Customer activity is useful when it leads to a clear next action. Use activity signals to decide who to contact, what to say, and what task or journey should happen next.

What this guide helps you do

• Read activity signals across the customer timeline.
• Create tasks, notes, email drafts, journey starts, or pipeline updates from recent activity.
• Use AI to prioritize follow-up while staying in review control.

Before you start

• Open the customer record and review recent timeline events.
• Know which signals matter for your business, such as form submissions, opens, replies, bookings, invoices, or course progress.
• Check consent and communication preferences before outreach.

Do it manually

1. Open the customer record.
2. Filter the timeline to the activity type or date range you need.
3. Identify the next business action, such as call, email, quote, booking, reminder, or journey enrollment.
4. Create a note or task tied to the activity.
5. Draft an email or update the pipeline only after reviewing the context.
6. Mark work complete when the follow-up happens.

Ask Faster AI

• Review recent activity for this customer and suggest the top three follow-up actions.
• Create tasks for customers who submitted a form but have not received a reply. Show me the list first.
• Draft a customer email using recent activity, but keep it as a draft for review.

Review before saving or applying

• Do not treat every activity as consent to send marketing messages.
• Check whether another teammate already followed up.
• Use internal notes for private context and customer-facing drafts for messages.

Common issues and fixes

• If activity is old, look for newer context before reaching out.
• If several actions compete, prioritize based on due date, value, customer impact, and owner.
• If AI suggests outreach that feels too personal, ask it to use less detail and keep the tone practical.

Customer 360 overview

For examples of turning quotes, completions, quiet accounts, and recent activity into the next action, read the Customer 360 overview. Customer 360: Every Interaction on One Timeline.

First visit to loyal member

For examples of using visit, booking, payment, and engagement signals to decide the next follow-up, read the wellness studio growth article. Growing a Wellness Studio: From First Visit to Loyal Member.

Referral systems for local businesses

For how happy replies, repeat bookings, reviews, and anniversaries become practical referral triggers, read the referral strategy article. Referral Strategies for Local Businesses That Don't Feel Awkward.

Win-back customer journeys

For a simple reactivation example that turns quiet customer activity into a three-email journey, read the win-back article. Win Back Lapsed Customers with Three Emails.

Meeting-to-follow-up loop

For how long-tail meeting promises should fire from customer activity instead of memory, read the meeting-to-follow-up article. From Meeting to Follow-Up: AI Closes the Loop.

Connected workflows

• Review Money activity for a customer
• Create a welcome journey
• Create a lead capture form

Placeholder media

• Screenshot placeholder: add an annotated screenshot of use customer activity for follow-up with customer names, emails, phone numbers, amounts, file names, and private notes blurred.
• Video placeholder: add a short walkthrough that starts in Customers, shows the manual path, then shows how to ask Faster AI and review the result before saving, sending, merging, or assigning work.

Related help

• Filter the customer timeline
• Create customer tasks and reminders
• Compose customer email from a record