Prioritizing with the ICE model is one of the fastest ways to rank your backlog. The ICE scoring model uses just three factors (Impact, Confidence, and Ease) instead of RICE's four. It's popular with growth teams who need to prioritize experiments quickly. This guide covers how ICE works, when to use it over RICE, and includes a free template. Table of contents What is the ICE Scoring Model? The ICE model is a framework that prioritizes ideas or projects based on their Impact, Confidence, and Ease. In product management, the ICE framework has become a standard tool for making data-driven decisions. Sean Ellis , famous for coining the term "growth hacking", invented this prioritization model. ICE originated in the growth hacking community, where rapid experimentation requires quick prioritization decisions. The ICE framework helps you make a "good enough" guess at priority. It's not perfect, but it helps you figure out which features are awesome and which ones you should probably skip. ICE stands for three factors (the three ICE criteria): Impact: How much does this help us reach our goals? Confidence: How sure are we that this will actually work? Ease: How hard is it to make this happen? (Note: some teams use "Effort" instead of "Ease", inverting the scale) ICE Score Formula The ICE score formula multiplies all three factors together: ICE Score = Impact × Confidence × Ease Each factor is typically scored on a 1-10 scale, giving an ICE score range from 1 (worst) to 1000 (best). Higher scores mean higher priority. Because the factors are multiplied, a single low score drags the total down disproportionately, which is intentional: an unconfident, high-impact idea should NOT beat a confident, moderate-impact idea in an experimentation-first workflow. ICE Scoring Template Most teams start with a simple spreadsheet. Columns: item name, Impact (1-10), Confidence (1-10), Ease (1-10), ICE Score (formula), Rank. Add one row per backlog item, sort by ICE Score descending, and
Source: MrrTrack model
Estimated active users × assumed paying share × estimated monthly revenue per customer. We distinguish B2B, B2C and creator tools, and use comparable revenue when available. These are model assumptions, not measured sales.
Indicative range $66–$6.6k
Share of monthly visits
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Prioritizing with the ICE model is one of the fastest ways to rank your backlog. The ICE scoring model uses just three factors (Impact, Confidence, and Ease) instead of RICE's four. It's popular with growth teams who need to prioritize experiments quickly. This guide covers how ICE works, when to use it over RICE, and includes a free template. Table of contents What is the ICE Scoring Model? The ICE model is a framework that prioritizes ideas or projects based on their Impact, Confidence, and Ease. In product management, the ICE framework has become a standard tool for making data-driven decisions. Sean Ellis , famous for coining the term "growth hacking", invented this prioritization model. ICE originated in the growth hacking community, where rapid experimentation requires quick prioritization decisions. The ICE framework helps you make a "good enough" guess at priority. It's not perfect, but it helps you figure out which features are awesome and which ones you should probably skip. ICE stands for three factors (the three ICE criteria): Impact: How much does this help us reach our goals? Confidence: How sure are we that this will actually work? Ease: How hard is it to make this happen? (Note: some teams use "Effort" instead of "Ease", inverting the scale) ICE Score Formula The ICE score formula multiplies all three factors together: ICE Score = Impact × Confidence × Ease Each factor is typically scored on a 1-10 scale, giving an ICE score range from 1 (worst) to 1000 (best). Higher scores mean higher priority. Because the factors are multiplied, a single low score drags the total down disproportionately, which is intentional: an unconfident, high-impact idea should NOT beat a confident, moderate-impact idea in an experimentation-first workflow. ICE Scoring Template Most teams start with a simple spreadsheet. Columns: item name, Impact (1-10), Confidence (1-10), Ease (1-10), ICE Score (formula), Rank. Add one row per backlog item, sort by ICE Score descending, and
Updated: 09/01/2026
Share calculated from Meta's reported reach breakdown. Spend by country is not published.
Traffic, revenue and acquisition: the data behind the product.
