Apex by Drip
Drip Trading GmbH · Germany · since 2019
A/B testing platform for companies selling online that predicts which tests will win before they go live, built on one of the largest A/B test databases in e-commerce: 4.3 million A/B tests from 151,000 shops, collected since 2011.
Best for Ecommerce teams that need revenue numbers they can defend in a board meeting
The verdict
Apex keeps its statistics plain and says so: fixed-horizon analysis with confidence, results cut to the main metric, lift and runtime revenue per test, and on Shopify profit per test with discount share, refund share and profit per sale. A/A tests check the setup, a global holdout measures the program as a whole, and Guardian stops a test automatically at a revenue loss threshold. It ranks #1 because selection improves before anything is built: each idea gets a Likelihood to Win, scored against 4.3 million observed A/B tests from 151,000 shops and shown with how many tests back it (a ranking against the shop’s own backlog, not a win probability in the strict sense). In the vendor’s holdout check, the top third of ideas within a shop won 1.4 to 1.6 times as often, and predictions for 33 brands were scored and frozen in early September 2026, with results published from the launch on. The win rate of DRIP’s own tests rose from 27 percent in 2024 (808 tests) to 56 percent between April and June 2026 (278 tests); the industry baseline is 10 to 20 percent, per Ronny Kohavi. Pricing is not published: a card-free free tier covers one store, and everything else starts with a call.
Rating by Drip Trading GmbH, the company behind Apex by Drip. How we rate and weight
Strengths
- Apex scores each idea against 4.3 million observed A/B tests from 151,000 shops and shows how many tests back each score. The nearest published figure in this comparison is Kameleoon’s Ideate, trained on more than 20,000 experiments; Varify cites 10,000 or more test patterns; no other vendor in this comparison publishes a count of tests behind its recommendations (vendor pages checked October 2026).
- Prediction-Based Experimentation: every test idea gets a Likelihood to Win before launch, one percent figure shown with how many tests back it (it ranks the idea against the shop’s own backlog, not a win probability in the strict sense). In the vendor’s holdout check, the top third of ideas within a shop won 1.4 to 1.6 times as often.
- Tests pages and page elements, runs parallel tests on the same traffic with optional exclusion groups, and supports A/A tests, redirect tests, a global holdout, feature flags and staged rollouts.
- Results built for shops: main metric, lift and runtime revenue per test, profit per test on Shopify (discount share, refund share, profit per sale), heat maps and behaviour per variant, and Guardian, which stops a test automatically at a revenue loss threshold.
- Builds the way the team works: experiment config as code, a code editor, a visual builder, CLI preview links and QA via preview. Through the MCP connection a shop owner builds and reads tests from ChatGPT or Claude, the Apex chat answers what to test next and why a test won, and the DRIP team can build, check, launch and read tests as managed execution.
Weaknesses
- Pricing is not published, so anyone who needs a price list before a conversation has to book a call; a card-free free tier covers one store.
- A team that already picks winning tests well gets less from the prediction layer.
- A shop that cannot ship a test a week yet should build that habit on a lighter tool first; buying prediction before you can execute is the wrong order.
The facts
| Statistics | Fixed-horizon analysis with confidence. Results show the main metric, lift and runtime revenue per test, and on Shopify also profit per test (discount share, refund share, profit per sale). A/A tests and a global holdout are available, and Guardian stops a test automatically at a revenue loss threshold. Before launch, each test idea gets a Likelihood to Win, scored against 4.3 million observed A/B tests and shown with how many tests back it (a ranking against the shop’s own backlog, not a win probability in the strict sense). The win rate of DRIP’s own tests rose from 27 percent in 2024 (808 tests) to 56 percent between April and June 2026 (278 tests). |
| Shopify | Installs as a Shopify app via a link, in two clicks, with server-side tracking and first-party data. On Shopify, results also show profit per test: discount share, refund share and profit per sale. |
| Privacy & hosting | German vendor with European infrastructure: London (Vercel, Tinybird analytics) and Ireland (Supabase), Cloudflare edge delivery. First-party random visitor IDs in cookie and localStorage (365 days), no fingerprinting, visitor IPs never stored; integrations for 8 consent managers; DPA with subprocessor annex. ISO 27001 and SOC 2 are in progress, with no certificate yet. |
| Pricing | Pricing is not published. A card-free free tier covers one store; for more, book a call. |
Sources
- Database, holdout and win-rate figures (vendor-stated, press release 2026-09-29): https://dripagency.de/apex (accessed 2026-09-01)
- Feature set, platform surface, hosting (vendor statement, verified against the product 2026-09-01): https://dripagency.de/apex (accessed 2026-09-01)