Pulse Insights Playbook

Turn Store Pages Into Visit Drivers

Store pages represent peak purchase intent. Users who navigate to a specific store location aren't browsing—they're planning a visit. Yet most store pages bury essential information or miss it entirely.

Pulse Wayfinding Agent detects what information users need on store pages and surfaces it immediately—reducing friction and converting digital interest into foot traffic.

Average result: 15-30% reduction in store page exits, higher engagement with directions and contact actions.

How It Works

Detect → Information-seeking signals (time on page without interaction, scrolling patterns, exit intent, arrival from specific queries)

Diagnose → One contextual question identifies what they need ("Looking for store hours?")

Intervene → Surface specific information from your store data (hours, services, directions, contact)

The research process finds what information already exists in your store database but isn't visible when users need it.

The Big 3 Friction Patterns

1. Store Hours Uncertainty

The most common store page query.

Signals: Time on page near hours section, arrival from "hours" search query, repeated visits to same store, exit without interaction

Question: "Looking for store hours?"

What we surface from your site:

  • Standard hours from your database ("Open today: Mon 9AM-9PM. Tomorrow: 9AM-9PM")

  • Holiday hours you've flagged ("Holiday hours this week: Christmas Eve 9AM-6PM, closed Christmas Day")

  • Special circumstances you've noted ("Modified hours due to staffing—updated Dec 15")

Expected lift: 25-35% reduction in hours-related exits

2. Service/Amenity Confusion

Users need stores with specific capabilities.

Signals: Arrival from service queries ("curbside pickup," "returns," "pharmacy"), time without clear action, comparison of multiple stores

Question: "What service do you need?"

What we surface from your site:

  • Available services from your store flags ("This store offers: ✓ Curbside pickup ✓ In-store returns ✓ Pharmacy")

  • Specific service details from your data ("Curbside available—park in spots 1-4, use app to notify")

  • Alternative locations if unavailable ("This location doesn't have pharmacy. Nearest with pharmacy: [filtered store link]")

Expected lift: 30-40% reduction in service-related uncertainty

3. Getting There / Directions Friction

Mobile users want one tap to their maps app.

Signals: Mobile user on store page, time near address/map section, exit without engagement, scrolling past map

Question: "Need directions?"

What we surface from your site:

  • One-tap directions using your address data ("Get directions" button opens native maps app)

  • Parking information if you provide it ("Park in north lot. Free parking. Entrance on Main St side")

  • Transit details if available ("Accessible via Red Line. 5-minute walk from Central station")

Expected lift: 40-50% increase in directions engagement

Five More High-Impact Patterns

Contact/Call Before Visiting
Scrolling for phone number or exit suggesting uncertainty. We surface one-tap calling with your store phone, best contact method, or department routing if you provide it.

In-Stock / Product Availability Questions
Arrival from product pages or inventory queries. We surface your inventory checking tool if available, or route to phone with clear expectations about checking stock.

Return/Exchange at This Location
Arrival from order pages, "return" searches. We surface your return acceptance flags per store, process details if provided, or nearest alternative if not available.

Store-Specific Events/Promotions
Looking for event details after email/ad. We surface current promotions or upcoming events from your store calendar if you maintain one.

Parking & Accessibility Information
Exit patterns near map section. We surface parking details, accessibility features, or landmark guidance from your store data if available.

How Interventions Are Built

The research process:

  1. Analyzes your store database - Hours, services, addresses, phone numbers, amenities

  2. Identifies available information - What exists but isn't prominently displayed

  3. Maps to friction signals - Which information answers which user need

  4. You review and approve - Every intervention uses your data, voice, policies

Nothing is generated that doesn't exist in your store system. We surface the right information at the right time.

What Makes This Different

Proactive - Surfaces information before users hunt or exit
Action-oriented - One-tap directions, calling, tools you already have
Your data - Every answer from existing store information

Measurement

  • Exit rate reduction - Fewer users leaving without taking action

  • Action engagement - Tap-through on directions, calling, service links

  • Call deflection - Reduction in "are you open?" or "do you have X?" calls

Store information already exists—hours, services, contact, directions. It's just not visible when users need it most.