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Cross-industry / B2B

Interactive ROI & Pricing Calculator Chatbot

Turn pricing curiosity into qualified leads. NIVA collects inputs, computes an ROI or price estimate via API, shows the result, and captures the lead.

ROI calculator chatbot pricing estimate bot interactive calculator AI B2B lead capture chatbot value calculator automation
24/7
Automated Coverage
0
Developers Required
5
Automation Steps
4
Measurable Outcomes
The Problem
Static ROI calculators and hidden pricing pages cause drop-off and capture no context about who is interested.

How NIVA Handles This Automatically

A presales persona collects relevant inputs via Smart Forms, an API node computes an ROI or price estimate, the result is shown inline, and a webhook captures the lead with all inputs for sales context.

Live Conversation Flow
1
Trigger: "how much" or "what's my ROI"
2
Form: relevant inputs (volume, current cost, size)
3
API call: compute the ROI or price estimate
4
Message: present the result inline
5
Webhook: capture the lead with inputs for sales

Step-by-Step: What Happens Inside the Chat

Trigger "how much" or "what's my ROI"
Form relevant inputs (volume, current cost, size)
API call compute the ROI or price estimate
Message present the result inline
Webhook capture the lead with inputs for sales

Before NIVA vs. With NIVA

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

Area Before NIVA With NIVA
Calculator drop-off High on static tools Conversational
Lead context None Inputs captured
Pricing friction Hidden, frustrating Transparent estimate
Sales handoff Cold Context-rich

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 calculator drop-off, you move from high on static tools to conversational; on lead context, you move from none to inputs captured; on pricing friction, you move from hidden, frustrating to transparent estimate; on sales handoff, you move from cold to context-rich. 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 an interactive roi & pricing calculator chatbot?
It is a NIVA-powered conversational agent in which presales persona collects relevant inputs via Smart Forms, an API node computes an ROI or price estimate, the result is shown inline, and a webhook captures the lead with all inputs for sales context. 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.