Lucida

Lucida is a web-based lead-scoring service that ranks inbound prospects by predicted likelihood of conversion. It accepts CSV files from CRMs, forms, ads, webinars, and spreadsheets, including data that may need cleaning. The model learns from a team's won and lost deals, prepares features, balances classes, and trains around that team's conversion pattern. Lucida identifies useful signals without requiring manual schema mapping, then returns ranked lead lists that can be exported into a CRM. The service is positioned for growing sales teams, expanding departments, and enterprise operations seeking machine-learning lead scoring without a data science department. The first lead ranking is free before choosing a paid plan. Its Free plan includes one full ranking, one custom model, and export of the top 100 ranked leads, with no credit card required. Starter costs $299 a month, Pro costs $799 a month, and Scale costs $1,999 a month. Lucida reports 68% less time on dead leads and a 3.4x reply rate on top scores.

Lucida focuses on ranking prospects using a team's own conversion patterns and can export results to a CRM. The free ranking allows an initial use without a paid plan, while recurring pricing starts at $299 a month.

Lucida is aimed at growing sales teams, scaling departments, and enterprise operations that want to prioritize inbound leads using their own deal history. It may suit teams that can provide prospect and historical outcome data as CSV files.

Lucida is a web-based lead scoring tool for sales teams that want to rank prospects by their likelihood of converting. It fits best when a team has a history of won and lost deals to learn from. Its single free ranking offers a low-commitment way to assess the workflow; continued use starts at $299 a month.

Overview

Lucida builds its scoring around a team’s own conversion pattern: it takes past wins and losses alongside fresh prospect files, then returns prospects in predicted-conversion order. That makes it a more relevant fit for teams with usable deal history than for those starting from scratch. Its promise is practical—help sales staff spend more attention on leads with stronger predicted odds—but the value depends on the quality of the history and the volume of new prospects.

The product is aimed at growing sales teams, scaling departments and enterprise operations that want machine-learning lead scoring without a dedicated data science department. Lucida reports 68% less time spent on dead leads and a 3.4x reply rate on top scores. Those figures describe the outcomes it claims, not a result every team should assume.

Key features

• Multiple prospect sources: Lucida accepts CSVs from CRMs, forms, ads, webinars and spreadsheets, including messy files. That gives teams a way to combine prospect data from several channels without manual schema mapping, though the model still needs relevant historical wins and losses.
• Team-specific model training: The pipeline prepares features, balances classes and trains a scoring model around a customer’s conversion pattern. Automatic feature detection reduces the need for manual signal selection, a useful advantage for teams without data science staff.
• Ranked lists and CRM export: New prospects are returned as ranked lists by conversion probability, and the results can be exported into a CRM. This connects prioritization to an existing sales workflow, though the plans differ in workflow count and lead volume.
• Predictive scoring: Lucida predicts conversion likelihood from historical outcomes rather than relying only on a fixed scoring rule. That is most useful when a team’s past deal results are a meaningful guide to which new prospects will convert.

Pricing

Lucida has a free plan and three monthly paid tiers. The first full lead ranking is free, so a team can see its scoring workflow before taking on a recurring bill.

• Free — free: One full lead ranking, one custom ML model and export of the top 100 ranked leads, with no credit card required. It is suited to an initial evaluation, but the single ranking and 100-lead export cap make it a short proof run rather than an ongoing sales process.
• Starter — $299 a month, billed monthly: One CRM workflow, up to 10,000 leads per month, email support and accuracy metrics. This is the entry point for teams running one continuing workflow; it does not include the API access or multiple workflows offered at Pro.
• Pro — $799 a month, billed monthly: Two to three workflows, up to 25,000 leads per month, API access and priority support. It is a better fit for departments scoring across several workflows or needing API access, at a substantial step up from Starter.
• Scale — $1,999 a month, billed monthly: Unlimited leads, custom model tuning, a dedicated account manager and SLA options. This tier is aimed at enterprise operations with large volumes or a need for closer account support; it costs considerably more than Pro.

Platforms

Lucida runs on the web. Teams can export ranked leads into a CRM, and API access is included with Pro.

Who it's for

Lucida is strongest for a sales team with historical wins and losses, regular incoming prospect files and a need to prioritize outreach by predicted conversion likelihood. Its automatic feature engineering is useful when the team wants model-based scoring without a data science department. The free ranking lets a team assess one run before selecting a plan.

It is a weaker fit for teams without meaningful deal history, those that need a continuing workflow on a free plan, or buyers whose lead-scoring needs do not justify a $$299 monthly starting price. Teams expecting to score more than 10,000 leads per month need Pro or Scale.

Pros and cons

• Pros: The model learns from a team’s own won and lost deals, which ties scoring to its conversion pattern.
• Pros: Messy CSV support and automatic feature detection can reduce preparation and mapping work across several lead sources.
• Pros: A full free ranking, one model and export of up to 100 leads allow an initial evaluation without a credit card.
• Cons: The free plan is limited to one ranking and 100 exported leads, so it does not support a sustained scoring operation.
• Cons: Starter is $299 a month for one workflow and up to 10,000 leads, a meaningful recurring cost for smaller teams.
• Cons: The API is reserved for Pro at $799 a month, so teams that need programmatic access must move beyond the entry paid tier.

Alternatives

Lead Scoring Software is the broader category to consult when comparing lead-scoring products. Consider LeadBoxer for its freemium offering and API and web platforms; its free app plan includes 25,000 credits per month, one user, one dataset and one month of data retention. QuickOn may suit a team seeking a lower-cost entry: its free plan covers 100 leads per month, one lead source, a JS widget, one project and community support, while Starter is $49 a month.

UserMotion is an option for teams focused on account, ICP and intent scoring; its free plan supports up to 1,000 accounts and includes real-time signals and email and chat support. FlashGTM is another freemium alternative with API and web platforms. Leadspace offers a free starter plan with one seat, 25 credits per day and 100 monthly exports, including CSV and CRM exports. Factors.ai may suit teams looking for a paid analytics option with a free trial; its Lite plan is $199 a month after the trial and supports up to 5,000 monthly tracked users, 1,500 identified companies per month and three seats.

Draup is another paid alternative. Demandbase is worth considering for a sales and marketing platform with custom pricing based on a platform fee plus a flat fee per user.

Verdict

Lucida is a good fit for growing sales teams with enough won-and-lost deal history to train a useful predictive model, especially when they want ranked leads and CRM export without building their own data science capability. Its free ranking makes an initial assessment straightforward. Look elsewhere if the team needs ongoing free use, lacks useful deal history or cannot justify at least $299 a month for a continuing workflow.