Deal health scoring, AI MEDDPICC assessment, tender fit with verified evidence, and configurable account scoring — transparent components, never a black box.
Join WaitlistMost scoring tools hand you a mystery number. SalesDots scores what actually matters in B2B — deals, opportunities, and accounts — with the components visible: you can always see what moved a score and why. When the AI can't back a claim with evidence, the score is capped, not inflated.
A 0–100 health score calculated server-side from weighted components — qualification, engagement, velocity, and completeness — recalculated automatically as the deal changes. The weights are visible, not secret.
Every tender is scored 0–100 against your business with an evidence check: supporting quotes are verified against the source document, and claims that fail verification cap the score. No confident nonsense.
Go-to-market account scores with weights your team sets — subscores stay visible, so a ranking is an argument you can have, not a verdict you must accept.
Composite health per deal with its components, plus a dashboard view of the deals slipping — before the forecast call.
Each qualification pillar assessed 0–100 from deal evidence; the pillar scores feed the health formula directly.
A rubric-based 0–100 fit score for every opportunity, with anti-hallucination evidence validation built into the pipeline.
A configurable-weight account score with visible subscores — tune it to your go-to-market, not ours.
Financial-risk scores computed from filings data flow into the same account picture.
Scores recalculate when the underlying data changes — health updates on every deal edit, not on a weekly job.
Deals, documents, meetings, and enriched account data accumulate as scoring evidence.
Weighted formulas and AI assessments compute scores with their components attached — evidence-checked where AI is involved.
Ranked deals and accounts focus the team; any score can be unpacked to its parts when someone disagrees.
Three levels: deals (a 0–100 health score from weighted components plus AI MEDDPICC pillar scores), opportunities (every tender scored against your business with evidence verification), and accounts (a configurable go-to-market score with visible subscores plus financial-risk signals).
No — deliberately. Deal health is a fixed weighted formula computed at the database level with its components stored alongside the score. AI is used where judgment is needed (MEDDPICC assessment, tender fit), and there it must cite evidence — claims that fail verification cap the score instead of inflating it.
Account GTM scoring uses weights your team sets, and subscores stay visible so you can see exactly how the ranking arises. Deal health weights are fixed and published in the score's components — consistency across teams is the point there.
On change. Deal health recalculates automatically whenever the deal's data changes — stage, engagement, qualification. Tender fit scores are computed as new opportunities arrive, on a schedule with cost guardrails.
Evidence validation. For tender fit, the supporting quotes the AI cites are checked against the actual source text; a failed check caps the score. For deals, assessments that lack evidence show as gaps rather than being papered over with plausible numbers.
Works best when combined with these modules
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