Thirty years ago I sat in a training classroom and learned to colour bright red flags beside every missing stakeholder on my Strategic Selling blueprint. Back then my toolkit was a marker, a print-out and a lot of detective work. Last week, in the Demandbase × Forrester × Workday webinar on Buying Groups, I watched that entire manual ritual get rebuilt in real time by data and AI.
Why Buying Groups matter right now
Forrester’s latest State of Business Buying report shows that on average thirteen people touch a B2B purchase and almost nine in ten deals stall somewhere along the path because teams overlook key voices in that group. Traditional lead-based funnels leave those voices silent and account-only views are still too coarse. Buying Group thinking hits the happy middle and turns the whole committee into actionable intelligence.
Three headline takeaways from the webinar
• Engaging three personas instead of one multiplies pipeline conversion and inflates deal size.
• Contact-level intent signals now predict momentum better than firmographic fit.
• Marketing’s new mandate is to package those signals and arm sellers while the window is still warm.
Infinityn has already woven these ideas into our own go-to-market audits and client playbooks. Contact coverage is now a stage-gate in every pipeline review we run.
What is new in the Demandbase Buying Group stack
In the past eighteen months, Demandbase has shipped a flurry of enhancements that make Buying Groups practical at scale:
• Buying Group Insights shows exactly which personas are engaged in each journey stage so teams can patch gaps before deals drift.
• Agentbase trio – Setup, Filter, and Action Agents. Setup Agent autogenerates buying groups and personas from your first- and third-party data. Filter Agent slices engagement so marketing can prioritise the hottest roles. Action Agent pushes next steps straight into CRM, Outreach, or Marketo without tab-hopping.
•Data Stream for Buying Groups opens raw group-level data for export to any analytics or activation layer you like, from BI dashboards to programmatic ad sequencers.
• Person-based Intent Slack alerts surface anonymous but high-fit visitors and recommend the human behind the click.
• Assign, confirm or dismiss recommendations inside Demandbase One for Sales so reps can clean the roster and focus on the true committee.
• Buying Group AI for Advertising lets digital teams target the collective, not just titles, and optimise creative around multithreaded engagement.
These releases stack up to one big promise: the platform finds the people, scores their intent, tells you who is missing and lets you act without leaving the screen.
How we use this at Infinityn
Our own revenue teams give every opportunity a Coverage Score that mirrors Demandbase’s Completeness metric. If the score dips below the benchmark we trigger an automated play that enriches or researches the missing role, syncs it to CRM and kicks off a tailored email and LinkedIn sequence. Clients see the same framework in our GTM Accelerator program, only we overlay their ICP nuances and route insights back into their sales engagement stack of choice.
First steps if you are new to Buying Groups
• Pilot one segment for ninety days. Manually map extra contacts, compare conversion lift and publish the story.
• Instrument contact-level intent. Even simple web-to-CRM routing exposes silent researchers.
• Automate with AI once the motion is proven. The new Setup and Action Agents remove the heavy lifting once your playbook is clear.
The bigger picture
Buying Group methodology does more than fix pipeline leaks. It aligns marketing, sales and rev-ops around the reality inside a buyer’s Zoom room and it gives generative AI the context it needs to recommend truly human actions. That is exactly the future we are building at Infinityn International: an AI-powered go to market agency where every decision is grounded in the voices of the whole committee, not just the loudest lead.
Let us retire lone-wolf selling and serve the full buying brain trust together!