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Scent Intelligence for your CRM

Traditional CRMs react to what people buy. WikiParfum helps you understand why they buy — turning olfactive preference data into hyper-personalized communications, deeper emotional connections, and better customer retention. WikiParfum links all preferences and interactions to a stable user identifier. This means the olfactive intelligence built during a website session doesn’t end when the user leaves — it can be reused across channels, sessions, and over time.

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The business impact

  • Higher open rates and click-through — messages that resonate with personal scent preferences outperform generic promotions
  • Better retention — identify patterns to reconnect with customers before they churn
  • Smarter upsell and cross-sell — suggest complementary products based on each customer’s olfactive profile
  • Stronger brand perception — customers feel understood and valued

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What you can build

  • CRM enrichment — append olfactive preferences (favorite families, ingredient affinities) to user profiles
  • Personalized email campaigns — recommend fragrances in newsletters based on each user’s taste profile
  • Lifecycle journeys — trigger re-engagement with new launches that match a user’s olfactive preferences
  • Taste-based segmentation — group users by olfactive profile for targeted marketing
  • Cross-channel consistency — same recommendations on web, mobile, in-store, and email

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How it works

The foundation is the session identity established via initSession (see Sessions & User Identity). 
1. User visits your site → initSession with userId
2. User explores, views perfumes, interacts with ingredients
3. WikiParfum captures these as olfactive preference signals
4. On next visit (or in email/CRM) → same userId retrieves evolved preferences
Because preferences are linked to a stable identifier, taste-based personalization remains relevant even as product assortments evolve.

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CRM integration

WikiParfum enhances your existing CRM — no replacement, no heavy setup, no data migration. The connection is anonymous: WikiParfum never sees or stores your customer data. All personal information stays within your system. Compatible with: Salesforce, Adobe Campaign, Bloomreach, Emarsys, Insider, Klaviyo, HubSpot, and more.

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User-scoped recommendations

Pass userId to any recommendation query to get results influenced by the user’s accumulated interaction history. 
query PersonalizedRecommendations {
  recommendedPerfumes(
    userId: "4ad05833-01e9-412f-b6fd-a02c2ce1f7cd"
    search: { lang: "EN", perfumes: "424" }
  ) {
    id
    name
    brand {
      name
    }
    family {
      name
    }
  }
}
Over time, recommendations become increasingly aligned with each user’s evolving taste profile — without requiring explicit questionnaires or profile setup.

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CRM integration patterns

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Newsletter personalization

Use recommendation data to populate email templates with fragrances tailored to each recipient:
  1. Retrieve the user’s userId from your CRM
  2. Call recommendedPerfumes with recent interactions or catalog additions
  3. Include the recommended perfumes (with images and family data) in the email template

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New launch targeting

When a new fragrance launches, identify which users are most likely to enjoy it:
  1. Get the new perfume’s olfactive profile (family, ingredients)
  2. Match against users whose preference history aligns with that profile
  3. Target those users with launch communications

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Segmentation by olfactive profile

Group users by their dominant family affinities or ingredient preferences for targeted campaigns — for example, sending woody fragrance promotions to users who consistently engage with woody perfumes.

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Cross-session persistence

The same userId works across:
  • Multiple website visits — preferences accumulate over time
  • Different devices — as long as the user is identified
  • Different touchpoints — web, mobile app, in-store kiosk, email
This enables a consistent understanding of taste that improves with every interaction, regardless of where it happens.