AI & Machine Learning · Marketing

Textellent — Multi-Tenant SMS Marketing Platform

17 product variants, 900+ permissions and NLP sentiment routing on one multi-tenant SMS platform serving thousands of Textellent's business clients.

17 variants of the same platform

Textellent serves thousands of business clients through 17 product variants, among them LibText, ProText and InsureText, each with its own feature set. All of them had to run on one multi-tenant platform, with automated campaigns, NLP sentiment analysis of incoming messages, billing, and granular role-based access control.

Products, campaigns and permissions

We built the platform in Java. Each product variant configures its own campaign types, metrics and permissions, and 99 product-campaign combinations are mapped. Campaigns include birthday greetings, appointment reminders, client win-back, referral requests, drip campaigns and text blasts, with multi-language templates.

Access control has four tiers, mapping 28+ UI privileges across 900+ role-permission combinations. Contact lists carry compliance controls for do-not-text, blocked and restricted numbers, and the platform tracks 21+ KPI metrics such as incoming texts and calls, missed appointments and completed appointments. KillBill handles subscription billing.

Reading the replies

Stanford NLP classifies the sentiment of every incoming SMS, so messages are routed and prioritised for response automatically. It serves clients across multiple industries, and the 17 variants let Textellent package it for different market segments, from basic text services to enterprise SMS suites.

Building something similar?

If you are planning a multi-tenant messaging SaaS, book a 30-minute call. We will walk you through how we built this one, what it would take for yours, and who would work on it.

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