Home page Analytics
Forecast accuracy ±9% · vs ±35% industry average

Forecast based on signals.
Not based on a salesperson's wishes.

No more blind "70% confidence" manually entered. Luminote forecasts deals based on buyer signals from conversations, scoring in 3 frameworks (MEDDIC, SPIN, NEAT) and the history of similar deals.

Try free for 14 days View dashboard
Pipeline Dashboard

Your pipeline at your fingertips.
Signal-based forecast.

All deals, stages, signals, MEDDIC/SPIN/NEAT scoring, and win probability — in one real-time updated dashboard.

Pipeline · Q4 2025
Closed Won
487k PLN
▲ 23% vs Q3
AI Forecast Q4
812k PLN
▲ 18% vs target
Avg signal score
6,8/10
▲ +0,4
Win rate (90d)
34%
▼ -2 pp
SepOctNovdec JanFebMarApr MayheyJulSep
Top deals (Forecast)
NovaTech Poland · 120k PLN · Demo scheduled
Demo
SPIN 8/10
89%
ACME Industries · 75k PLN · Awaiting IT demo
Discovery
MEDDIC 7/10
78%
Brevix Group · 42k PLN · Awaiting DPA
Negotiations
NEAT 5/10
54%
Saphir sp. z o.o. · 38k PLN · Competitor mentioned
Discovery
MEDDIC 3/10
22%
How it works

Three sources. One forecast.

Luminote combines conversation signals, scoring in 3 frameworks (MEDDIC, SPIN, NEAT), and historical patterns of won deals — into one verifiable predictive model. You choose the framework, AI fills it in.

01 · Buyer Signals

14 signal categories

From every conversation: budget mentioned, decision-maker, urgency, competitor brought up, blockers, churn risk. Each with an exact quote and timestamp.

  • Score 1-10 per signal
  • Deal-level aggregation
  • Quote from transcript
02 · MEDDIC / SPIN / NEAT

Three evaluation frameworks to choose from

MEDDIC for large enterprise deals, SPIN for discovery and question-led selling, NEAT for modern SaaS B2B. AI fills them all automatically from transcripts — you choose which one to see in your pipeline.

  • MEDDIC — Metrics, Economic Buyer, Decision Criteria, Process, Pain, Champion
  • SPIN — Situation, Problem, Implication, Need-payoff
  • NEAT — Need, Economic impact, Authority, Timeline
  • Switch anytime — no migration
03 · Historical

Winning deal patterns

The model learns your history — which deals you win, which you lose, when. The forecast is personalized to your process, not generic.

  • Win/loss patterns
  • Sales cycle benchmarks
  • Customized model
Results

What changes in numbers,
when the forecast works.

±9%
forecast accuracy vs ±35% in classic CRM
+41%
pipeline data quality — deal completeness
−85%
time for weekly manager reports
+18%
team quota attainment Q4 vs Q3
Automations

Rules that work by themselves.
No Zapier, no code.

Every event in Luminote — a finished call, a new signal, an opened offer, no follow-up after 3 days — can trigger a reaction. Send a Slack alert, update a field in CRM, add a task, send a sequence. All in an if-this-then-that wizard, without touching code.

  • 14 trigger types — call, signal, deal, proposal, no activity
  • Cross-module actions — Slack, CRM update, mail, task, sequence start
  • Automation Feed — see every rule execution in real-time
  • Human-in-the-loop — client actions (mail, sequence) are awaiting your approval
  • Team rules — manager defines once, works for everyone
Automations · active rules 4 of 12
Client opened the offer 7× / today
IF offer opening THEN Slack alert + task 'Call'
Signal "budget confirmed" 3× / week
IF signal score > 8 THEN deal → Hot Pipeline
No follow-up for 3 days twice / week
IF deal > 3 dni bez aktywności THEN start sequence
Churn risk detected 1× / week
IF signal "too expensive" THEN escalate to manager
Automation Feed: 23 rules ran this week · saved 9.4 h of work

A forecast your CFO will trust.

See what your pipeline looks like when you base it on signals from conversations, not on a salesperson's intuition.

Try for free See privacy →