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Price anchoring: Does the comparison help buyers choose?

A premium plan can change how buyers judge a standard offer. A worked software test shows how to check the comparison, the purchase and what each account earns.

A buying group discusses a pair of ivory connector blocks around a sculptural meeting table.

Put a premium plan beside the standard offer when it gives buyers a useful comparison and improves the business outcome. Make both plans genuinely available, explain the differences and test whether buyers understand what they would pay. Then measure paid choices and contribution across everyone assigned to the pricing page.

The commercial question is what the whole menu earns. A standard plan can look more affordable beside a premium plan while losing some purchases to that plan. Another buyer may discover a useful feature and pay more. Your experiment needs to capture both movements and the people who leave without purchasing.

What the original evidence gives you reason to test

Price anchoring describes how a reference value can influence a price judgment. Tversky and Kahneman's original work described adjustment from an anchor as a heuristic people use in numerical judgments under uncertainty. Later consumer research examined anchors in buying environments. Source: Tversky and Kahneman, 1974.

Nunes and Boatwright studied incidental prices, including prices for unrelated products that people encountered while considering another purchase. Their research showed that those prices could affect willingness to pay for the focal product. That makes the comparison environment a reasonable thing to investigate. A premium software plan also contains features and capacity that buyers may value, so your page test needs to account for the offer as well as its displayed price. Source: Nunes and Boatwright, 2004.

Write the two offers before designing the page

Suppose a scheduling-software team serves decision makers at businesses with two to five employees. It currently sells a Standard plan and wants to add Premium beside it. The offers, costs and experiment counts below are illustrative.

Plan

Complete monthly offer

Standard

$30 per team per month, billed monthly. Includes five seats, one workspace and the core scheduling tools.

Premium

$60 per team per month, billed monthly. Includes twenty seats, three workspaces, approval roles and the core scheduling tools.

Both plans can be purchased and fulfilled at their displayed prices. State the total charge, billing period, included seats and renewal terms beside the comparison. A buyer should be able to tell that Standard costs the team $30 in total each month. If annual billing is also available, give that choice its own clear total and commitment before comparing results.

The business expects Premium to suit customers who need multiple workspaces or approval roles. Ask those customers about the work the features support. Their answers help distinguish a useful upgrade from a bigger bundle whose extra capacity the target team has little reason to use.

Keep Standard's price, features and terms consistent in both versions. Menu A offers Standard alone. Menu B offers Standard alongside Premium. This comparison estimates the business effect of adding Premium to the menu. If the team later wants to test presentation, compare two presentations of the same complete menu.

Check the bill and the reason to upgrade

Recruit a separate comprehension sample from the same audience and ask people to explain the page in their own words. Use the paid experiment to observe the unprompted purchase journey.

  1. What would your team pay for one month of Standard?
  2. What does that payment include for a five-person team?
  3. Which plan, if either, would suit the work you need to do?
  4. Which specific feature led you to that choice? Tell me about the last time you needed it.
  5. What would you check before committing to the plan?

Record the answer before directing attention to billing or feature labels. A buyer who reads Standard as $30 per person needs a clearer total. A buyer who understands both offers and chooses Premium for approval roles has identified a different product fit. If buyers understand the options and prefer their current tool, use their reasons to investigate the offer or audience.

Sapien can compare how a simulated audience interprets both menus and explore the reasons behind choices. Bring the actual plan limits and billing terms into the comparison so the team can identify confusing language before the paid test. For the broader work of defining a complete priced offer, see our pricing research guide.

Copy this experiment sheet

Field

Worked experiment specification

Decision

Keep Standard alone or sell Standard and Premium together to this audience.

Eligible audience

New account decision makers for teams of two to five people who reach the pricing page through the included acquisition channels.

Assignment

Randomly assign the account before its first pricing-page exposure. Use that account's assigned menu on return visits.

Menus

A shows Standard at $30. B shows Standard at $30 and Premium at $60, with the stated monthly terms.

Purchase window

Count a first paid activation within fourteen days of assignment. Give every assigned account that full window.

Main business outcome

Contribution for the first paid month, divided by all assigned accounts. Allow that paid month to mature before closing its costs and refunds.

Supporting measures

Standard and Premium purchases, billing comprehension, cancellations, refunds and support contacts about plan confusion.

Cost inputs

$8 variable cost per paid Standard account and $20 per paid Premium account in the first paid month. Include other variable serving costs when relevant.

Decision rule

Set the minimum contribution gain, acceptable confusion and refund rates, sample size and ending point before launch.

Standard contributes $30 − $8 = $22 per paid account in this readout. Premium contributes $60 − $20 = $40. The calculation below assumes full first-month receipts and assigns zero first-month contribution to accounts that never activate a paid plan.

Readout among 1,000 assigned accounts per menu

Standard alone → Standard plus Premium

Paid Standard accounts

60 → 55

Paid Premium accounts

0 → 12

Accounts with no paid activation

940 → 933

Total paid activation rate

6.0% → 6.7%

Contribution in the first paid month

$1,320 → $1,690

Contribution per assigned account

$1.32 → $1.69

The larger menu earns 55 × $22 + 12 × $40 = $1,690, compared with 60 × $22 = $1,320 for Standard alone. Its point estimate is $370 higher across the 1,000 accounts, or $0.37 per assigned account. Standard purchases fell, while the premium purchases more than covered that difference at the stated costs.

At this sample size, an approximate 95% interval for the contribution difference per assigned account runs from about −$0.15 to $0.89. A rule requiring evidence of a positive gain would call for more information before committing to the larger menu. Use the planned experiment size and review point to make that decision.

The next month can change the answer too. Check whether Premium customers keep using the features they bought and renew at the displayed price. Carry forward net receipts, support costs and refunds by assigned menu. Then the pricing team can judge whether the comparison helps buyers find a plan they keep and whether that choice earns enough to retain the larger range.

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