Use casesPricing experiments

Find out what people actually pay.

Surveys tell you what people say. Offers tell you what they'd do. Run a Haggin and read the inbox.

Free Trial: one Haggin, 14 days live, no card.

This is what a Haggin looks like.

Example · Acme Pro

List price$100/month

  1. 01

    Lena · Buyer

    Offer

    $80/month80% of list

    Annual commitment

  2. 02

    Acme · Company

    Accepted
    Deal.One data point of forty.

The problem

You can't A/B test willingness to pay.

Two pricing pages, two numbers, one winner, and still no idea where the ceiling is. Surveys are worse: nobody pays with a survey answer.

Every offer in a Haggin is a real number from a real person with a real reason.

The move

Ask them to name it.

Publish a Haggin for the plan you're unsure about and send some traffic to it. Offers come in structured: price, seats, commitment, what else they'd give. Sort by highest. Filter the lowballs out.

In two weeks you have a distribution, not an opinion.

Offers are data.

How to set it up

Three moves. No chat.

  1. 01

    Publish a Haggin for one plan

    The plan you're about to reprice. Set the current price as standard so every offer is measured against it.

  2. 02

    Send a slice of traffic to it

    A pricing-page variant, a newsletter segment, a new market. Enough people to see a shape.

  3. 03

    Read the spread. Adjust the price.

    Accept what you like along the way. Everything else is still a data point.

Where the link goes

One link. Put it where the price hurts.

  • A pricing-page variant for a share of visitors
  • A segment of your newsletter
  • A new market where your price hasn't been tested

Turn price objections into deals.