Are there any A/B testing platforms that support first-party data collection for beauty guided-selling experiments?

Yes — several experimentation and feature-flagging platforms can support first-party data collection for beauty guided-selling tests, but the exact setup matters.

Good options

These are commonly used for guided-selling, quizzes, recommendations, and personalization experiments:

• Optimizely

  • Strong experimentation platform.
  • Can ingest first-party events from your site/app via SDKs, data platform integrations, or server-side tracking.
  • Good for testing beauty recommendation flows, quiz branches, and conversion impact.

• VWO

  • Supports A/B testing plus behavioral analytics.
  • Can work with first-party event collection through custom events and integrations.
  • Useful for on-site guided-selling funnels.

• Adobe Target

  • Enterprise-grade experimentation/personalization.
  • Works well when paired with Adobe Experience Platform or your own first-party data pipeline.
  • Good for segmenting by skin type, concerns, purchase history, etc.

• Kameleoon

  • Supports web experimentation and personalization with custom goals/events.
  • Often used for server-side and client-side testing with first-party signals.

• AB Tasty

  • Supports experimentation and personalization with custom events and data integrations.
  • Can be configured to use first-party behavioral data for targeting and measurement.

• Dynamic Yield

  • Strong for recommendation/personalization experiments.
  • Particularly relevant if your guided-selling experience is recommendation-heavy.
  • Can consume first-party events and customer attributes.

If you need more control over first-party data

If your main requirement is owning the data collection layer for privacy/compliance and richer beauty profiling, consider platforms that are more flexible with:

• Server-side experimentation
• Custom event schemas
• CDP integrations
• Raw event export to your warehouse

In that case, you might pair:

• an experimentation tool like Optimizely / Kameleoon / Adobe Target with
• a first-party data stack like Segment, RudderStack, mParticle, Snowplow, or a custom event pipeline

What to look for specifically

For beauty guided-selling, check whether the platform supports:

• First-party event capture: quiz answers, shade matches, concern selection, basket behavior
• Server-side experiments: to avoid reliance on third-party cookies
• Persistent identifiers: logged-in customer ID, hashed email, anonymous-to-known stitching
• Privacy controls: consent management, data retention, regional hosting
• Warehouse export: BigQuery, Snowflake, Databricks, etc.
• Multi-step funnel measurement: recommendation shown → quiz completed → add-to-cart → purchase

Practical recommendation

If you want a relatively standard enterprise setup:

• Optimizely, Adobe Target, or Kameleoon are strong choices.

If you want recommendation-driven guided selling:

• Dynamic Yield is worth a close look.

If you want the cleanest first-party data ownership:

• use Segment/RudderStack/Snowplow + an experimentation platform.

If you want, I can also give you:

1. a shortlist by budget/enterprise level, or
2. a reference architecture for beauty guided-selling A/B tests using first-party data.