Trust
Numbers That Never Match the CRM
Partner pipeline gets rebuilt in a spreadsheet, so the figure in the board deck disagrees with the CRM. Once two numbers exist, the whole segment gets discounted.
Pipeline value by stage, forecast sections, per-partner performance, and target attainment, all read from the same deal records as deal registration and CRM sync. Push the same numbers into Power BI or Tableau with the built-in OData feed.
Direct revenue arrives with a stage breakdown and a weekly forecast. Partner revenue arrives as a slide someone rebuilt by hand the night before.
Partner pipeline gets rebuilt in a spreadsheet, so the figure in the board deck disagrees with the CRM. Once two numbers exist, the whole segment gets discounted.
Direct pipeline is forecast every week. Partner pipeline gets a total and a hope, because nothing splits it by stage or shows what is genuinely going to land.
By the time a partner shows up in a churn review, they stopped registering deals two quarters ago. The signal was in the data. Nothing surfaced it.
Pipeline value by stage, forecast sections, and per-partner performance in a single view, scoped to your organisation and read from live deal records.
Four things a partner leader needs before a board meeting: pipeline by stage, a real forecast, per-partner performance, and the ability to hand all of it to the analytics team.
Deal pipeline metrics cover the whole partner pipeline: value by stage, a stage summary with counts and value, and deal focus counts that show exactly where attention is needed this week.
Forecast views break partner pipeline into sections, so partner-sourced revenue belongs in the weekly forecast call instead of a quarterly slide. It reads the same deal records the CRM syncs, so the two agree.
See what each partner actually produced: deals registered, how far those deals progressed through the stages, and how they finished. Set overall targets and watch contribution build toward them, with engagement scores flagging the partners going quiet.
An OData feed exposes the same data to the BI tool your board already reads, so partner numbers land in board reporting instead of being retyped. A public REST API and webhooks cover teams pushing into their own warehouse.
Partner program reporting fails on credibility, not on chart types. Airstride reads one set of records, forecasts them properly, and hands the same data to whoever asks for it.
Analytics reads the same records as deal registration and CRM sync. The pipeline number in your board deck is the number on the deal in your CRM.
Partner pipeline is split into forecast sections, so it can be committed against and reviewed weekly like every other revenue segment.
The OData feed, REST API, and webhooks put partner data where your analysts already work. Nobody retypes a figure into a board pack again.
Every query is scoped to your organisation, in the app and over the API, so partner data never crosses an org boundary.
Analytics counts what the rest of the platform creates, then feeds the decisions you make about each partner.
The questions channel leaders ask before they put partner numbers in front of a board. Something else on your mind?
Talk to SalesYes. Every metric reads the same deal records as deal registration and CRM sync, so the pipeline value in a report is the value on the deal in your CRM. Nothing is recalculated in a second system, and there is no nightly spreadsheet to rebuild.
See partner pipeline by stage, forecast partner-sourced revenue, rank partners on what they produced, and feed the same numbers straight into your BI stack.