Audience Segmentation & Targeting

Create audiences dynamically with rule-based segments; keep memberships auto-updated so automations run on the right target.

Segmentation acts as the ‘brain’ of automation in Pika. It is not just list building; it links behavioral and transactional data to rules and keeps audiences continuously updated, removing manual filtering.

What does it provide?

  • Rule tree: flexible AND/OR conditions (e.g., no purchase in 30 days AND avg basket > X).
  • Parametric segment templates: apply the same structure across brands/stores.
  • Membership management: process join/leave events automatically and use them as triggers.
  • Channel eligibility: encode consent constraints like WhatsApp opt-in into segment rules.

How it works (summary):

  1. Select segment type (inactivity, high-value, cross-sell, engagement, etc.).
  2. Enter parameters (days, minimum amount, category, engagement threshold...).
  3. System evaluates periodically or event-based.
  4. Membership changes are recorded and trigger automations.
  5. Segments are directly used in campaign/journey targeting.

KPI: segment size trend, segment churn (exit), segment-to-campaign conversion rate, evaluation duration.

Example scenarios:

  • 2+ purchases in the last 14 days → VIP care flow
  • Users with WhatsApp consent → fast information line
  • Users interested in category X → category-based recommendation campaign