboarding time).

The honest caveat: data quality gaps, AI-fluency gaps among partner teams, and difficulty measuring AI's own ROI are the real obstacles right now — not a lack of appetite for the technology (Channel Fusion). If you're evaluating platforms with this in mind, our Best PRM Software in 2026 roundup grades all 24 platforms specifically on whether they ship genuine agentic automation versus a chatbot bolted onto an old dashboard. For a broader view of where this is heading, see AI PRM: How AI-Powered Partner Management Is Reshaping Referral, Reseller, and Affiliate Programs and our roundup of AI trends and predictions for 2026.

Final Thoughts

Measurable KPIs are the linchpin for optimizing partnerships — they're what turns "we think the program is working" into "here's exactly which 12 partners it's working for, and why." That kind of clarity is also what unlocks internal budget: it's far easier to justify a new hire, a new tool, or a bigger MDF pool when you can point to the specific number it will move.

Getting there manually — a spreadsheet, a handful of CRM reports, and a lot of copy-pasting before every QBR — is possible for a five-partner program. It stops being possible once partner-sourced revenue is a real line on your forecast. Journeybee brings the metrics in this guide into one real-time partner dashboard, synced directly with your CRM, so you're never more than a few clicks from the number leadership just asked about.

Explore This Guide

Measure and prove ROI

• Measuring Impact in Your Partner Program With Marketing Metrics
• CRM vs. PRM: Why a PRM Software Might Be the Answer
• How to Track MDF ROI: A Practical Framework

Build and fund the program these KPIs measure

• What Is Partner Marketing? The Complete Guide for B2B SaaS Teams
• What Is Channel Management Software? The Complete Guide (2026)
• Marketing Development Funds in Partner Programs (2026 Guide)
• MDF vs. Co-op vs. SPIFF: How Each Fund Really Works
• How to Grow a Successful Partner Ecosystem

Choose your platform

• Best PRM Software in 2026: The Top 24 Platforms Ranked
• Best PRM for Enterprise and Mid-Market (2026 Review)
• 5 Best SPIFF Software Tools for SaaS Channel Incentives