Contact Us
Cross-industry

Proactive Conversion & Retention Agent

Don't wait for visitors to ask. NIVA's goal-driven agents trigger on idle, return visits and page context to qualify, rescue carts, and drive renewals.

proactive chatbot goal-driven AI agent cart recovery bot conversion chatbot retention automation AI
24/7
Automated Coverage
0
Developers Required
5
Automation Steps
4
Measurable Outcomes
The Problem
Most chatbots are passive: they wait for a question and miss the moment a visitor is about to leave or is ready to convert.

How NIVA Handles This Automatically

NIVA's proactive, goal-driven agents (Pro+ plans) pursue defined goals and fire on triggers like idle time, return visits and page context, executing multi-step plans to qualify leads, rescue carts or prompt renewals, with performance monitoring built in.

Live Conversation Flow
1
Define a goal: "qualify this lead" or "rescue this cart"
2
Set proactive triggers: idle, return visit, page context
3
Agent initiates the conversation when conditions match
4
Execute a multi-step plan toward the goal
5
Monitor performance and flag underperforming prompts

Step-by-Step: What Happens Inside the Chat

Define a goal "qualify this lead" or "rescue this cart"
Set proactive triggers idle, return visit, page context
Agent initiates the conversation when conditions match
Execute a multi-step plan toward the goal
Monitor performance and flag underperforming prompts

Before NIVA vs. With NIVA

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

Area Before NIVA With NIVA
Engagement Passive, wait-for-ask Proactive at the right moment
Cart recovery Lost silently Actively rescued
Lead qualification Manual Goal-driven and automatic
Optimisation Guesswork Performance monitored

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 engagement, you move from passive, wait-for-ask to proactive at the right moment; on cart recovery, you move from lost silently to actively rescued; on lead qualification, you move from manual to goal-driven and automatic; on optimisation, you move from guesswork to performance monitored. 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 proactive conversion & retention agent?
It is a NIVA-powered conversational agent in which nIVA's proactive, goal-driven agents (Pro+ plans) pursue defined goals and fire on triggers like idle time, return visits and page context, executing multi-step plans to qualify leads, rescue carts or prompt renewals, with performance monitoring built in. 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.