Experimentation / CRO

Experimentation and Testing Programs acknowledge that the future is uncertain. These programs focus on getting better data to product and marketing teams to make better decisions.

Research & Strategy

We believe that research is an integral part of experimentation. Our research projects aim to identify optimization opportunities by uncovering what really matters to your website users and customers.

Data and Analytics

90% of the analytics setups we’ve seen are critically flawed. Our data analytics audit services give you the confidence to make better decisions with data you can trust.

Personalization opportunity

A member still gets the generic homepage.

Put reorder and their benefits first. The brochure can wait.

Effort
Retention
E-commerce, Media & subscriptions

Step 1 · Signals

What do we know about this person?

Connected

Loyalty tier, last order, saved items, subscription status.

Example eligibility rule

Show the member home to authenticated customers with an active loyalty tier, paid membership, or current subscription. Confirm that benefits and status are current before rendering them. Delinquent, expired, or disputed memberships receive the standard account path plus a status explanation.

Step 2 · The need

What’s really going on?

Loyalty, subscription, or repeat buyer. Offers, merchandising, and the first screen ignore the membership they already paid for. They have to hunt for reorder, early access, or the thing they always buy.

Avoid this assumption

A "welcome back, FirstName" bar is not a member experience. Putting their reorder and their tier benefits first is.

Step 3 · Worth it?

Do the math before you build.

Serving a known member the stranger experience wastes information that could make the return visit easier. The identity and membership relationship are already established.

Reach

How many eligible people can you reach in the chosen channel and time period?

Cost

What will content, delivery, QA and ongoing maintenance cost?

Return

What incremental outcome would cover that cost, and what is it worth?

Planning inputs, not measured results. Estimate reach × incremental outcome rate × value per outcome, then subtract cost. Use a range and a consistent time period.

Step 4 · The response

Pick how you help.

Example format: Experience

Swap the first module: their usual, their tier, a start-fresh.

Compare lighter and deeper responses

Choose the lightest response that solves the need.

Assist: Offer useful help

Keep the default. A member chip that jumps to reorder and benefits.

Adapt: Change a meaningful part

Swap the first module: their usual, their tier, a start-fresh.

Transform: Tailor the journey

A member home: reorder, benefits, new-for-you. Catalog still one tap away.

What to watch out for

  • Hiding the catalog behind membership modules.
  • Showing a tier they no longer have.
  • A first-name greeting with generic merchandising underneath.

Step 5 · The moment

Did it help? A/B test it.

Control

Same homepage as anonymous traffic.

Treatment

Member-first first screen, with a holdout.

Success measure

Repeat purchase or benefit-use from home.

Guardrail

New-product discovery. Don't lock them to last year's basket.

Win or lose, record what worked, for whom and why. What you learn becomes the next signal.

Tools that can deliver the response

  • Klaviyo Behavior-triggered email and SMS with real-time customer profiles and segments, built for ecommerce.
  • Nosto AI commerce platform combining personalized search, recommendations, merchandising, and content/A-B testing under one data layer.
  • Insider One Cross-channel engagement platform (web, app, messaging) that builds a unified profile from attributes, real-time behavior, and precomputed predictive scores to drive personalization and campaign targeting.
  • Bloomreach Ecommerce Search AI-driven ecommerce search and discovery platform (Loomi AI) that personalizes ranking, recommendations, and merchandising from first-party shopper data.

Try the framework on another situation

You know they'll need it again. You still make them hunt. Remind them when they're actually due.

You have their history. Next time still starts from scratch. Ask to save one useful default, when it would actually help.

A regular is looking for something new. You send them last year's path. Ask: same as last time, or this?

Work through it in the hub

Score your personalization program, explore more customer situations, and compare the tools that can deliver them.