Impartner Launches Aimi Analytics for Partner Performance

Impartner launches Aimi Analytics with AI-powered reporting, customizable dashboards, and industry benchmarks to help vendors evaluate partner program performance.

Written By
Jordan Smith
Jordan Smith
Nov 11, 2026
3 minute read
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Impartner has launched Aimi Analytics, adding AI-powered reporting, customizable dashboards and industry benchmarking to its partner relationship management (PRM) platform to help technology vendors better evaluate partner program performance.

Aimi Analytics brings AI-powered reporting to PRM

Aimi Analytics is designed to make sense of data generated across multiple activities and business functions, giving teams a new way to investigate program performance, identify patterns, and make more informed decisions about their partner strategies. It is built on Impartner’s PRM offering.

The new update enables teams to create customer reports using natural-language queries by combining standard, preconfigured reports.

It enables users to explore business questions, analyze program performance, and organize relevant findings in personalized dashboards tailored to their priorities, which can be shared across their organizations. It also allows users to gain additional context through industry benchmarking.

Dashboards can be shared with other PRM administrators, as well, giving teams a consistent view of key metrics and helping align analytics across the organization.

Industry benchmarks provide partner performance insights

Aimi Analytics provides access to industry insights drawn from data available to Impartner across its network of more than 500 customers.

Organizations can gain additional perspective on their partner program performance and identify areas for closer examination by comparing their own results with broader industry trends.

“Companies have access to vast amounts of data, but transforming that information into a usable format that supports informed decision-making can be both challenging and time-consuming,” said Robert Harris, Vice President of Product Management at Impartner.

“With Aimi Analytics, teams can create the reports they need, share what they’re learning with colleagues, and see how their performance compares with broader industry trends. That makes it easier to understand what’s working and where they may need to make changes,” Harris adds.

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The update to the Aimi AI solution is another example of Impartner investing in AI opportunities to help organizations get more value from their partner data.

The organization is expanding its AI capabilities through its Model Context Protocol (MCP) Server, which connects Impartner PRM data to external AI assistants, such as Claude.

Greater visibility into partner program performance

For technology vendors, the launch of Aimi Analytics reflects a broader need for greater visibility into how partner programs contribute to revenue growth and business objectives.

As vendors increasingly rely on indirect sales channels, understanding partner performance requires more than tracking deal registrations and revenue totals. Channel leaders also need insight into partner engagement, pipeline progression, enablement effectiveness, and the performance of different segments of their partner ecosystems.

AI-powered reporting and industry benchmarking could help vendors identify which partners and program investments are producing results, where engagement is declining, and whether their performance aligns with broader industry trends.

These insights can inform decisions about partner recruitment, incentives, enablement resources, and program structure. They may also help channel leaders demonstrate the value of partner investments to executives who increasingly expect measurable returns from indirect revenue strategies.

For Impartner, Aimi’s expansion presents an opportunity to position PRM platforms as more than systems for managing partner relationships. As vendors seek to make their channel programs more efficient and accountable, the ability to turn fragmented partner data into actionable performance metrics could become an increasingly important part of how they evaluate and manage their ecosystems.

Jordan Smith

Jordan Smith is an enterprise technology and cybersecurity journalist with nearly a decade of experience covering B2B IT, federal technology, artificial intelligence, cybersecurity, cloud computing, and emerging digital trends. His reporting helps business and technology leaders understand how new technologies, security challenges, and infrastructure decisions affect modern organizations. Jordan has reported on enterprise and public-sector technology for TechnologyAdvice, HCLTech, MeriTalk, and Channel Insider. His background spans cybersecurity, cloud infrastructure, AI adoption, digital transformation, and federal IT initiatives, giving him a broad perspective on the tools, policies, and innovations shaping today’s technology landscape. Before joining TechnologyAdvice, Jordan served as a Senior Technology Reporter at MeriTalk, where he covered the federal IT space, and later worked as a US Regional Reporter and Copy Editor/Writer for HCLTech. His experience across reporting, copyediting, podcasting, and event moderation allows him to translate complex technical topics into clear, timely, and useful insights for business audiences. Jordan holds a Master of Arts in Journalism from the University of Nebraska–Lincoln and a Bachelor of Science in Criminal Justice and Psychology from Edgewood University. Through his work, he helps readers stay informed about cybersecurity developments, enterprise technology trends, and the business impact of emerging IT solutions.

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