# Buying Group Intelligence for B2B PLG | Trailspark > Buying Group Intelligence unifies product and marketing signals into one account-level buying committee and scores it against your closed-won. See the whole group, not one lead at a time. _URL: https://www.trailspark.ai/buying-group-intelligence_ --- Buying Group Intelligence # Score the whole buying committee, not one lead at a time A real deal moves on a buying group, and that group's signals are split across your marketing and your product. A champion building in the trial. A security manager reviewing your SOC 2 report. A budget owner who hasn't appeared yet. Seeing them as one group takes both who they are and how they behave, read together across every surface. Legacy scoring only adds points to a handful of actions, so it never reads the whole journey, and the committee never surfaces. ## The same lens fixes both blind spots Legacy lead scoring · counts actions Priya Nair · VP PlatformMQL - Downloaded the "Architecting for scale" guide+10 - Attended the "Scaling event pipelines" webinar+15 - Viewed the pricing page 6 times+25 Score50 Routed to a rep as a lone contact. Never sees her product usage, the engineer in the trial, or that no Economic Buyer has surfaced. With Trailspark · reads the whole timeline Brightwave, Inc One account. Marketing and product activity, in sequence. 1. Jun 22 Priya Nair read the "Architecting for scale" guidemktg 2. Jun 23 Priya Nair attended the "Scaling event pipelines" webinarmktg 3. Jun 24 Priya Nair viewed the pricing page 6 timesmktg 4. Jun 25 Priya Nair heaviest product usage on the account, active 6 of 7 daysproduct 5. Jun 27 Sam Cole configured SSOproduct 6. Jun 28 Sam Cole connected the integrationproduct HIGHReasons through the sequence: Priya is your Champion, and the account is heating up. resolves into one buying group Brightwave, Inc· buying groupHIGH 3 of 4 roles identified · 2 engaged · Economic Buyer missing · 86% confidence - EngagedChampionPriya Nair · VP Platform - EngagedTechnical EvaluatorSam Cole · Staff Engineer - IdentifiedDecision MakerJ. Chen · VP Engineering · in CRM - NeededEconomic Buyerno one on the committee yet An exec sponsor engaging your scaling and pricing content while an engineer runs a live technical evaluation. Read together, this is an account with real propensity to buy. High propensity, missing a role. Trailspark writes the gap to your CRM so sales and marketing can launch a play to bring Finance into the deal. Legacy lead scoring · counts actions Casey Morgan · Director of OpsHOT - Downloaded a whitepaper+15 - Attended two webinars+30 - Opened the nurture track+20 Score65 Worked as HOT. An AE chases all week. With Trailspark · reads the whole timeline Vantage Labs One contact. Marketing noise, no product behind it. 1. Jun 19 Casey Morgan downloaded a whitepapermktg 2. Jun 22 Casey Morgan attended two webinarsmktg 3. Jun 26 Casey Morgan opened the nurture trackmktg No trial. No teammates. No product footprint anywhere on the account. LOWA single contact lighting up the nurture track, with no colleagues and no product activity. Looks hot, isn't. ## What each kind of platform sees What each category of tool sees for the same account, compared to Trailspark Your stack What it sees What it surfaces for this account Marketing-automation scoring Marketing engagement of known contacts A lone MQL on the VP. The 3-person trial doesn't exist to it. No account, no context. ABM / intent platform Third-party intent topics + IP→company “Someone at this company researched \[topic\].” None of the four real people; nothing to act on. PQL / product-led tool In-product usage only 3 separate trial users, each below threshold. No VP, no exec sponsor, no single account story. Community-engagement platform Community + multi-source signals as a feed Bubbles the account up by signal volume. Reflects noise, not committee shape or ICP fit. Trailspark Product + marketing unified into one account-level buying group, scored in a single pass against a natural-language ICP learned from your closed-won HIGH propensity, the full committee, plain-language reasoning, and which roles are still missing. ## Why this is hard, and why bolted-on AI can't do it The AI is the last 5% of the work. The hard part is getting your data into a shape where a model can reason about it: the same person and company described differently in product analytics, marketing automation, and your CRM, resolved into one account-level timeline before anything is scored. Identity has to be lossless, the input has to fit in a context window, and the evaluation has to be deterministic. The same signals in produce the same score out, with a plain-language reason. That normalization happens before the model, not by the model. It's the plumbing, not the prompt, that lets a buying group surface as one account. ## Same signals you already collect. A completely different thing to act on. Today · scattered across your stack Product analytics 3 trial users building, integrating, hitting limits all below PQL · invisible Marketing automation 1 VP, whitepaper + webinar MQLs · worked alone CRM · web · billing more signals, never joined up siloed Different platforms, separate scores, no shared view of the account. With Trailspark Brightwave, Inc· buying group of 4Propensity HIGH Scored against your closed-won deals - ChampionPriya Nair · VP Platform - Technical EvaluatorSam Cole · Staff Engineer - Decision MakerJ. Chen · VP Engineering - ⚠Economic Buyermissing An engineer runs a live technical evaluation while a VP-level champion engages your scaling and pricing content and a known decision maker re-engages in your CRM. No Economic Buyer yet; nurture Finance now to de-risk the close. Same signals you already collect. A completely different thing to act on. [Sign Up Free](https://app.trailspark.ai/register) ## Buying group intelligence questions ### ### ### ### ### ###