[Chatbot & Voicebot]

Automated conversations that convert

We plan and develop AI-driven conversational chatbots and voicebots to automate lead qualification, customer service, sales support, and marketing conversations on the channels where your customers already communicate — website, WhatsApp, Messenger, Instagram Direct, Telegram, and voice channels. We work on B2C and B2B with bots built on LLM models (GPT-4, Claude, Gemini), corporate knowledge bases, and native integration with CRM, marketing automation, and tracking stack. One goal only: to transform automated conversation from a technological gadget into a measurable channel for acquisition, qualification, and service, capable of handling thousands of simultaneous interactions while maintaining quality consistent with the brand.

Main Objectives

01
LEAD GENERATION AND QUALIFICATION OBJECTIVES
- Qualify inbound leads 24/7 with intelligent conversations that gather relevant information before passing them to the sales team
- Reduce the cost per qualified lead by automating the initial screening on high volumes of incoming requests
- Increase conversion rate on site and landing page with proactive chatbots that engage users in the decision-making phase
- Integrate collected leads directly into the CRM with automatic scoring, intelligent routing, and assignment to the correct sales representative
02
CUSTOMER SERVICE AND SUPPORT OBJECTIVES
- Automate responses to recurring FAQs — orders, shipments, returns, warranties — freeing up customer service teams for complex cases
- Ensure 24/7 multilingual availability on all channels with responses consistent with the documented company knowledge base
- Reduce average first response time from hours to seconds with a significantly improved user experience
- Manage intelligent escalation to human operators for cases requiring empathy, complex decision-making, or authorized exceptions
03
CONVERSATIONAL MARKETING OBJECTIVES
- Build marketing conversations on WhatsApp Business with automated and personalized nurturing sequences
- Integrate bots with Click-to-WhatsApp Meta Ads campaigns for end-to-end conversational lead generation journeys
- Develop interactive quizzes, product finders, and conversational configurators that guide the user to the right product
- Build re-engagement flows for dormant users with personalized conversational messages based on behavioral signals
04
VOICEBOT AND VOICE AUTOMATION OBJECTIVES
- Develop intelligent IVR voicebots that replace traditional phone menus with smooth natural conversations
- Automate appointment bookings, order confirmations, and cancellation management via voice with business calendar integration
- Build internal voice assistants for company knowledge bases accessible to sales force and operational teams
- Integrate voicebots with company CRM for automatic call recording, transcriptions, and semantic classification of conversations
05
STACK MARKETING INTEGRATION OBJECTIVES
- Natively integrate bots with CRM (Salesforce, HubSpot, Pipedrive) for lead, opportunity, and conversation synchronization
- Connect bots with marketing automation to trigger email campaigns, push notifications, and cross-channel behavioral segmentation
- Track bot conversations in GA4 with custom events, conversions, and attribution to the complete acquisition funnel
- Build bot performance dashboards with dedicated KPIs — conversion rate, escalation rate, customer satisfaction, cost saved
06
GOVERNANCE AND COMPLIANCE OBJECTIVES
- Ensure GDPR compliance on bot conversations with explicit consent, personal data management, and data subject rights
- Document authorized knowledge base that the bot can use to avoid hallucination on sensitive information
- Implement guardrails and safety checks on LLM-generated content to avoid off-brand or legally risky responses
- Monitor conversations with periodic quality audits, bias identification, and continuous refinement of models and prompts

How do we work?
19ADV’s operational framework
in Performance Marketing

Briefing and definition of requirements

We analyze the business model, target audience, and reference markets — B2C, B2B, and D2C — and define concrete objectives and measurable KPIs: listens, visits, leads, awareness, and cost per acquisition.

Free diagnostic audit

If you are already investing in Spotify Ads, we analyze your account to identify issues and opportunities in campaign structure, segmentation, audiences, and audio and video creatives.

Strategy definition

We build the campaign strategy starting from the objectives not from the available formats and we define the targeting budget, mix of formats and integration with the other active channels

Production and setup

Gestiamo o coordiniamo la produzione degli asset creativi script audio voiceover e video e configuriamo le campagne su Spotify Ad Studio con tracciamento preciso degli obiettivi

Ottimizzazione continua

We monitor performance and constantly optimize exposure frequency, targeting and creativity. No campaign is left running unsupervised.

