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Marketing Academy · Field Work●AI in Marketing
MiniAudit· 20 minutes

Fix the Trigger: Auditing When a Chatbot Fires

MapmyIndia (CE Info Systems)

Objective: Given a real chatbot trigger configuration and a page-by-page visitor behavior log, decide which pages should get an intent-based chat trigger, which should stay silent, and which trigger rule is actively driving visitors away.

You're auditing the chat widget setup at MapmyIndia (CE Info Systems), the digital mapping and geospatial SaaS company, after a support ticket flagged 'the bot won't stop popping up.'

Score each page's current trigger rule against the lesson's intent-vs-browsing test, and flag which rule is causing the bounce spike.

Before you start

What you'll need

Free path (everything below is enough to finish)

FreeLog each page's trigger rule and intent verdict

No account friction, a four-row table is enough for the audit

The process

1 step

Step 01 of 01

Triggering chat on buying-intent behavior, never on page arrival

The lesson's rule: trigger on buying-intent behavior (time on pricing page, return visits), never on arrival; a visitor scrolling a blog post is browsing, not deciding.

Four current trigger rules: (1) homepage, fires on page load; (2) blog post pages, fires after 5 seconds; (3) pricing page, fires after 60 seconds on page; (4) demo-request page, fires on exit intent. Which rules should stay, which should change, and which one is the most likely source of a bounce-after-chat spike?

Google Sheets— A four-row trigger audit sheet: page, current trigger, intent signal present, verdict.

Procedure

  1. List each page's current trigger rule
  2. Mark whether the page shows a buying-intent signal (time-on-page threshold, return visit) or just arrival
  3. Flag any rule firing on arrival or a flat short timer as 'change to intent-based'
  4. Identify the single highest-risk rule for a frustration-driven bounce
Sample output
MapmyIndia trigger audit (4 rows)

Page              Trigger              Intent signal?  Verdict
Homepage          On page load          No              CHANGE (kill on-load trigger)
Blog posts        5-second timer        No              CHANGE (browsing, not deciding)
Pricing page      60s on page           Yes             KEEP
Demo-request page Exit intent           Yes (near-decision) KEEP

Highest-risk rule: Homepage on-load trigger, replaces browsing with an obligation to respond on the highest-traffic page.

Healthy

Pricing and demo-request triggers stay as-is; homepage and blog triggers get flagged for change to an intent threshold.

Unhealthy

Leaving the homepage on-load trigger in place because it generates the most total chat opens.

What this means

Total chat opens is a vanity number if most of them are unwanted interruptions; the fix is matching the trigger to intent, not maximizing trigger frequency.

So what do I do about it?

SymptomActionEffort
Homepage or blog pages fire chat on arrival or a flat short timerReplace with a buying-intent threshold, e.g. 45-60s dwell time or a return visit30 min
YouYou can do this yourself, no engineering access required.

Final deliverable

A four-row trigger audit with a keep/change verdict per page and the single highest-risk rule identified.

See a reference example
Sample output
RateGain trigger audit (excerpt)

Page             Trigger        Verdict
Homepage         On page load   CHANGE
Pricing page     45s dwell      KEEP

Success criteria

You're done when you can:

  • Correctly flags arrival-based and flat-timer triggers for change
  • Correctly keeps intent-based triggers
  • Identifies the single highest-risk rule