GTM analytics everyone can use.

Relation and metric filters. “Accounts associated with open opps.” “Campaigns that influenced pipeline this quarter.” Multi-condition views that would otherwise need a custom report or a warehouse query, built point-and-click.

Formula columns. Define derived fields right in the grid with spreadsheet-style expressions, so standard calculated metrics don’t require an external BI layer.

Saved and shareable. Every filtered view gets a stable share link, so it becomes a durable reference you can bookmark or drop into Slack, not a one-off query that breaks when you reload.

From list to analysis. Export any set to CSV, or select opportunities and trigger AI analyses on them in bulk, straight from the list.

Outcomes, not just activity. Influenced pipeline, sourced opportunities, accounts activated, people engaged, computed for every campaign, channel, page, and rep, instead of stopping at opens and clicks.

Benchmark Comparison. Place any metric side-by-side with comparable peers. A campaign that outperformed three similar campaigns reads very differently from one judged in isolation.

Drill down to the deals. Every report card opens into the underlying account and opportunity lists, so a number is a starting point for the next question, not a dead end.

Standard measures, already built. BI tools make you define every metric before a dashboard ships, often weeks of work before a single number is visible. Upside inverts that: standard GTM measures are live immediately, and custom formula columns handle the edge cases.

One definition, everywhere. “Opportunities influenced” means the same thing in a campaign report card, a channel explorer, and a list filter, so two teams asking the same question get the same number.

Auditable by design. Every figure has a traceable definition rather than a formula living in someone’s spreadsheet, which is what makes it defensible when finance drills in.

Channels that match how you work. Build named buckets from UTM parameters, engagement signals, and spend data, then split or combine them however your programs are actually organized.

Real-time, not reprocessed. Rule changes apply instantly, with no multi-day recalculation lag and no stale classifications sitting around while a job runs.

Bring your channel rules with you. Import your Marketo Measure (Bizible) channel definitions as they are. The same rules run on Upside’s cleaned, fuller data, so they now catch the touchpoints the old setup missed.

Every channel gets a report card. Each custom channel and sub-channel comes with the same full set of Upside metrics as the system-defined channels, so a custom grouping is a first-class view, not a second-class one.

A check on the AI. When Deep Research or an agent returns a finding, the dashboard shows the underlying record it was built from, in a format your team already reads. Trust it, or catch it, before it drives a decision.

Provenance on every metric. Drill from a campaign’s influenced pipeline down to the specific opportunities and touchpoints behind it. The supporting evidence is one click away, not buried in a report someone built two quarters ago.

One consistent definition. Preset metrics are computed the same way on every surface, so the number an agent quotes and the number on the report card are the same number.

The cross-team record, auditable. The activity log in Account Explorer shows every team’s touch on an account, so it’s the record itself that’s auditable, not just a summary of it.