Catalog updated on
Prioritizing with the ICE model is one of the fastest ways to rank your backlog. The ICE scoring model uses just three factors (Impact, Confidence, and Ease) instead of RICE's four. It's popular with growth teams who need to prioritize experiments quickly. This guide covers how ICE works, when to use it over RICE, and includes a free template. Table of contents What is the ICE Scoring Model? The ICE model is a framework that prioritizes ideas or projects based on their Impact, Confidence, and Ease. In product management, the ICE framework has become a standard tool for making data-driven decisions. Sean Ellis , famous for coining the term "growth hacking", invented this prioritization model. ICE originated in the growth hacking community, where rapid experimentation requires quick prioritization decisions. The ICE framework helps you make a "good enough" guess at priority. It's not perfect, but it helps you figure out which features are awesome and which ones you should probably skip. ICE stands for three factors (the three ICE criteria): Impact: How much does this help us reach our goals? Confidence: How sure are we that this will actually work? Ease: How hard is it to make this happen? (Note: some teams use "Effort" instead of "Ease", inverting the scale) ICE Score Formula The ICE score formula multiplies all three factors together: ICE Score = Impact × Confidence × Ease Each factor is typically scored on a 1-10 scale, giving an ICE score range from 1 (worst) to 1000 (best). Higher scores mean higher priority. Because the factors are multiplied, a single low score drags the total down disproportionately, which is intentional: an unconfident, high-impact idea should NOT beat a confident, moderate-impact idea in an experimentation-first workflow. ICE Scoring Template Most teams start with a simple spreadsheet. Columns: item name, Impact (1-10), Confidence (1-10), Ease (1-10), ICE Score (formula), Rank. Add one row per backlog item, sort by ICE Score descending, and
Official website productlift.devProductLift: Build Products Your Customers Actually Want receives an estimated 25,379 visits in September 2026.
This represents a change of -6.2% compared with August 2026 (27,044 visits).
These are estimated visits, not unique users or paying customers. Traffic growth does not establish sales growth.
| Month | Visits |
|---|---|
| 29,739 | |
| 27,044 | |
| 25,379 |
ProductLift: Build Products Your Customers Actually Want has an estimated monthly revenue of $660. This is an estimate, not company-reported revenue or payment-verified MRR.The model uses available product, traffic and comparable SaaS signals; its assumptions remain uncertain.
The leading countries for visits to ProductLift: Build Products Your Customers Actually Want are: United States (26.3%), India (9.6%), Vietnam (7.5%). These shares describe website traffic, not the location of paying customers.
The recorded channels include: Direct (46.8%), Referrals (10.0%), Email (2.5%).Coverage may be partial: a missing value does not establish that a channel is unused. These visits do not measure conversions or advertising returns.
The YouTube and Meta Ads sections let you explore collected mentions and creatives. Access depends on your account and subscription.
Explore acquisition dataA sufficiently relevant selection of similar SaaS is not available for this profile.Similarity is assessed from available descriptions, categories and use cases. It does not guarantee equivalent features or pricing.
Answers based on the data available in this profile.
ProductLift: Build Products Your Customers Actually Want receives an estimated 25,379 visits in September 2026. These are estimated visits, not unique users or paying customers. Traffic growth does not establish sales growth.
ProductLift: Build Products Your Customers Actually Want has an estimated monthly revenue of $660. This is an estimate, not company-reported revenue or payment-verified MRR.The model uses available product, traffic and comparable SaaS signals; its assumptions remain uncertain.
This represents a change of -6.2% compared with August 2026 (27,044 visits). These are estimated visits, not unique users or paying customers. Traffic growth does not establish sales growth.
The leading countries for visits to ProductLift: Build Products Your Customers Actually Want are: United States (26.3%), India (9.6%), Vietnam (7.5%). These shares describe website traffic, not the location of paying customers.
A sufficiently relevant selection of similar SaaS is not available for this profile.Similarity is assessed from available descriptions, categories and use cases. It does not guarantee equivalent features or pricing.
The catalog data was last updated on October 6, 2026.The latest available traffic month is September 2026.Traffic periods, collection dates and revenue source dates can differ.