Ecommerce ops · Production
Nosto Campaign Testing: AI-powered A/B, multivariate, and split testing for ecommerce experiences
The problem
Ecommerce teams risk revenue loss during testing and depend on technical staff to run campaigns, with no systematic way to automatically shift traffic to winning variants.
Workflow diagram · grounded in source
1
Set up campaign test
trigger
“Easily set up, preview, and deploy all your A/B testing, without need for any technical assistance”
2
AI traffic allocation
ai_action
“Have our AI-powered testing technology automatically allocate traffic to your highest-performing campaign variant as soon as it's determined”
3
Automatic winner distribution
output
“automatically delivering winning variants to all your traffic the moment statistical significance is achieved, saving any potential revenue loss”
4
Insights feed future strategy
feedback_loop
“Understand how campaign iterations can influence sales and other KPIs, then use these insights to shape further experiences and refine your full personalization and merchandising strategies”
Reported outcome
Nosto's AI-powered testing automatically distributes winning variants the moment statistical significance is achieved, with anonymous customers reporting an 88% CVR increase, an 18% conversion rate increase from a single test, and a 37% AOV increase.
Reported metrics
CVR increase (homepage personalization)88%
Conversion rate increase (single test)18%
AOV increase37%
Reported stack
NostoHuginn
Source
https://www.nosto.com/commerce-experience-platform/dynamic-targeting/campaign-testing/
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
Nosto's AI-powered testing automatically distributes winning variants the moment statistical significance is achieved, with anonymous customers reporting an 88% CVR increase, an 18% conversion rate increase from a sin…
What tools did this team use?
Nosto, Huginn.
What results were reported?
CVR increase (homepage personalization): 88%; Conversion rate increase (single test): 18%; AOV increase: 37% (source-reported, not independently verified).
How is this ecommerce ops AI workflow structured?
Set up campaign test → AI traffic allocation → Automatic winner distribution → Insights feed future strategy.