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Cross-industry

Lead Capture & Conversation Analytics Chatbot

Capture every lead automatically and see exactly what visitors ask. NIVA logs full sessions, captures name and email after two exchanges, and exports to any CRM.

lead capture chatbot conversation analytics bot chatbot lead generation CSV export chatbot visitor insight AI
24/7
Automated Coverage
0
Developers Required
5
Automation Steps
4
Measurable Outcomes
The Problem
Businesses run chatbots but lose the leads and insights: no structured capture, no visibility into what visitors actually ask, and no easy export to the CRM.

How NIVA Handles This Automatically

NIVA captures lead name and email naturally after two exchanges, logs full session history attributed to the correct bot, and exports to CSV for any CRM. Tenant users see only their own leads, and analytics reveal common questions and drop-off points.

Live Conversation Flow
1
Visitor starts a conversation
2
After two exchanges, capture name and email naturally
3
Full session history logged and attributed to the bot
4
Analytics: review common questions and patterns
5
Export leads to CSV for any CRM

Step-by-Step: What Happens Inside the Chat

Visitor starts a conversation
After two exchanges, capture name and email naturally
Full session history logged and attributed to the bot
Analytics review common questions and patterns
Export leads to CSV for any CRM

Before NIVA vs. With NIVA

Real differences your team will feel from day one — not theoretical benchmarks.

Area Before NIVA With NIVA
Lead capture Missed or manual Automatic after two exchanges
Visitor insight None Full session history
CRM handoff Manual CSV export
Data access Mixed Per-tenant isolation

How NIVA Powers This

Under the hood this maps to NIVA's documented engines. The persona engine handles tone and routing for cross-industry, drawing on a library of pre-trained personas so the agent speaks the language of the domain from day one rather than being trained from scratch. The flow engine runs the conditional steps in the sequence shown above, branching on the visitor's answers so each person follows the path that fits their situation. The smart-form engine surfaces structured fields at the moment intent appears, capturing clean data inline instead of bouncing the user to a separate form. Cross-session memory preserves context so returning users are recognised and never asked to repeat themselves. Finally, webhooks push the completed interaction into your systems of record, and per-persona tool calls can read live data from your APIs mid-conversation wherever an endpoint exists. None of these steps requires writing code; they are assembled in the no-code admin and embedded with a single script tag.
Who Is This For

This is a public-facing deployment that engages prospects and customers directly on your website or app. It is designed to capture demand that would otherwise be lost outside business hours, to deflect the repetitive questions that consume your cross-industry team, and to turn anonymous traffic into structured, followed-up leads.

In practical terms, the shift looks like this: on lead capture, you move from missed or manual to automatic after two exchanges; on visitor insight, you move from none to full session history; on crm handoff, you move from manual to csv export; on data access, you move from mixed to per-tenant isolation. Each of these is a direct consequence of moving the interaction from a manual, human-gated channel to an always-available conversational one that still escalates to a person when the situation genuinely needs it.

NIVA Engines Persona Engine Flow Engine Smart Forms RAG Knowledge Webhooks
Implementation Note

Implementation reality: the conversational layer, routing, data capture, and system handoff are all within NIVA's documented no-code capabilities. Where this use case reads or writes live data, it assumes the relevant API or webhook endpoint exists on your side; that integration is the one piece worth scoping before launch. Start with the knowledge base and flow, then layer in live API calls once the core experience is proven.

Frequently Asked Questions

What is a lead capture & conversation analytics chatbot?
It is a NIVA-powered conversational agent in which nIVA captures lead name and email naturally after two exchanges, logs full session history attributed to the correct bot, and exports to CSV for any CRM. It runs on your website or app and works around the clock without adding headcount.
How does NIVA build this without code?
You select a pre-trained Cross-industry persona, connect your knowledge sources, and assemble the flow and forms in the no-code admin. The example flow on this page can be replicated step by step, and the bot embeds with a single script tag.
Can it connect to our existing systems?
Yes. Completed conversations fire webhooks into your CRM, booking system, or ticketing tool, and per-persona tool calls can read live data from your APIs during the conversation where an endpoint exists.
How quickly can we go live?
Because the Cross-industry persona is pre-trained and the engines are no-code, a working version of this use case can be configured and embedded quickly, then refined against real conversations.
Ready to Deploy

Build This for Your Business in Hours, Not Months

No developers. No long setup. NIVA gives you every engine shown on this page — persona routing, flow automation, smart forms, and webhooks — as a ready-to-configure platform.