How many features does Spoki offer?

Spoki includes 50+ features across marketing automation, customer support, sales enablement, and AI. Key capabilities include bulk messaging, chatbot builder, drag-and-drop flow builder, team inbox, abandoned cart recovery, payment collection, and AI agents — all accessible from a single dashboard.

Do I need technical skills to use Spoki?

No. Spoki is designed for marketing and support teams with zero coding skills. The visual flow builder uses drag-and-drop logic, templates are pre-built, and integrations connect in a few clicks via Zapier or Make. Developers can use the REST API and webhooks for custom setups.

Which AI features are included?

Spoki includes AI-powered chatbots for 24/7 customer support, automatic lead qualification, smart reply suggestions, sentiment analysis, and AI agents that can handle complex multi-turn conversations. AI features are available on Service and Marketing plans.

Can I automate WhatsApp messages with Spoki?

Yes. Spoki's automation engine lets you create unlimited workflows triggered by events like form submissions, cart abandonment, payment confirmations, or scheduled times. Each workflow can include conditional logic, delays, A/B tests, and multi-channel actions across WhatsApp, SMS, and email.

What reporting and analytics does Spoki provide?

Spoki provides real-time dashboards tracking message delivery rates, open rates (typically 98%), click-through rates, conversion rates, and ROI per campaign. You can segment data by channel, campaign, operator, and time period. Advanced analytics are available on the Marketing plan.

Artificial Intelligence

Hyper-personalization for WhatsApp & multichannel CRM

Name: Hyper-personalization for WhatsApp & multichannel CRM
Brand: Spoki

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.

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What is hyper-personalization in a CRM?

Hyper-personalization in a CRM uses behavioural segmentation, LTV prediction and AI to tailor every WhatsApp message to the individual customer profile, journey stage and recent activity. Spoki delivers it natively on the WhatsApp Business API with 100+ data sources (Shopify, WooCommerce, HubSpot, Salesforce) and 60% conversation interaction rates that reveal real preferences instead of inferred ones.

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

Connect your data

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

Train the embedding

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

Predict the right moment

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

Measure and learn

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

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