Pipeline Scoring & Lead Conversion

Your reps work whichever lead is newest, loudest, or theirs — and the CRM's 0-to-100 lead score doesn't help, because it explains nothing and means nothing in…

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Что умеет

  • Lead Pipeline: Scores an open sales pipeline of 500 lead rows OR FEWER into conversion probabilities, money at risk / value of contact, funnel stage outlook, multi-touch Shapley attribution, and a dai
  • Lead Pipeline Get Engine: For pipelines LARGER than 500 lead rows. Returns a complete, runnable Python script that loads the lead export in your sandbox and scores it via the Lead Pipeline API (conver

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Your reps work whichever lead is newest, loudest, or theirs — and the CRM's 0-to-100 lead score doesn't help, because it explains nothing and means nothing in dollars. This reads your lead and funnel history from a CSV or CRM export and returns what a rep can actually act on: how likely each lead is to convert, roughly when, and what a conversation this week is worth compared to one next month. It ranks the morning call list by money at stake rather than by score, so a deal that would close regardless drops down the list while one quietly going cold rises to the top. It flags stalling leads before they die rather than after, projects what your current pipeline is genuinely worth as won revenue, and spreads credit fairly across every touch that contributed to a closed deal instead of handing it all to the last click or the first ad — which is how marketing finally finds out which channels produce customers rather than clicks. Managers get the pipeline version of the same number — "$210,000 of pipeline is stalling this week across 14 leads, here's the ranked list" — always as a range with its reasoning attached, never a bare figure. Every score returns its full explanation, model version and date, because a rep who can't see why will ignore the number. Under two minutes at any pipeline size, SOC-compliant, GDPR and DPDP ready, free while in early access.

Список инструментов сервера (2)

Технические названия из tools/list. Нужны только разработчикам.

lead_pipelineScores an open sales pipeline of 500 lead rows OR FEWER into conversion probabilities, money at risk / value of contact, funnel stage outlook, multi-touch Shapley attribution, and a daily CALL / NURTURE / VERIFY queue. Send the rows directly; this server scores them and returns the full result including the per-lead ledger. For pipelines LARGER than 500 leads use lead_pipeline_get_engine instead — sending thousands of rows as tool arguments is slow and risks truncated JSON. Needs lead rows (lead_id, created_date; optional stage, status, closed_date, deal_size, source) from CSV, Salesforce, HubSpot, or any CRM. Optional touches and stage_history improve uplift learning, Markov funnel, and attribution. Returns manager decisions (CALL TODAY / PUSH FORWARD / QUALIFY), call queue, pipeline exposure headline, per-lead money, and explanation traces. Do not invent scores — call this tool when lead data is available.
lead_pipeline_get_engineFor pipelines LARGER than 500 lead rows. Returns a complete, runnable Python script that loads the lead export in your sandbox and scores it via the Lead Pipeline API (conversion probabilities, money layer, Shapley attribution, CALL / NURTURE / VERIFY queue). The rows never pass through you as tokens, so a 10,000-lead export costs the same to orchestrate as a 600-lead one. Stdlib only; needs network access to the scoring API. Prints ranked decisions and headline figures; writes the full per-lead ledger to lead_pipeline_result.json. SAVE AND RUN THE RETURNED SCRIPT VERBATIM — do not retype, shorten, reformat, or reimplement it; only PATH / TOUCHES / STAGE_HISTORY / AS_OF / CURRENCY / OUT / API_BASE / API_TOKEN may be edited. Optionally takes touches_path and stage_history_path for engagement and funnel history.