Platform · Analytics & Intelligence
SAGARIS forecasting shows you its confidence
Close rates that learn from your own closed deals and sharpen as they accumulate. The forecast page puts a simulated range around the quarter, not a single figure.
Built for modern revenue teams
Q3 Forecast · Live
$1.24M
Commit · Your own close rates
Call · Thu 14:02 · 32 min
“Pricing objection handled, verbal yes on annual.” From the call transcript.
Illustrative sample deals · The evidence sits beside every number
Two forecasts. One earned its number.
Most forecasts stop at a fixed percentage per stage. This one recalibrates those rates from your own closed deals, and discounts any deal whose qualification carries no cited evidence.
Default stage percentage
$1.61M
Illustrative · default rate, same for every deal
Calibrated on your deals
$1.24M
Illustrative · your own close rates
When the CFO asks why, you have the answer.
See the trend, week by week.
Illustrative example
+64%
since switching on briefed follow-ups (illustrative example)
Week 12 · The dip: two reps out, follow-ups slipped. It showed.
Week 26 · Best on record
Catch a deal going cold, early.
SAGARIS watches the conversation on every deal. It flags the warning signs early: silence, slipped close dates, a single contact. The next step is put in front of you.
Illustrative · Watching 28 open deals · 3 flags this morning
- Fenwick · quiet 9 days$44K at riskFollow-up queued
- Brightwood · close date slipped twiceCommit integrityFlagged to owner
- Tenmark · single-threadedOne contact onlyIntro play suggested
Questions, answered plainly.
The answers RevOps and finance ask about forecasts, signals and evidence.
More questions? Talk to us →- MOST ASKED
It recalibrates. Every workspace starts on a standard ramp, and once five of your own closed deals have passed through a stage, that stage's rate becomes yours. Qualification counts where it carries cited evidence on the deal, and the forecast page puts a simulated range around the quarter rather than a single figure.
ForecastSignalsEvidenceRiskInsightsWinsBattlecardsKnowledge Anything the deal actually did: a call outcome, a reply, a meeting booked, a thread going quiet, a date slipping. Cited qualification and time in stage move a deal's probability. Silence, a slipped date and single-threading raise its risk flag. Two channels, kept separate on purpose.
The engine watches every open deal's activity and flags decay early, including silence, slipped close dates and single-threading, and puts the next step in front of you.
You can see what it is made of. The forecast lists the deals it counts with their probabilities, and each deal's own record keeps the calls and threads behind it. The evidence sits with the deal rather than in a separate report.
Right beside your pipeline, in the same system. Reply-to-meeting rates, win reasons and coaching signals sit next to the revenue they explain, not in a separate export.
For revenue reporting, yes. The numbers come from the same records your team already works in, so pipeline questions get answered without a separate query. Keep your warehouse for finance if you prefer.
A forecast you can defend.
See the forecast built on your own pipeline, with the deals it counts and the risk flags standing against them.
No setup · Your own pipeline · 30 minutes
Next door
What this connects to
- Marketing attributionWhich channel earned the pipeline these forecasts count.
- Sales incentivesThe same activity rows, scored as points and streaks.
- AI CRMWhere the deals behind every number on this page live.
- SAGARIS for sales teamsThe deal side of the same signals: quiet stakeholders, single threads and slipping dates.
In this topic
CRM, pipeline and revenue data
- The SAGARIS CRMA pipeline that updates itself from your calls, email and SMS.
- Marketing attributionOne deal scored under six attribution models at once.
- CRM documentationContacts, leads, opportunities and stage moves.
- Signals and memory documentationSignals derived from a contact's own history, nothing bought or guessed.