Tools

Every app promises a lift. You can't tell which ones deliver.

Reviews, live chat, trust badges, discount checks, upsell pop-ups: each one arrived with a case study and a monthly bill. Benson loads every app only where it pays, and measures what it adds on your own shoppers.

14 days of everything in Own. No card. Then Free, unless you pick a plan.

The headline number

3×

how far lift estimates made without a holdout were off, in half of 15 large Facebook ad experiments.

Kellogg and Facebook (Gordon et al.), Apr 2018(opens the source)
The story

How an app stack grows.

  1. 1

    It starts with a case study.

    A reviews app shows a lift in conversion. A chat widget shows bigger baskets. Each pitch was measured on someone else's store, and each one sounds worth a monthly fee.

  2. 2

    The stack grows, one app at a time.

    Shopify counts six apps on the average merchant's store. Every paid one renews each month, whether it earned its fee or not.

    Shopify Partners, Feb 2022(opens the source)
  3. 3

    Every app weighs on every page.

    Its scripts load for every shopper on every page, whether or not the app helps there. And on mobile, faster pages have gone with more retail conversions.

    Deloitte (commissioned by Google), Mar 2020(opens the source)
  4. 4

    At renewal, you guess.

    The vendor's report says it's working. Reports like that often credit the app with every shopper who used it, and the shoppers who click are the ones most likely to buy anyway.

    NBER (Blake, Nosko and Tadelis), May 2014(opens the source)

What most teams try

  • You could take the vendor's word for it. Their report often counts the shoppers who used the app, not the sales it added.
  • You could switch an app off for a month. Promotions, seasons and ad spend change in the same month, so the difference isn't only the app's.

Or you could run every app through Benson.

Load each one only where it pays, hold it back from a random share of shoppers, and get one answer at a planned end, from your own orders.

Sound familiar?

Three ways your app stack costs you.

  1. The problem

    Every app loads everywhere.

    The theme tag fires on every page, for every shopper, even where the app does nothing for the sale.

    The fix

    Run it only where it pays.

    Paste the vendor's code into Benson and choose who gets it: paid traffic from Google, Meta, Microsoft or TikTok, affiliate clicks from Awin, Impact, CJ or ShareASale, a country, product pages, the evening.

  2. The problem

    The vendor marks its own homework.

    Their case study comes from other stores, and often compares shoppers who chose the widget with shoppers who didn't.

    The fix

    Hold it back, and check the claim.

    A random share of shoppers goes without the app for a fixed length. At the planned end, Benson gives one verdict, checks the vendor's claim and puts a monthly figure on it.

  3. The problem

    Renewal day, and nothing to show.

    The invoice lands, and nobody can say which orders the app was part of.

    The fix

    Your orders record the apps that were on.

    In your Benson orders, on the Shopify order as a cart attribute, and in the dataLayer for your analytics. When the renewal lands, you have the orders.

How it works

Moving an app takes three steps.

Any app installed with a script tag, from any vendor. Benson loads only what you give it and never touches anything else on your store.
  1. 1

    Copy the install code

    From the vendor's install instructions, or your page source: the whole snippet, as they give it.

  2. 2

    Paste it into Benson

    Benson lists the domains and scripts it will load, and anything that stays in your theme.

  3. 3

    Take it out of your theme

    Switch the app on in Benson, then remove the theme's copy. Benson tells you if one is still loading.

Prove it

Peeking picks false winners. Benson decides once.

A random share of shoppers goes without the app for a fixed length. Both groups shop through the same weeks, so the difference comes down to the app.

Know what your traffic can prove

Before you hold anyone back, the planner shows the smallest change each option can see on your store's last 28 days, so you never run a test that can't answer.

  • Decided once, no peeking

    Check after every visitor and stop at the first good result, and a change that does nothing can win 26.1% of the time instead of 5%. Benson fixes the length up front.

    Source: Evan Miller, Apr 2010 (opens the source)
  • The vendor's claim, checked

    Add the lift the vendor quotes. Benson compares everyone it loaded the app for with everyone it held it back from, and tells you whether the claim holds up.

  • A breakage alarm

    While a measurement runs, Benson watches for revenue per visitor falling with the app on, and emails you if it does.

  • Where it helps

    Results split by traffic, device and time of day point to where an app earns its keep, one click from a new rule.

Questions

The planner shows what your traffic can prove before you hold anyone back, so you never run a test that can't answer. Hold back more shoppers, or for longer, and it sees smaller changes.

Pricing

Load apps on every plan. Measure them from Stop.

Every plan, including Free

Load apps by rules

Up to 10 apps per store, each loading only where your rules say.

Stop and above, from £49 a month

Measure what they add

Holdouts with a verdict, the vendor's claim checked and a money figure. Up to 5 at once.

Sources

Industry research, checked on 11 October 2026. None of it is Benson data.

  1. 1Kellogg and Facebook (Gordon et al.), “A comparison of approaches to advertising measurement: evidence from big field experiments at Facebook”, Apr 2018. kellogg.northwestern.edu (opens the source)
  2. 2Shopify Partners, “How we're helping developers help merchants in 2022”, Feb 2022. shopify.com (opens the source)
  3. 3HTTP Archive Web Almanac, “Third Parties (2025 edition)”, Jan 2026. almanac.httparchive.org (opens the source)
  4. 4Deloitte (commissioned by Google), “Milliseconds Make Millions”, Mar 2020. deloitte.com (opens the source)
  5. 5NBER (Blake, Nosko and Tadelis), “Consumer heterogeneity and paid search effectiveness: a large scale field experiment”, May 2014. nber.org (opens the source)
  6. 6Evan Miller, “How not to run an A/B test”, Apr 2010. evanmiller.org (opens the source)

Prove what your apps add. 14 days of Own, no card.