Reporting and analysis

Periodic reports with the metrics that really matter: real coverage, ad completion frequency, traffic generated and cost per result, no vanity metrics, just useful data

Chatbot & Voicebot Campaigns

Methodological approach

Initial discovery with identification of priority use cases, expected volumes, and expected ROI for each conversational automation
Conversation design planning with flow, bot persona, escalation logic, and documented edge case management
Iterative development on chosen platform with progressive testing on real users and refinement of knowledge base and prompts
Continuous post-go-live monitoring with performance dashboard, analysis of real conversations, and recurring model tuning

Chatbot & Voicebot Services Available

Chatbot lead generation for website and landing page with automatic qualification and native CRM integration
WhatsApp Business bot for conversational marketing, customer service, and cross-campaign Meta Ads automation flows
Intelligent IVR voicebot for switchboard automation, appointment management, and voice sales support
Custom AI agent on LLM (GPT-4, Claude) with company knowledge base, guardrails, and full marketing stack integration

Integrated technology stack

LLM Models: OpenAI GPT-4, Anthropic Claude, Google Gemini, Mistral for advanced conversational intelligence
Chatbot platforms: Voiceflow, Botpress, ManyChat, Tidio, Intercom, Zendesk Answer Bot, dedicated custom solutions
Voicebot and telephony: Twilio, Vonage, Amazon Connect, Google Dialogflow for voice and corporate telephony integration
Native integrations: CRM (Salesforce, HubSpot), WhatsApp Business API, Meta Click-to-WhatsApp, GA4 and marketing automation

Frequently Asked Questions about Chatbot & Voicebot

Decisively yes, but with constraints. LLM-based bots (GPT-4, Claude, Gemini) understand natural language, handle variations in phrasing, and maintain conversation context in a way that flow-based bots could not. However, they require well-structured knowledge bases, guardrails to avoid hallucinations, and continuous supervision. The common mistake is thinking that it’s enough to “connect ChatGPT” — without professional setup, LLM bots respond appropriately but risk off-brand, incorrect, or legally problematic responses.

Variable based on complexity. Chatbot lead generation for site on standard platforms (ManyChat, Tidio, Intercom) with basic CRM integration: 5-15k€ setup + monthly platform fee (50-500€/month). Custom chatbot on LLM with company knowledge base, advanced integrations, multi-channel: 20-60k€ setup + LLM API costs proportional to volume. Enterprise IVR voicebot with telephony and CRM integration: 30-100k€ setup + variable telephony fee. ROI depends on the volume of interactions managed and the hourly cost of operators replaced.

Chatbot lead generation standard with existing platform: 3-6 weeks from kickoff to go-live. Custom AI chatbot on LLM with extended knowledge base and multiple integrations: 8-16 weeks. IVR voicebot with integrated telephony: 12-20 weeks considering telephony setup, voicebot development, CRM integration, and tuning phase on real conversations. The technical part is only half of the work: the other half is conversation design, knowledge base curation, and continuous refinement post-launch.

It supports, it does not replace. Typically automates 50-80% of recurring requests (schedules, orders, standard FAQs) freeing the team for complex cases that require empathy, discretionary decision-making, or exception handling. The goal is not to eliminate humans but to use them on activities where the human difference truly matters. Models that try to completely replace customer service produce user frustration, reputational damage, and customer loss — much more costly than the savings on salaries.

Con direct and indirect metrics. Direct: number of conversations handled, deflection rate (% of conversations resolved without human intervention), conversion rate from chat to lead/sale, average first response time, cost per conversation. Indirect: customer satisfaction (NPS, CSAT), reduction of customer service team workload, ability to handle peaks without scaling the team, improvement of the site’s conversion rate thanks to proactive chatbot. The typical ROI on well-implemented chatbots comes in the first year; enterprise voicebots have longer payback periods (12-24 months) but higher savings in the long run.

Funziona molto bene per categorie con cicli di acquisto rapidi e conversazione naturale — retail, ristorazione, beauty, servizi locali, fitness, eventi. WhatsApp ha tassi di apertura superiori al 90% (vs 15-20% email) e conversion rate significativamente più alti su flussi di nurturing. Funziona meno bene su categorie dove la conversazione è inappropriata (acquisti d’impulso bassi, prodotti che richiedono valutazione lunga) o dove il target non è abituato a comunicazione conversazionale con brand. Funziona meglio integrato con Click-to-WhatsApp Meta Ads per flussi end-to-end.

[Chatbot & Voicebot]

Automated conversations that convert

LEAD GENERATION AND QUALIFICATION OBJECTIVES

CUSTOMER SERVICE AND SUPPORT OBJECTIVES

CONVERSATIONAL MARKETING OBJECTIVES

VOICEBOT AND VOICE AUTOMATION OBJECTIVES

STACK MARKETING INTEGRATION OBJECTIVES

GOVERNANCE AND COMPLIANCE OBJECTIVES

Chatbot & Voicebot Campaigns

Methodological approach

Chatbot & Voicebot Services Available

Integrated technology stack

Frequently Asked Questions about Chatbot & Voicebot

Are AI chatbots really better than the old predefined flow bots?

How much budget is needed to implement a professional AI chatbot?

How long does it take to develop and deploy a chatbot?

Does the chatbot really replace the customer service team?

How is the ROI of a chatbot measured?

Does the WhatsApp Business bot really work for B2C?