Conversica Unveils Conversational Account-Based Marketing Solution to Deliver Personalized Engagement at Scale

Conversica AI Assistants solve ABM execution challenges by allowing sales and marketing teams to augment capacity for personalized engagement with every target account

FOSTER CITY, Calif., November 9, 2021 – Conversica, Inc., a leader in Conversational AI solutions for enterprise revenue teams that help organizations attract, acquire and grow customers at scale, today announced new Conversational Account-Based Marketing (ABM) capabilities available through its AI Assistants. Conversica’s Conversational ABM solution combines the value of personalized human dialog with the prompt, persistent, and consistent engagement of Conversational AI, enabling sales and marketing teams to execute at scale with increased engagement, accelerated deal cycles, and better customer experience for every account.

ABM has emerged as an essential go-to-market strategy in today’s digital age, arming organizations with useful intent data to better target and engage high-value accounts and deliver a consistent omnichannel experience that meets buyer expectations. However, marketing and sales teams consistently face capacity limitations, and as a result, don’t have the time to effectively use the data for personalized outreach at scale. Conversica’s 2021 State of Account-Based Marketing Report revealed that only 49% of salespeople and 43% of marketers in the research study say they currently use intent data to personalize prospect communications. Additionally, only 38% of salespeople are sending personalized communications to top prospects on every touch, indicating that the effort to manually deliver timely, personalized communications to every target account remains a challenge for overburdened teams within both departments.

Conversica’s Conversational ABM solution solves the ABM execution challenge by automating personalized outreach across email, SMS, and website chat. By leveraging account-based insights, such as firmographic, buyers’ persona, sales stage, and intent data, Conversica AI Assistants engage with prospects in hyper-personalized, dynamic, two-way conversations –– just as a human would. At the moment intent is determined, the AI Assistant can autonomously interpret the next best action and drive the accounts and contacts towards revenue-generating decisions. Conversica’s Conversational ABM capabilities provide the consistency and scale that no human team can, allowing sales teams to work only the qualified target accounts and concentrate on conversion and close while simultaneously presenting an innovative approach to solve ABM execution.

Key features of Conversica’s Conversational ABM solution include:

  • New ABM Outreach Skill: Conversica has built, tested, and optimized three new ABM-specific conversations based on the most successful account-focused engagement tactics that sales teams use today: leveraging customer testimonials, relating to known business challenges, and highlighting tangible results to the problems that specific persona’s face. Customers that leverage the new conversations will likely see an increase in the velocity, quality, and quantity of opportunities generated by engaging targeted accounts consistently, persistently, and at scale.
  • Marketing Skill Updates: Organizations can complement the ABM Outreach skill with four existing Marketing Assistant conversations intended to cultivate early interest with fresh contacts, re-engage accounts that expressed previous interest, and generate new interest with current customers through partner cross-sell and prospecting opportunities. Integrating ABM variables into these conversations increases personalization and engagement, thereby driving new life into accounts.
  • Account-Based Data: Conversica makes it easy to achieve personalization at scale by making key account-based data and attributes readily available, enabling customers to apply account-based firmographic, segmentation, and intent data into highly personalized engagements.
  • Conversation Rules: Enables customers to define initial conversation routing logic based on account and contact attributes, including persona, industry, region, intent, action, interest, and more. By combining the new conversation routing capability with pre-built and optimized ABM conversations, organizations can deliver hyper-personalized, two-way conversations out of the box –– no development needed.

“The successful execution of an ABM strategy is dependent on access to insights and the use of those insights in highly personalized, human-like engagement,” said Sonny Dasgupta, Head of Product Marketing at Conversica. “We are excited to enter the Conversational ABM space with a solution optimized to do just that and more, including improving the quality of engagement, qualification speed, and conversation rates. As a result, organizations will be able to achieve personalization at scale and greater ABM effectiveness by expanding the number of targeted accounts, achieving better ROI, and having more predictable revenue through higher volume and greater sized deals.”

About Conversica
Conversica is the leading provider of Conversational AI solutions that help enterprise marketing, sales, and customer success teams attract, acquire and grow customers at scale across the customer revenue lifecycle. Conversica AI Assistants serve as digital team members and autonomously engage prospects, customers, or partners in human-like, two-way interactions at scale to drive towards the next best action, whether that’s scheduling a sales meeting, gauging interest to buy additional products or services, or politely but persistently collecting overdue payments.

Processing over a billion interactions, the Conversica Conversational AI platform integrates natural language processing (NLU & NLG), decision & policy management, business process automation and deep learning capabilities to drive customer engagement across multiple digital communication channels and languages. The Conversica platform supports over 50 integrations into the most popular MAP and CRM platforms and offers an open API for custom integration.

To learn more, visit conversica.com and follow the company on TwitterLinkedIn and Facebook.

* * *

Conversica Media Contacts:
Edward Lin, on behalf of Conversica
[email protected]

Author Information

As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.

Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.

Latest Insights:
Is AI Ready for Real Work, or Are Enterprises Still Stuck in Experimentation?
July 4, 2026

Is AI Ready for Real Work, or Are Enterprises Still Stuck in Experimentation?

Most enterprises claim advanced AI maturity, but lack governance and deployment strategies. Leading organizations are moving from experimentation to measurable AI impact....
Compliance as Code Is No Longer Optional: Why Manual Reviews Can’t Keep Up
July 4, 2026

Compliance as Code Is No Longer Optional: Why Manual Reviews Can’t Keep Up

Qodo's 'Compliance as Code' framework automates enterprise AI compliance through PR checks, solving the data privacy and security gaps that plague manual reviews at scale....
Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training
July 3, 2026

Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training

Databricks AI reveals critical GPU reliability challenges in distributed training environments. Silent slowdowns and numerical corruption pose greater risks than visible failures, threatening model quality and compute efficiency at enterprise scale....
AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos
July 3, 2026

AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos

A survey shows 94% of engineering leaders use agentic AI coding tools, but 55% struggle with reliability and hallucinations—revealing a critical gap between development speed and production quality....
Latest Research:
The Enterprise Imperative for Digital Sovereignty Architecture, Control, and Competitive Advantage
June 17, 2026
Research
Research

The Enterprise Imperative for Digital Sovereignty: Architecture, Control, and Competitive Advantage

In our latest Market Brief, The Enterprise Imperative for Digital Sovereignty: Architecture, Control, and Competitive Advantage, completed in partnership with IBM, Futurum Research explores why AI is changing the sovereignty...
Data Gravity in the Age of AI Engineering the Mission-Critical Engine for Autonomous Workloads
June 11, 2026

Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads

In our latest report, Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads, completed in partnership with Oracle, Futurum Research explores why fragmented data architectures...
The Autonomous IT Imperative
June 2, 2026
Research
Research

The Autonomous IT Imperative

In our latest Market Report, The Autonomous IT Imperative, completed in partnership with Tanium, Futurum Research examines why traditional IT operations and security models are reaching their limits—and how Autonomous...

Book a Demo

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.