For Product Teams

Screen Product Concepts
in Minutes, Not Months

85% of new CPG products fail within 12 months. Most never get consumer feedback before launch. will.it.sell gives product teams peer-reviewed purchase intent data in under 5 minutes.

The Product Validation Gap

Enterprise concept testing platforms like Zappi and quantilope cost $50,000+/year. Traditional focus groups run $7,000-$20,000 per session and take weeks. PMs are expected to validate with data - but the tools are priced for Fortune 500 budgets.

Meanwhile, 85% of new CPG products fail within 12 months (Nielsen). The products that succeed are the ones that got consumer feedback before launch - not after.

The Old Way vs. The New Way

Same quality of insight. Fraction of the cost and time.

Method
Cost
Time to Results
Sample Size
Focus Groups
$7,000 - $20,000
3 - 4 weeks
8 - 12 people
Enterprise Platforms
$50,000+/yr
1 - 2 weeks
Varies
will.it.sell
From $0
Under 5 minutes
100 - 3,000

Built for How Product Teams Work

Three capabilities that fit into your sprint cycle, not around it.

Screen Before You Commit

Test product concepts with synthetic consumers before investing in expensive focus groups or survey panels. Kill weak ideas early, double down on strong ones.

Iterate in a Single Sprint

Reposition, reprice, and retest in minutes. Run three concept variations before lunch and compare purchase intent scores side by side.

Peer-Reviewed Methodology

Not a black box. The FLR methodology achieves 90% correlation with real consumer panels, validated across 57 surveys and 9,300 human responses.

How It Works

From product concept to purchase intent data in three steps.

1

Define the Concept

Enter your product details - features, pricing, positioning, and the problem it solves. Takes about 2 minutes.

2

Build Target Segments

Define the demographics that match your actual customer. Age, income, location, interests - precision matters.

3

Get Purchase Intent Data

Receive scores, distribution charts, and qualitative themes - what consumers like, what concerns them, and how to improve.

Methodology You Can Trust

90%

correlation with real consumer panels

9,300

real human responses in validation study

57

consumer surveys peer-reviewed

< 5 min

from concept to results

See What Your Team Gets

Every report includes a purchase intent score, score distribution, and qualitative feedback. Individual consumer responses available with Growth pack.

4.1/5

Purchase Intent Score

Strong Purchase Intent

Score Distribution

70% scored 4 or 5

3 positives identified
4 concerns flagged
3 suggestions offered

Qualitative Feedback

Full feedback with Starter pack

"Built on peer-reviewed research validated against 9,300 real human responses across 57 consumer surveys. The Faceted Likert Rating methodology achieves 90% of human test-retest reliability for purchase intent measurement - without requiring training data or panel recruitment."

Stop guessing which concepts will win.

Get purchase intent data on your next product concept in under 5 minutes.

Frequently Asked Questions

will.it.sell uses the same peer-reviewed FLR methodology for purchase intent scoring, but at per-report pricing instead of $50,000+/year enterprise contracts. You buy credits and use them when you need them - no annual commitment, no sales calls, no minimum spend.
Yes. Test as many concept variations as you want. Each report uses credits (1 credit = 1 synthetic consumer). Run three variations of your product concept and compare purchase intent scores, feedback themes, and concerns side by side.
The methodology achieves 90% of human test-retest reliability, validated across 57 real consumer surveys with 9,300 human responses. It is best used as a screening tool - test many concepts quickly, then invest in deeper research (focus groups, surveys) on the winners.
Any B2C product or service - physical goods, subscriptions, digital products, DTC brands, food and beverage, health and wellness, consumer electronics, fashion, and more. The methodology is validated across all consumer-facing categories. It is not suited for B2B products.

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