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Should you test prices or discounts first?

Both change what a shopper pays, and both are judged on profit, not orders. But a discount test asks how much to give away and in what form, while a price test asks what your product is worth. For most stores one of them is the better place to start.

Benchmyrk teamPublished 6 min read

The short answer

  • If you already run promotions, start with the discount. You're giving it away anyway, the question comes up every month, and a test is easy to reverse. The usual finding worth having is that a smaller or differently shaped offer earns more per visitor.
  • If you rarely discount and suspect your price is off, start with the price. A price is permanent and touches every order, so getting it right is worth more, but the test needs more care and usually more visitors.
  • Either way, decide on profit per visitor. Orders and conversion rate will usually favour the cheaper option.

Two different questions

What a discount test and a price test tell you
Discount testPrice test
QuestionHow much to give away, in what form, and for which basketsWhat shoppers will pay for this product
What changesAn offer at checkout: percent off, amount off, spend tiers, buy X get YThe price on the product page, the collection page and at checkout
Who sees itEvery visitor in the group, often store-wideVisitors to the tested products
How long the answer lastsUntil the next promotionUntil your costs or competitors change
Reversing itEnd the offerChange the price back, after shoppers have seen it
RiskTraining shoppers to wait for a codeShoppers noticing different prices; ads showing a different price

The break-even maths

Before you test either, work out what the test has to show. Pricing textbooks call this the break-even sales change: how many more (or how many fewer) units keep gross profit where it is. It depends only on the size of the change and your contribution margin.

discount d: extra units needed = d / (m − d)        price increase p: units you can lose = p / (m + p)
m: gross margin as a share of the current price (price minus product cost, divided by price). d and p as shares of the current price.
A $40.00 product with a $16.00 product cost (60% margin)Example
Profit per unit today
$24.00
20% off: price and profit per unit
$32.00, $16.00
Units needed to keep the same profit
+50%
10% higher: price and profit per unit
$44.00, $28.00
Units you can lose and still earn the same
−14.3%

Illustrative numbers. Product cost only; payment fees and shipping lower the margin a little further.

Extra units a discount needs to break even, by gross margin
Discount40% margin50% margin60% margin70% margin
10%+33%+25%+20%+17%
20%+100%+67%+50%+40%
30%+300%+150%+100%+75%
Example, plain arithmetic: d / (m − d).
Units a price increase can lose before profit falls, by gross margin
Increase40% margin50% margin60% margin70% margin
5%−11%−9%−8%−7%
10%−20%−17%−14%−13%
15%−27%−23%−20%−18%
Example, plain arithmetic: p / (m + p).

The asymmetry is the point. A 20% discount at a 50% margin needs two-thirds more units just to stand still; a 10% price increase at the same margin can lose a sixth of its units and still earn as much. That doesn't mean prices should go up. It means a discount has to work much harder than it looks, and a price increase has more room than it feels like it has. Only a test on your store says which way your shoppers go: how strongly they react is the price elasticity you're measuring.

What each is like to run on Shopify

  • Discounts are native. Shopify has percent, amount, buy X get Y and free shipping discounts, automatic or by code. To test them, each group of shoppers needs its own offer at checkout and a banner that says exactly what checkout gives.
  • Discounts don't combine unless you set them to. On Shopify each discount lists which classes (product, order, shipping) it combines with, shoppers can use at most five product or order codes and one shipping code on an order, and a store can have at most 25 automatic discounts active. Decide how a test offer meets your codes, loyalty perks and email offers before it starts.
  • Prices need the page and checkout to agree. The tested price has to show on product and collection pages and be charged at checkout, for the same shopper, every time. Benchmyrk does it with a Shopify discount at checkout, which works on every plan; that's why its tested prices are at or below the store price (see price testing on Shopify without Plus for the other ways and their limits).
  • Prices reach places discounts don't. Your Google Shopping feed, marketplaces and price comparison sites carry the store price. Google Merchant Center asks for the price in your product data to match the landing page and checkout, so test prices away from products you advertise heavily, or keep the test short.
  • Price tests need more visitors per product. A price test only reaches shoppers who view the tested products, while a store-wide offer reaches everyone. Check the sample size for the traffic those products actually get.

Fairness and the rules

Shoppers accept that discounts vary: different codes in different emails is normal. Different prices for the same product feel different, so keep price tests short, the differences modest, and be ready to honour the lower price if a shopper asks.

If you sell in the EU, two rules from Directive (EU) 2019/2161 are worth knowing. An announced price reduction must show the lowest price you applied in at least the previous 30 days. And traders must tell consumers when a price has been personalised on the basis of automated decision-making. Whether a randomised price test counts as personalised pricing is a legal question; ask whoever advises you on consumer law before testing prices for EU shoppers.

A sequence that works for most stores

  1. Format at equal cost. 15% off against $15 off on a $100 average basket, or a flat discount against spend tiers that cost about the same. Cheap to run, and the answer applies to every promotion after it.
  2. Depth. Your usual discount against a smaller one. Work out the break-even first; if the smaller offer earns the same profit per visitor, keep it and bank the margin.
  3. Threshold. Offers and free shipping from a minimum order grow baskets as well as orders; the free shipping threshold calculator gives the break-even.
  4. Price. Once you know how shoppers respond to offers, test the price of a few high-traffic products, in a normal month, away from sales.

Planning around a big sale? The Black Friday guide covers which of these to run before the peak and which to leave until January.

Sources

  1. Nagle and Müller, The Strategy and Tactics of Pricing, 6th edition, Routledge (break-even sales change)
  2. Shopify Help Center, Combining discounts
  3. Google Merchant Center Help, Price [price]
  4. Directive (EU) 2019/2161 (better enforcement and modernisation of EU consumer protection rules)

See it on your store.

We'll walk through results and setup on demo data and answer your questions. Or start the 14-day free trial on Shopify.