The New Rules of Co-Selling in an AI World
Audience: Partner VPs, CROs, Alliance Leaders, GTM Executives
Whether you’re driving SaaS, AI, cloud, or infrastructure, or leading sales, marketing, finance, engineering, or customer success, you’re navigating a thrilling shift. As a veteran partner pro, I’ve seen co-selling evolve from manual lead swaps to an AI-powered powerhouse. With cloud software hitting 38.5% channel-driven growth by 2025 (IDC), the rules are changing fast. Here’s a actionable guide to keep your partner programs, GTM, and revenue strategies ahead of the curve.
Rule 1: Prioritize Ethics, Trust, and Data Governance
AI’s power demands responsibility. Shared data fuels co-selling, but mishandling privacy or bias erodes trust. Transparent AI use, aligned with ethics frameworks, is critical to comply with GDPR and emerging regulations. For C-level roles, embed governance in partner agreements—ops and legal teams will thank you. In programs like Microsoft’s, explainable AI builds credibility. Foster open data-sharing dialogues with partners; it’s the glue for sustainable co-selling.
Rule 2: Integrate into AI-Powered Marketplaces and Ecosystems
Co-selling thrives in ecosystems. AI-fueled marketplaces like AWS or Azure enable seamless co-listing, co-marketing, and co-selling, with automation driving insights. For cloud and infrastructure pros, listing AI solutions here boosts visibility. Strategy and BD teams can leverage tech partnerships for co-marketing wins, like joint webinars or AI hackathons. Don’t just join—co-innovate to deepen ties and amplify enablement and marketing impact.
Rule 3: Embrace AI for Smarter Partner Matching and Alignment
Finding co-sell partners once felt like guesswork. AI analyzes profiles, deal histories, and customer overlaps for precise alignments, offering real-time recommendations that outpace quarterly reviews. For SaaS and AI teams, this means less hunting, more closing. Integrate AI into your CRM for partner scoring to supercharge sales and pre-sales alignment.
Rule 4: Automate the Mundane to Amplify Human Connections
AI is your sidekick, handling lead qualification, data entry, or outreach. This frees sales, pre-sales, and operations for trust-building and ecosystem nurturing. McKinsey notes AI boosts productivity 20-30% by automating low-value tasks. Picture AI drafting co-sell proposals while BD focuses on joint demos. Train enablement teams to oversee AI outputs, keeping the human touch alive.
Rule 5: Harness Predictive Analytics for Proactive Opportunity Spotting
Old co-selling waited for leads. AI’s predictive models analyze shared datasets to forecast upsell or churn risks early. Forrester highlights AI’s role in spotting complex opportunities, like pairing your ML tools with a partner’s data platform. Pilot with one vertical, measure win rates, and scale. It’s math meeting strategy for revenue and finance teams.
Rule 6: Personalize at Scale with Generative AI
Generic pitches are history. Generative AI crafts tailored narratives or demo scripts per customer, resonating in B2B tech. Demandbase showcases personalized workflows, and McKinsey ties this to revenue growth. Customer success and education teams can co-create AI-generated materials, like fintech-focused pitches. Review outputs for authenticity to amplify your marketing and sales voice.
Wrapping up: AI supercharges co-selling, turning partnerships into revenue powerhouses. Audit your stack, where can AI plug in? Connect with peers, experiment boldly, and keep relationships at the heart. Drop me a comment on LinkedIn. What’s your next AI co-sell move? Stay ahead, stay connected.
A Checklist for Execs to Review with Their Teams
Are we tracking the right co-sell KPIs (beyond sourced revenue)?
Do we use AI to improve messaging, targeting, or enablement?
Have we launched a co-branded campaign in the past 60 days?
Do our AEs know the top 3 reasons this partner wins deals with us?
Are partner motions integrated into sales team cadences or still ad hoc?