B2B Team & User Flow Inspiration

ABM Engagement & Nurturing For Existing Accounts

A personalized engagement and nurturing program for existing customer accounts, using AI to tailor content and touchpoints to drive retention and expansion.
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This workflow focuses on engaging and nurturing existing customer accounts in the Retention stage. It uses inputs like account usage data, engagement metrics, and customer profile information to personalize ongoing communications. The outputs are tailored content and touchpoints (such as tips emails, feature updates, event invitations, or upsell suggestions) delivered through multiple channels to keep the account engaged and encourage expansion. Key steps include a trigger based on a customer lifecycle event or health score, AI analysis of account data to determine relevant outreach, AI-generated personalized content (emails, in-app messages), automated multi-channel delivery, and continuous monitoring by an AI agent to adjust the strategy or prompt human customer success intervention if needed.

Who this Agentic Workflow Is For

For Product Marketers and GTM Teams

Customer experiences

Get ideas for agent-powered experiences that help prospects, users, customers, and partners discover, evaluate, and get value from your product.

Team workflows

Find new ways to improve the internal workflows your team uses to launch, position, sell, support, and grow those experiences across marketing, sales, growth, and success.

For Product Builders

Customer experiences

See examples of agent experiences you can build for prospects, users, customers, and partners.

Team workflows

Discover team workflows you can turn into internal agents, automations, and tools that save time and reduce manual work.

For Teams Focused on the Retention Stage

Customer experiences

Find ideas for better experiences during the Retention stage of the buyer or customer journey.

Team workflows

Explore internal workflows that help your team support that stage more effectively.

Make it Yours

Use this example as a starting point, not a fixed recipe.

Copy the flow above as a prompt, markdown, skill, or mermaid diagrom. Adjust the steps, tools, agent and human involvement to fit your real workflow. Then test where users actually get value or drop off.

Trigger: Customer Lifecycle Event Trigger
1
Initiates when a retention or expansion-related event occurs (e.g., customer reaches 90 days post-onboarding, or usage drops indicating a churn risk, or a new feature is released that might interest the account).
Trigger Trigger Event
Retrieve Account Data
2
Automatically gather the latest account information: product usage statistics, feature adoption, support ticket history, and any customer satisfaction scores from internal systems.
Tool Call
Uses: Customer Success Platform, Product Analytics
Analyze and Plan Engagement
3
AI analyzes the collected data to assess the account's health and identify opportunities. It then generates a personalized engagement plan (e.g., which content or offers will best resonate to drive more value or an upsell).
LLM Call Document
Uses: LLM, OpenAI, Anthropic, Google Gemini

Prompt

Given the following customer data [Account usage, recent activities, support feedback], assess the customer's status and suggest an engagement plan. Include one or two recommended actions, such as a useful tip about a feature they haven't tried, a relevant case study or webinar invite, or an upsell opportunity that fits their usage.

Draft Nurture Email
4
AI creates a tailored email for the account, for example, highlighting a feature they might find useful based on their usage history, and providing tips or a resource to drive further engagement.
LLM Call Email
Uses: LLM, OpenAI, Anthropic, Google Gemini

Prompt

Write a personalized email to [Account Name]'s team. Start by thanking them for their ongoing use of [Product Name], mention a specific milestone or usage stat (e.g., X projects completed or Y users onboarded), then introduce a feature or resource that they haven't utilized yet but could provide value. Encourage them to try it out or reach out for help, and maintain a helpful, encouraging tone.

Draft In-App Message
5
AI drafts a concise in-app notification that the customer will see when using the product, reinforcing the same tip or feature mention from the email in a quick, attention-grabbing format.
LLM Call In-App Message
Uses: LLM, OpenAI, Anthropic, Google Gemini

Prompt

Create a short in-app message for [Account Name] that congratulates them on their success with [Product] so far (mention a specific achievement), and suggests they try [Feature X] to get even more value. Keep it brief and friendly, with a clear call-to-action button like 'Learn More' or 'Try Now'.

Multi-Channel Delivery
6
Send out the personalized email through the email marketing system and schedule the in-app message to display at the next login. Ensure both touchpoints are tracked for engagement.
Tool Call
Uses: Email Automation Platform, In-App Messaging System
Monitor Engagement
7
An AI agent monitors how the account interacts with these touchpoints (email opens/clicks, in-app message engagement, subsequent feature usage) to measure the effectiveness of the outreach.
Agent
Uses: Analytics Dashboard
Adjust or Escalate
8
Based on the engagement data, the AI agent adjusts the nurturing strategy or triggers a human follow-up. For example, if the customer engaged with the content, the agent might schedule the next relevant touch (like a webinar invite); if not, it could alert a Customer Success Manager to reach out personally.
Agent
Uses: Customer Success Alert
Customer Success Manager Handoff
9
If flagged (e.g., low engagement or upsell readiness), a Customer Success Manager is notified to personally intervene, such as scheduling a check-in call or a tailored product demo for the account.
Human Action

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