Plays LibraryPre-Sales
Lead to MeetingIntermediateHigh Impact

Abandoned Chat Follow-Up

Convert inbound and known leads into booked meetings

Sales Stage

Pre-Sales

Difficulty

Intermediate

Impact

High

Channels

Overview

Interacting with prospects via chatbot is a valuable opportunity to connect in real-time, answer questions, and point them in the right direction. However, the buyer has control over these conversations and can end them at any time. If a prospect abandons a conversation before providing their contact information or filling out a form, use the IP and company data filters to identify the visitor's company and enrich that data to identify the company's likely buying group. Then set up an automated email sequence to the group. By reaching out to other potential decision-makers, you can ensure that this is not a missed opportunity, but rather a starting point to engage with the right people.

Key Features

Contact DiscoveryChatbotABM AudiencesWebsite Visitor IP Tracking

Data Types

Contact DataCompany DataWebSights

Triggers

  • Identify visitors who engage with website chat but do not convert

Actions

  • Discover a set number of ZoomInfo contacts which meet your contact filters
  • Export
  • Send records to your business system (CRM, MAT, SEP, CSV)
  • Assign to a User
  • Then enroll in a Campaign (optional)

Default Natural Language Configuration

When a company abandons a chat then discover up to 20 ZoomInfo contacts which select criteria then export to select system as record type and select campaign and assign to select user

Standard Operating Procedure

1. Identify Abandoned Chat Interactions

  • Set up tracking for chat interactions on website
  • Define criteria for "abandoned" chats (e.g., no form fill, no contact info provided)

2. Configure ZoomInfo Contact Discovery

  • Establish contact filters (e.g., management level, department)
  • Set maximum number of contacts to discover (e.g., up to 20)

3. Enrich Company Data

  • Use IP information to identify the visitor's company
  • Leverage ZoomInfo to enrich company data

4. Automated Contact Discovery

  • Trigger ZoomInfo contact discovery based on enriched company data
  • Apply predefined contact filters to identify potential buying committee

5. Data Export and Integration

  • Configure export settings to chosen business system (CRM, MAT, SEP)
  • Set up data mapping for seamless integration

6. Lead Assignment

  • Define rules for automatic lead assignment to appropriate team members

7. Campaign Enrollment

  • Create targeted follow-up campaign in CRM/MAT/SEP
  • Set up automatic enrollment of discovered contacts into the campaign

8. Multi-Channel Outreach

  • Develop email templates for follow-up sequence
  • Configure additional outreach channels (phone, ads) as needed

9. Performance Tracking

  • Set up metrics to monitor engagement and conversion rates
  • Implement regular reporting on play effectiveness

10. Continuous Refinement

  • Regularly review and adjust contact discovery criteria
  • Optimize campaign messaging based on performance data

Yield Model

Yield in $ Formula

Potential Yield = (MCV * IR * ER * CR / 10^6) * ADS * Months

Key Drivers

Identification Rate (IR)Engagement Rate (ER)Conversion Rate (CR)Average Deal Size (ADS)Monthly Chat Volume (MCV)

Driver Definitions

Identification Rate (IR) This measures the success rate in identifying the company or organization associated with an abandoned chat.

Engagement Rate (ER) This reflects the success in engaging the identified company's buying group or relevant contacts.

Conversion Rate (CR) This metric indicates the proportion of leads that convert into customers. A higher conversion rate suggests a more effective engagement and follow-up strategy.

Average Deal Size (ADS) This refers to the average revenue generated from each successful deal. Maximizing the average deal size is essential for increasing overall revenue, especially when the number of conversions is limited.

Monthly Chat Volume (MCV) This is the total number of chats initiated on the platform in a month.

AI Agent Prompt Template

I. Prompt Instructions - Overview

This email template targets prospects who have abandoned a chat on the company's website. The goal is to re-engage these potential leads by reaching out to relevant decision-makers within the organization, leveraging the company information obtained from the abandoned chat.

II. Information Included

The email will include personalized information between <context></context> for proper dynamic insertion:

  • Web Visit Information: Details about the specific pages visited, duration of visit, and any other relevant browsing behavior.
  • Company Information: Insights about the prospect's company, including identified pain points and behavior from engagement history.
  • Signals & Behavior: Details on the account's engagement history, including the abandoned chat interaction.
  • Account History: Documented CRM account history and conversation data recorded via Chorus Conversational Intelligence.
  • Contact Information: A group of five contacts across the buying committee, including roles and persona information.
  • Content Library: Relevant content such as upcoming webinars, whitepapers, or downloadable materials.
  • Messaging: Tailored messaging addressing persona-specific and segment-specific pain points.

III. Email Structure

<email> <subject>{{Personalized Subject Line}}</subject> <body> <p>Hi {{Contact.FirstName}},</p> <p>I noticed that someone from {{CompanyName}} recently started a conversation on our website but didn't get a chance to finish. I wanted to reach out personally to see if there's any way we can assist you or your team.</p> <p>Our {{Product.Name}} has been particularly helpful for companies in your industry, especially when it comes to {{ProductFeature}}. Many of our clients have experienced {{Benefit}} after implementation.</p> <p>I'd love to schedule a brief call to discuss how {{Product.Name}} might address your specific needs. How does {{ProposedDate}} work for you?</p> <p>In the meantime, you might find this resource interesting: {{ContentLibrary.RelevantContent}}</p> <p>Looking forward to connecting!</p> <p>Best regards,</p> <p>{{Sender.Name}}</p> <p>{{Sender.Title}}, {{Sender.Company}}</p> <p>{{Sender.ContactDetails}}</p> </body> </email>

IV. Context

<context> <Company Information> **`{{Company Information}}`** </Company Information> --- <Signals & Behavior> **`{{Signals & Behavior}}`** </Signals & Behavior> --- <Account History> **`{{Account History}}`** </Account History> --- <Contact Information> **`{{Contact Information}}`** </Contact Information> --- <Content Library> **`{{Content Library}}`** </Content Library> --- <Messaging> `{{Messaging}}` </Messaging> </context>

V. Optimizations

  • Subject Line Personalization: E.g., "{{Contact.FirstName}}, let's continue our conversation about {{Product.Name}}"
  • Engaging Opening: Reference the abandoned chat to create context and urgency.
  • Value-Driven Content: Highlight a key product feature and benefit relevant to the prospect's industry or role.
  • Call to Action: Propose a specific date for a follow-up call to encourage immediate action.
  • Resource Sharing: Offer relevant content from the library to provide immediate value and maintain engagement.

