ClearICP

ClearICP analyzes customer datasets to produce Ideal Customer Profiles, customer segments, and reports for sales and marketing work. Users upload CSV or Excel data, map its columns, and have AI process records individually to build and refine an ICP hypothesis. Segmentation uses a value and potential matrix to help teams prioritize customers. Users can tailor dimensions across firmographic, technographic, behavioral, psychographic, and contextual categories. Outputs can include an ICP summary, qualifiers, disqualifiers, signals, and scoring guidelines, with PDF and CSV export options and direct export to Salesforce or HubSpot. ClearICP serves revenue and marketing leaders, founders, and private equity or consulting teams working on customer analysis. The maker says a human reviews each engagement and works with the client team to refine segments, narratives, and recommendations. Its privacy policy says customer data is not used to train AI models, is encrypted in transit and at rest, and is restricted by row-level authorization. Datasets default to 90-day retention, configurable by workspace policy. The free preview covers 10–15 records and does not include exports; paid analysis uses tiered pricing based on record count.

ClearICP combines dataset analysis, customizable segmentation, export options, and human review. The free preview is limited and lacks exports, while full analysis has tiered pricing and a stated refund restriction.

ClearICP suits revenue and marketing leaders, founders, and private equity or consulting teams defining customer profiles and analyzing segments. It is also relevant to teams that want human review alongside dataset analysis.

ClearICP is a web-based service for turning customer records into an Ideal Customer Profile and segmentation analysis. It is best suited to revenue and marketing leaders, founders, and advisory teams working from an existing customer dataset. Human review adds judgment to the analysis, but the free preview is small and full analysis is tiered by record volume.

Overview

Upload a CSV or Excel file, map its columns, and ClearICP processes customer records individually to develop an ICP hypothesis. Results can include a profile summary, qualifiers, disqualifiers, signals, scoring guidelines, and segments. That breadth makes the service useful for teams that need to turn customer analysis into targeting criteria, not just a written profile; it also means the value hinges on having relevant, usable records to analyze.

Segmentation organizes customers through a value-and-potential matrix, giving sales and marketing teams a framework for prioritization. Taxonomy dimensions can span firmographic, technographic, behavioral, psychographic, and contextual categories. This flexibility can support a more tailored view of customers, though teams should not expect meaningful analysis without data that supports the dimensions they choose.

Key features

• AI-assisted row analysis: ClearICP evaluates records individually to build and refine an ICP hypothesis. This is a fit for teams seeking analysis grounded in their customer base rather than a generic template.
• Custom dimensions and segmentation: Users can shape taxonomy across several categories, while the value-and-potential matrix helps translate findings into sales and marketing priorities.
• Actionable outputs: The analysis can produce qualifiers, disqualifiers, signals, and scoring guidelines, with PDF and CSV export formats. Direct export to Salesforce and HubSpot can help move results into existing workflows.
• Human review: ClearICP says people review every engagement and refine segments, narratives, and recommendations with the client team. That involvement is valuable when teams want collaborative interpretation, but it makes the offering less like a self-serve analysis tool.
• Data handling: Customer data is not used to train AI models and is processed to deliver the requested analysis. Data is encrypted in transit and at rest, and row-level authorization limits users to their own data. Datasets default to 90-day retention; workspace policy can change that, and users can request deletion through the service or by contacting ClearICP.

Pricing

Free Preview: free. It covers 10–15 customer records and does not include exports. This is enough for a limited preview, but the record cap and missing export options make it a poor substitute for a complete analysis or an ongoing workflow.

Paid Analysis: custom pricing, tiered according to the number of customer records processed. It includes full analysis. Teams should match the scope to their dataset and confirm the price before proceeding; the record-based structure means larger analyses may carry a different cost.

There is no free trial. Completed analyses successfully delivered are not refundable; eligible refund requests must be submitted within seven days of analysis completion. That restriction matters because teams should settle on scope and expectations before commissioning paid work.

Platforms

ClearICP is available on the web. It accepts CSV and Excel uploads and supports direct export to Salesforce and HubSpot; the product is not presented as a mobile app.

Who it's for

ClearICP is a good fit for revenue and marketing leaders, founders, and private equity or consulting teams that need to define or refine an ICP using customer records. Its combination of customizable analysis and human review suits teams that value collaborative recommendations. It is less compelling for buyers seeking a low-cost, fully self-serve tool, or for those without an existing dataset to analyze.

Pros and cons

• Pros: Individual record analysis and flexible dimensions can ground ICP work in a team's own customers.
• Pros: Human review adds client-team refinement to segments and recommendations.
• Pros: PDF and CSV formats plus Salesforce and HubSpot export support make results easier to carry into sales and marketing work.
• Pros: No AI training use, encryption, row-level authorization, configurable retention, and deletion requests address important data-handling concerns.
• Cons: The free preview is limited to 10–15 records and has no exports, so it cannot validate the full workflow.
• Cons: Full analysis is custom-priced by dataset size, making cost harder to assess before scoping the work.
• Cons: Successfully delivered analyses are nonrefundable, with eligible requests due within seven days of completion.

Alternatives

Ideal Customer Profile Software is a useful starting point for comparing more options in the category.

• Goava is worth considering for teams that want a freemium option with a free trial and Android or iOS access as well as web. Its Discover plans are organized around Nordic-market coverage and monthly AI credits.
• Dealfront may suit buyers who prefer a paid platform with a free plan and trial, browser extension access, and published seat and annual credit allowances. Its Basic plan starts at €2,388 a year, billed annually, and includes 3 seats and 2,500 credits annually.
• Delve AI is an option for teams seeking a freemium web and API product, with a free tier for one audience persona and one website persona based on at least three days of historical data, plus 50 Digital Twin chat credits.
• Gradient Works is a freemium web and API alternative whose free plan includes 1,000 credits, five rep users, one Carve scenario, Market Map, basic Bookbuilder, and analytics.
• ICPExplorer may appeal to teams wanting a self-hosted freemium tool; its free Starter plan includes 25 enrichments, one ICP, and CSV export.
• Mastiff Software Sales Productivity Analytics Platform is another freemium web option, with a free version centered on employee-size segments and quarterly bookings by employee-size segment.
• Telepath offers a free one-time ICP analysis report with no signup required, making it a simpler alternative for someone seeking a single report.
• Trailspark is a freemium web and API alternative with a free allowance of 25 accounts evaluated per month and 5,000 signals per month.

Verdict

Choose ClearICP if your team has customer records to analyze and wants customized ICP and segmentation work shaped by human review. Its strongest reason to buy is the combination of record-level analysis, flexible dimensions, and collaborative refinement; the strongest reason to look elsewhere is the limited, export-free preview alongside custom-priced paid work and a strict refund restriction. For teams seeking inexpensive self-serve exploration, a free alternative may be the better starting point.