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.
Legacy lead scoring · counts actions
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
One account. Marketing and product activity, in sequence.
resolves into one buying group
3 of 4 roles identified · 2 engaged · Economic Buyer missing · 86% confidence
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
Worked as HOT. An AE chases all week.
With Trailspark · reads the whole timeline
One contact. Marketing noise, no product behind it.
No trial. No teammates. No product footprint anywhere on the account.
Marketing engagement of known contacts
A lone MQL on the VP. The 3-person trial doesn't exist to it. No account, no context.
Third-party intent topics + IP→company
“Someone at this company researched [topic].” None of the four real people; nothing to act on.
In-product usage only
3 separate trial users, each below threshold. No VP, no exec sponsor, no single account story.
Community + multi-source signals as a feed
Bubbles the account up by signal volume. Reflects noise, not committee shape or ICP fit.
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.
The AI is the easy part. Trailspark builds the semantic layer that lets it reason consistently: the same person and company described differently in product analytics, marketing automation, and your CRM, resolved into one account-level timeline before anything is evaluated.
Identity has to be lossless, the input has to fit in a context window, and the evaluation has to be consistent. In our internal testing, the same signals produce the same score roughly nine times out of ten, always with a plain-language reason. That normalization happens before the model, not by the model.
And the model has to know when to look. New signals arrive constantly; most change nothing. Trailspark re-evaluates an account when something meaningful changes for it, not on a timer and not on every event. It's the plumbing, not the prompt, that lets a buying group surface as one account.
Today · scattered across your stack
3 trial users building, integrating, hitting limits
1 VP, whitepaper + webinar
more signals, never joined up
Different platforms, separate scores, no shared view of the account.
With Trailspark
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.