How to Evaluate a PMAP
The right questions separate purpose-built PMAPs from PRM suites with a marketing module bolted on. Use these as your evaluation framework.
Common questions about PMAPs, answered.
If you’re assessing partner marketing automation platforms, here’s what to ask, and what the answers should tell you.
What is a partner marketing automation platform (PMAP)?
A partner marketing automation platform is enterprise software that enables companies to scale co-marketing with their indirect channel partners, including resellers, MSPs, VARs, distributors, and system integrators. It handles campaign creation, content syndication, localization, and revenue attribution across partner ecosystems. Forrester formally defined and evaluated the PMAP category in its 2025 Wave report.
What’s the difference between PMAP and TCMA?
Through-channel marketing automation (TCMA) was an earlier category label for the same fundamental challenge: how enterprise vendors enable partners to market their products. PMAP reflects the evolution of that category, moving from navigation-based content portals to AI-native platforms that turn partner intent directly into executed campaigns. Modern PMAPs are defined by AI-first architecture, revenue visibility, and global scalability that traditional TCMA platforms weren’t built to deliver.
What’s the difference between a PMAP and a PRM?
PRM (partner relationship management) software manages the partner relationship: onboarding, deal registration, MDF, training, and program structure. A PMAP manages partner marketing execution: campaign creation, content personalization, localization, and pipeline attribution. The two are complementary. PRM handles who your partners are; PMAP handles how they go to market.
What companies need a PMAP?
Any enterprise B2B company generating 30% or more of revenue through indirect channel partners benefits from a purpose-built PMAP. This typically includes global technology vendors, telecommunications companies, and enterprise software businesses with reseller networks of 500+ partners across multiple markets. Companies in the Fortune 500 with complex, multi-tier partner ecosystems see the clearest ROI from a dedicated PMAP.
How does AI change partner marketing automation?
AI-native PMAPs like Structured replace the navigation-based portal model with intent-based execution. Instead of requiring partners to find templates and manually customize campaigns, AI generates market-ready, personalized content directly from vendor-approved assets, at scale, across languages, and tailored to each partner’s audience. This drives significantly higher partner adoption and faster time-to-market than traditional TCMA approaches.
What does Forrester say about PMAPs?
Forrester’s 2025 Wave evaluation of partner marketing automation platforms assessed the leading vendors on current offering, strategy, and market presence. The report helps enterprise B2B buyers identify solutions that align with their goals for scalable, AI-enhanced partner marketing automation. Structured was named a Leader in the evaluation, the only vendor focused exclusively on B2B partner marketing automation.
On Partner Experience
Does the platform require partners to navigate, or does it respond to their intent?
The best PMAPs eliminate navigation entirely. Partners express what they need and the platform delivers market-ready campaigns in response. If a platform still relies on folder structures, filters, and training videos, it is a portal, not a PMAP.
What does onboarding look like for a partner with no dedicated marketing resource?
This is the real test. A purpose-built PMAP should get a partner from login to live campaign without requiring marketing expertise on their end. If onboarding takes weeks or requires vendor support to complete, adoption will suffer.
What’s the typical time from login to live campaign?
Hours, not weeks. If the answer involves template selection, manual customization, and internal approval queues, the platform hasn’t solved the execution problem. It’s just digitized it.
On AI Capabilities
Is AI native to the architecture, or an add-on to an existing workflow model?
Native AI means the platform was designed around it from the start. Add-on AI means a content generator was layered onto a navigation-based portal. The distinction matters: bolted-on AI still requires partners to navigate to it.
Is the AI trained on your brand assets, or on general-purpose external data?
Brand-trained AI produces campaigns that are on-message, on-brand, and compliant from the first output. General-purpose AI introduces brand risk and requires significant human review before anything goes to market.
Who controls the guardrails, and how?
The vendor should control what the AI can and cannot do with their brand. Look for locked compliance sections, controlled co-branding zones, and terminology governance that travels with every campaign across every market.
On Global Scale
How does the platform handle campaign localization across 50+ markets?
It should be automated, not manual. AI-powered translation with terminology controls and compliance locks means localization happens in seconds, not weeks, without requiring a vendor-side team to manage each market.
What languages are supported, and how is translation quality governed?
Volume matters, but governance matters more. Look for platforms that support 100+ languages with brand terminology controls built in, not general-purpose translation that produces technically accurate but off-brand output.
Does it support multi-tier partner programs with different permissions and content access by tier?
Yes should be the baseline. Tier-based permissions, content access controls, and co-branding rules by partner level are table stakes for enterprise partner ecosystems.
On Revenue Visibility
What does the reporting dashboard show channel leaders?
It should show pipeline value, realized revenue, partner tier contribution, and campaign performance, not just engagement metrics. If the primary KPIs are logins and downloads, the platform isn’t built for revenue accountability.
Can the platform connect campaign activity to pipeline value and realized revenue?
This is the question most platforms can’t answer cleanly. Look for direct attribution between partner campaign activity and CRM pipeline data, not proxy metrics dressed up as revenue reporting.
How does attribution work across a multi-partner, multi-campaign ecosystem?
Attribution in a channel ecosystem is complex. The platform should handle multi-touch attribution across partners, tiers, and campaigns, and surface that data in a way channel leaders can act on, not just report on.
On Enterprise Fit
Is the platform SOC2 certified?
SOC2 certification is the baseline for enterprise security compliance. It should be a requirement, not a differentiator.
Does it support SSO integration and role-based access?
Both are non-negotiable for enterprise deployment. SSO reduces friction for partner login; role-based access ensures the right content reaches the right partners at the right tier.
How does it integrate with existing Salesforce, PRM, and incentive platforms?
A PMAP that operates in isolation creates data silos. Look for native integrations with your CRM, PRM, and MDF systems so campaign activity, deal registration, and revenue data flow together without manual reconciliation.