Merge Tokens Used

{{Contact.FirstName}}{{CompanyName}}{{Product.Name}}{{ProductFeature}}{{Benefit}}{{ProposedDate}}{{Sender.Name}}{{Sender.Title}}{{Sender.Company}}{{Sender.ContactDetails}}

Play Description for LLM

<play> **PLAY NAME** Abandoned Chat Follow-Up --- **🔁 Triggers** - Identify visitors who engage with website chat but do not convert --- **⚡️ Actions** - Discover a set number of ZoomInfo contacts which meet your contact filters - Export - Send records to your business system (CRM, MAT, SEP, CSV) - Assign to a User - Then enroll in a Campaign (optional) --- **✅ Goal / Problem to Solve** 🗓 Lead to Meeting --- **➡️ Channels** ✉️ Email, 📞 Phone, 📢 Ads --- **✏️ Summary** Interacting with prospects via chatbot is a valuable opportunity to connect in real-time, answer questions, and point them in the right direction. However, the buyer has control over these conversations and can end them at any time. If a prospect abandons a conversation before providing their contact information or filling out a form, use the IP and company data filters to identify the visitor's company and enrich that data to identify the company's likely buying group. Then set up an automated email sequence to the group. By reaching out to other potential decision-makers, you can ensure that this is not a missed opportunity, but rather a starting point to engage with the right people. --- **✏️ Default Natural Language** When a company abandons a chat then discover **up to 20** ZoomInfo contacts which **select criteria** then export to **select system** as **record type** and **select campaign** and assign to **select user** --- **Explainer-Video-Script** Don’t miss out on abandoned chats on your website. How? Run the Abandoned chat follow-up play. Chatbots are great for having real-time conversations with prospects, but sometimes a prospect leaves the chat before providing their contact information. Don’t let this discourage you. Instead, enrich their IP information to get the buying committee at their company and enroll these contacts in a campaign. Now you’re making the most of any abandoned chats! --- **🏷Features)** Contact Discovery, Chatbot, ABM Audiences, Website Visitor IP Tracking --- **🏷️ZoomInfo Data Types)** Contact Data, Company Data, WebSights --- **📁 Sales Stage** Pre-Sales --- **🚦 Difficulty** 🟦 - Intermediate --- **🧪Standard Operating Procedure (SOP)** ## 1. Identify Abandoned Chat Interactions - Set up tracking for chat interactions on website - Define criteria for "abandoned" chats (e.g., no form fill, no contact info provided) ## 2. Configure ZoomInfo Contact Discovery - Establish contact filters (e.g., management level, department) - Set maximum number of contacts to discover (e.g., up to 20) ## 3. Enrich Company Data - Use IP information to identify the visitor's company - Leverage ZoomInfo to enrich company data ## 4. Automated Contact Discovery - Trigger ZoomInfo contact discovery based on enriched company data - Apply predefined contact filters to identify potential buying committee ## 5. Data Export and Integration - Configure export settings to chosen business system (CRM, MAT, SEP) - Set up data mapping for seamless integration ## 6. Lead Assignment - Define rules for automatic lead assignment to appropriate team members ## 7. Campaign Enrollment - Create targeted follow-up campaign in CRM/MAT/SEP - Set up automatic enrollment of discovered contacts into the campaign ## 8. Multi-Channel Outreach - Develop email templates for follow-up sequence - Configure additional outreach channels (phone, ads) as needed ## 9. Performance Tracking - Set up metrics to monitor engagement and conversion rates - Implement regular reporting on play effectiveness ## 10. Continuous Refinement - Regularly review and adjust contact discovery criteria - Optimize campaign messaging based on performance data --- **🪙 RAG Inputs Used (Broad)** Customer Insights, Account Data, Business Intelligence --- **🪙 Email tokens Used** Contact.FirstName, CompanyName, Product.Name, ProductFeature, Benefit, ProposedDate, Sender.Name, Sender.Title, Sender.Company, Sender.ContactDetails --- **🟨 Yield in $ Formula** Potential Yield = (MCV * IR * ER * CR / 10^6) * ADS * Months --- **🟨 Yield Key Drivers** Identification Rate (IR), Engagement Rate (ER), Conversion Rate (CR), Average Deal Size (ADS), Monthly Chat Volume (MCV) --- **🟨 Yield Driver Definitions** Identification Rate (IR) This measures the success rate in identifying the company or organization associated with an abandoned chat. Engagement Rate (ER) This reflects the success in engaging the identified company's buying group or relevant contacts. Conversion Rate (CR) This metric indicates the proportion of leads that convert into customers. A higher conversion rate suggests a more effective engagement and follow-up strategy. Average Deal Size (ADS) This refers to the average revenue generated from each successful deal. Maximizing the average deal size is essential for increasing overall revenue, especially when the number of conversions is limited. Monthly Chat Volume (MCV) This is the total number of chats initiated on the platform in a month. --- </play>