TextApp Code Promo

Text App is an AI-powered customer communication platform built by the team behind LiveChat, HelpDesk, and ChatBot. Rather than building a tool that stops at ticketing or basic chat, Text App combines live chat, autonomous AI agents, a help desk, and multi-channel messaging into a single shared workspace, trusted by over 35,000 companies. The product sits at the intersection of customer support and revenue generation, working on the premise that support conversations are also sales opportunities when handled with the right intelligence.

• Text Intelligence, the self-learning AI layer: is the engine at the center of the platform. It trains on your own knowledge sources: website URLs, help documentation, FAQ pages, and past conversation history. From there it operates autonomously, handling inbound inquiries across chat, email, and social channels without requiring human intervention for routine cases. The AI does not just match keywords to pre-written answers. It interprets the intent behind a message, pulls from the full context of a customer's history, and either resolves the inquiry or hands it off to a human agent with a complete summary of what was discussed. Teams using Text App report resolution rates around 74%, compared to an industry average of 59%.

• Custom AI skills: extend the agent's capabilities beyond basic FAQ resolution. In plain language, with no coding required, teams define behaviors: qualify a lead, detect a high-value customer and route them to a senior agent, apply a discount when a certain intent is detected, block spam, or collect contact information before escalating. The agent executes these skills consistently across every conversation, at any hour. One team, according to Text's own documentation, built an effective skill in under a minute with a single sentence of instruction.

• The unified inbox: consolidates conversations from live chat, email, Facebook Messenger, WhatsApp, and SMS into one shared workspace. Every message carries the full conversation history regardless of which channel it came through, so no agent ever needs to ask a customer to repeat themselves. Ticket creation is automatic: incoming interactions are summarized, tagged, prioritized, and assigned without manual triage, removing the overhead of queue management from human agents entirely.

• AI Copilot: assists human agents during live conversations. It suggests replies in real time, surfaces relevant knowledge base articles, and produces automatic summaries when a conversation is transferred between agents. This means a new agent picking up a transferred conversation immediately sees what was discussed and what was already tried, rather than starting from scratch.

• Proactive campaigns: allow teams to reach customers before they reach support. Behavior-triggered pop-ups, banners, and personalized greetings can be configured to fire when a visitor lands on a pricing page, lingers on a checkout screen, or returns for the third time in a week. These proactive touchpoints convert passive visitors into engaged conversations, and the AI agent can then qualify and capture those leads automatically.

• Workflow automation: uses a visual, no-code builder where triggers and actions are set up through a drag-and-drop interface. Rules can create follow-up tickets, send conversation transcripts, sync customer data to a CRM, escalate stale tickets to a manager, or trigger notifications in Slack. No engineering time is required to build or modify these rules.

• Analytics and reporting: surface response times, resolution rates, CSAT scores, ticket volumes, and individual agent performance in a real-time dashboard. Historical trend data is available across any selected time period, giving managers both an operational view and a strategic one.

• Integrations: connect natively with HubSpot, Shopify, Slack, LiveChat, HelpDesk, and ChatBot. A full API is available for custom integrations. The Shopify connection is particularly comprehensive: order data appears directly on every customer contact card, giving support agents immediate visibility into purchase history during any conversation.

Security certifications include SOC 2 audit, GDPR and CCPA compliance, and PCI DSS certification, with SSO, multi-factor authentication, role-based access controls, and full audit logs available across all plans.

• The AI agent is genuinely autonomous, not just a smarter chatbot: The gap between conventional rule-based chatbots and Text App's AI agent is meaningful in practice. Rule-based systems require a human to anticipate every possible question and write a corresponding answer in advance. Text Intelligence learns from existing knowledge sources and past conversations, which means it improves passively as the business operates and can handle questions that were never explicitly pre-programmed. For a small support team dealing with repetitive inquiries, this distinction translates directly into hours of time saved per week, not marginal improvements.

