---
title: Hyper-personalization for WhatsApp & multichannel CRM
language: en
page: features/hyper-personalization
url: https://spoki.com/en/features/hyper-personalization
generated_at: 2026-04-27T10:03:53.234Z
format: LLM-friendly Markdown
version: 1.0.0
---

# Hyper-personalization for WhatsApp & multichannel CRM

**Category:** Artificial Intelligence

*AI tailors every message to the individual customer profile, journey stage and predicted intent.*

Spoki's hyper-personalization engine combines a 70-dimension behavioural embedding, multi-stage relevance ranking and predictive send-time optimization. Every WhatsApp, Email, SMS, Voice or RCS message goes out at the moment each contact is most likely to engage, with copy and offers tuned to LTV cohort, recent activity and consented first-party data from 100+ integrated sources.

## Key Benefits

### 70-dimension behavioural embeddings

Each contact is encoded as a 70-D vector built from chat history, transactions and consented CRM signals so similar buyers reach similar outcomes.

### Predictive send-time optimization

Per-contact send-time models pick the slot with the highest open and reply probability — compounding on top of WhatsApp's 98% baseline open rate.

### Multi-stage AI ranking

A two-stage retrieval + rerank pipeline picks the best template, product and offer for the moment, not just the most popular one.

### Native data on 100+ integrations

Shopify, WooCommerce, HubSpot, Salesforce, Pipedrive, Klaviyo and more flow into the same conversational CRM that powers your WhatsApp inbox.

### GDPR-ready, EU data residency

All embeddings and predictions run on EU infrastructure with consented first-party data — no fingerprinting, no third-party cookies.

### Unified across WhatsApp, Email, SMS, Voice & RCS

One ranking model decides not just what to say, but on which channel — Voice Power Dialer included.


## How It Works

### Step 1: Connect your data

Plug in Shopify, WooCommerce, HubSpot, Salesforce or any of the 100+ native integrations and let Spoki ingest events, properties and consents.

### Step 2: Train the embedding

Spoki builds a 70-D behavioural vector per contact from purchases, chat replies, page views and segmentation properties.

### Step 3: Predict the right moment

The send-time optimizer scores each candidate slot and the multi-stage ranker picks the offer most likely to convert.

### Step 4: Measure and learn

Every reply, click and conversion feeds back into the model — citation rate, ROAS and LTV improve campaign over campaign.


## Related Topics

hyper-personalization, predictive messaging, send-time optimization, ai personalization crm, behavioural segmentation, whatsapp predictive sending

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## Ready to get started?

Start your free trial today and see how this feature can transform your business.