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Proactive Support
Definition
Proactive support is reaching out to customers before they contact you — anticipating issues, questions, or opportunities and addressing them ahead of time, rather than only reacting to inbound tickets.
How it works
Proactive support uses signals — behavior, usage patterns, known issues, order status — to trigger outreach at the right moment. Examples include a message when a customer lingers on a checkout page, a heads-up about a shipping delay, a status-page update during an outage, or an in-app tip when someone hits a tricky feature.
It's often powered by triggers, behavioral rules, or scheduled automations that watch for a condition and fire a message across email, in-app, or the messaging widget.
Why it matters
Proactive support reduces inbound volume by solving problems before they generate tickets, and it builds trust — customers notice when a company gets ahead of an issue. Done well, it turns support from a cost center into a driver of retention.
AI and scheduled automation make proactive support scalable: an agent can watch for conditions across many customers and send the right, personalized outreach automatically instead of relying on a human to catch every signal.
Frequently asked
What is the difference between proactive and reactive support?
Reactive support responds after a customer reaches out; proactive support anticipates the need and reaches out first — before a ticket is ever created.
Does proactive support actually reduce ticket volume?
Yes, when targeted well. Getting ahead of predictable issues — delays, outages, common friction points — prevents the tickets those issues would otherwise generate.
Related terms
Incident Management
Incident management is the process of detecting, logging, and resolving unplanned disruptions to a service as quickly as possible, with the goal of restoring normal operation and minimizing impact on users..
Scheduled Agents
A scheduled agent is a Macha agent attached to a scheduled (cron-style) trigger, so it runs itself on a recurring interval — daily digests, periodic audits, routine checks — with no event or human needed to start it..
Triggers (Macha)
In Macha, a trigger is the event that wakes an agent up without anyone typing — a new ticket, a Slack mention, an inbound webhook, or a schedule.
Ticket Deflection
Ticket deflection is the share of customer questions resolved through self-service or automation before they ever become a human-handled support ticket..
Self-Service Rate
Self-service rate is the share of customer questions resolved through self-service resources — help center, FAQs, portals, or automation — without a customer needing to contact a support agent..
Put these ideas to work
Macha is an AI agent layer that sits on top of the help desk you already run — Zendesk, Freshdesk, Front, Intercom, or Gorgias.
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