• Support conversations become a lead generation channel: Most customer support tools are designed to close tickets as efficiently as possible. Text App is built around a different premise: that visitors who engage in a chat are expressing intent, and that intent can be captured and converted. The combination of behavior-triggered campaigns, AI qualification flows, and lead capture inside the chat window means that the same team managing support is simultaneously building a pipeline. For a startup or small sales team without dedicated BDRs, this embedded lead generation capability is a meaningful source of incremental revenue that does not require additional headcount.

• The unified inbox solves context fragmentation at scale: As teams grow and customer volume increases, the problem of context getting lost between channels compounds rapidly. A customer who emailed last week and now opens a chat should not have to explain their situation again. Text App's single workspace preserves the full conversation history across every channel, meaning agents have context from the first interaction regardless of where it happened. This is a customer experience quality that larger enterprises spend significantly more to achieve through complex integrations between separate tools.

• No-code automation means the support team owns its own workflows: In most organizations, adding or modifying automation requires either an engineering ticket or a long configuration process in a tool that only an admin can touch. Text App's visual workflow builder is accessible to support team managers directly. When a new product launches, a new routing rule is needed, or a campaign needs to be set up for an upcoming promotion, the support team can make that change in minutes. This operational agility matters most in smaller companies where engineering resources are always competing priorities.

• The Text ecosystem creates compounding value for teams already using LiveChat, HelpDesk, or ChatBot: Each of these tools was built by the same team and shares infrastructure, which means native integration is genuinely seamless rather than an API workaround. For a company that has already adopted any one of these products, adding Text App creates a unified platform view across the full customer communication stack without any migration effort.

• The per-user pricing on the Growth and Enterprise plans carries minimum monthly commitments that significantly raise the real cost: The Essential plan at $19 to $25 per user per month is accessible for small teams. The Growth plan, however, carries a minimum of $1,499 per month regardless of seat count, and the Enterprise plan starts at $3,999 per month. For a company with fewer than five or ten agents, these floor prices make the higher tiers disproportionately expensive. Teams between small and mid-market may find themselves paying for capacity they do not fully use in order to access features they need.

• AI resolution credits add unpredictability to monthly costs: The Essential plan includes 10 AI resolutions per month, which is functionally a trial amount rather than a usable allocation for any real business. Overage is charged at $0.99 per resolution in batches of 50. A support team handling even a modest volume of customer inquiries can exhaust its allocation quickly, and the automatic top-up mechanism means bills can grow without explicit approval. Teams running high volumes need to budget carefully and monitor usage actively to avoid cost surprises.

• The platform's breadth can feel like too much for teams that need only one thing: Text App bundles live chat, ticketing, AI agents, campaigns, and analytics in a single workspace. For a team that simply wants a clean ticketing system or a basic chat widget, the full feature set can feel heavy and the interface has more surface area than necessary. Several categories of users would be better served by a more focused tool. Text App's value is highest when teams actively use multiple components together rather than as a replacement for a single-purpose tool.

• Reliance on AI for the majority of resolutions introduces a quality oversight challenge: When an AI agent is handling 74% or more of conversations autonomously, the mechanisms for detecting and correcting poor responses require active monitoring. Teams that do not regularly review AI performance data, audit resolved conversations, and update knowledge sources will find resolution quality drifting over time. This is not a flaw specific to Text App but an operational reality for any AI-first support platform, and it requires that someone on the team owns AI performance as a regular responsibility.

Text App uses a per-user monthly pricing model combined with an AI resolution credit system. Resolution credits are consumed when the AI agent autonomously answers a customer question. All plans include a 14-day free trial with no credit card required. Annual billing provides savings compared to monthly rates.

AI resolution overage is charged at $0.99 per resolution, added automatically in batches of 50 ($49.50 per batch) when the monthly allocation is exceeded. A resolution is counted only when the AI agent directly answers at least one customer question; conversations transferred to a human without an AI answer do not consume a resolution credit.