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TabTake
Customer Analytics

Understand What Keeps Customers Coming Back

Turn first-party ordering and visit data into clear insights about customer frequency, spending, product preferences, ordering channels, and restaurant locations with TabTake.

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Use one connected dashboard to understand customer behaviour and identify practical opportunities across menus, promotions, loyalty, and service.

Customer TrendsUnderstand how customer activity changes over time.
Repeat BehaviourCompare first-time, occasional, and returning customers.
Product PreferencesSee which products and categories different customers order.
Multi-Location InsightsCompare customer activity across restaurant branches.

Connected Customer Insights

One View of Customer Activity Across TabTake

TabTake connects customer profiles, orders, channels, products, promotions, loyalty activity, and restaurant locations to create a clearer view of customer behaviour.

TabTake Customer Analytics
Customer CRM
Online Ordering
Order Dashboard
Menu Products
Promotions
Loyalty
Ordering Channels
Restaurant Locations
At a Glance

See Your Customer Activity Clearly

Review the key customer indicators that help restaurant teams understand current ordering and visit behaviour.

  • Total identified customers
  • New customers
  • Returning customers
  • Active customers
  • Order frequency
  • Average order value
  • Customer-order count
  • Selected date range
  • Location filter
  • Channel filter
  • Previous-period comparison where supported
Customer Growth

Understand Who Is New and Who Returns

Compare first-time customers with people who have ordered or visited again during the selected period.

  • First-time customers
  • Returning customers
  • Repeat-order activity
  • Customer growth over time
  • Channel comparison
  • Location comparison
  • Monthly or weekly trend
  • Order frequency
  • Most recent activity
  • Previous-period comparison where supported
Repeat Behaviour

See How Often Customers Order

Group customers by ordering frequency so restaurant teams can understand the balance between occasional and frequent customers.

  • One-time customers
  • Occasional customers
  • Regular customers
  • High-frequency customers
  • Days since last order
  • Orders per customer
  • Frequency by channel
  • Frequency by location
  • Date-range filtering
  • Segment size
Order Value

Understand Customer Spending Patterns

Review order values and spending trends without relying only on overall restaurant revenue totals.

  • Average order value
  • Total customer spend
  • Orders per customer
  • Highest-value customer segment
  • Spending by channel
  • Spending by location
  • Collection versus delivery value
  • Promotion-adjusted totals where supported
  • Selected-period comparison
  • Product contribution
Menu Insights

Discover What Customers Order Most

Identify frequently ordered products, categories, modifiers, and combinations across customer groups.

  • Popular products
  • Popular categories
  • Product quantity
  • Product revenue contribution
  • Repeat-product orders
  • Modifier popularity
  • Meal or bundle performance
  • Channel-specific preferences
  • Location-specific preferences
  • Date-range comparison
Channel Behaviour

See How Customers Prefer to Order

Compare customer activity across supported TabTake ordering and service channels.

  • Online Ordering
  • Collection Orders
  • Delivery Orders
  • QR Table Ordering
  • Dine-In
  • Channel-order volume
  • New customers by channel
  • Returning customers by channel
  • Average order value
  • Preferred channel
  • Channel trends over time
Time-Based Insights

Understand When Customers Place Orders

Review customer activity by day, service period, and time to identify recurring patterns.

  • Orders by hour
  • Orders by weekday
  • Breakfast, lunch, and dinner periods
  • Peak ordering times
  • Collection peaks
  • Delivery peaks
  • QR ordering periods
  • Customer frequency by time
  • Branch comparison
  • Date-range filtering
Useful Groups

Create Clear Customer Segments

Group customers using transparent ordering and engagement criteria that restaurant teams can understand.

  • New customers
  • Returning customers
  • Frequent customers
  • High-order-value customers
  • Recently active customers
  • Inactive customers
  • Collection customers
  • Delivery customers
  • QR ordering customers
  • Loyalty members where connected
  • Promotion users where connected
  • Location-specific groups
Engagement Insights

Understand How Customers Engage with Offers

Review supported promotion and loyalty activity alongside customer ordering behaviour.

  • Promotion redemptions
  • Loyalty participation
  • Reward usage
  • Orders with promotions
  • Repeat activity after an offer
  • Average order value with an offer
  • Segment engagement
  • Location comparison
  • Channel comparison
  • Campaign period filtering
Order History

Review the Customer Journey Across Orders

Give authorised users a structured view of customer interactions and restaurant orders.

  • First order date
  • Most recent order
  • Order history
  • Ordering channel
  • Restaurant location
  • Products ordered
  • Promotion usage
  • Loyalty activity
  • Reservation history where connected
  • Customer notes where authorised
  • Status and fulfilment history
Multi-Site Analytics

Compare Customer Activity Across Locations

Review customer behaviour separately for each branch while maintaining a central group-level overview.

  • Customers by branch
  • New customers
  • Returning customers
  • Average order value
  • Preferred channel
  • Popular products
  • Order frequency
  • Promotion activity
  • Loyalty activity
  • Location trends
  • Date comparison
  • Branch filters
Focused Reporting

Explore the Data That Matters to Your Team

Filter customer analytics by relevant periods, locations, channels, products, and segments.

  • Date range
  • Restaurant location
  • Ordering channel
  • Customer segment
  • Product category
  • Promotion
  • Loyalty participation
  • Fulfilment type
  • Previous-period comparison
  • Saved view where supported
  • CSV or report export where supported
  • Scheduled reports only if implemented
Responsible Access

Keep Customer Insights Available to Authorised Teams

Use role-based access and privacy-aware presentation for customer analytics and identifiable records.

  • Role-based analytics access
  • Location-based permissions
  • Aggregate reporting
  • Masked customer details
  • Restricted profile access
  • Data export permissions
  • Activity records where supported
  • Customer-data deletion workflow where supported
  • Consent status where collected
  • Privacy information links

How It Works

From Customer Orders to Practical Insights

  1. Step 1

    1. Customers Place Orders

    Customers use supported TabTake ordering and visit journeys.

  2. Step 2

    2. TabTake Connects Supported Activity

    Available customer, order, product, and location activity is connected.

  3. Step 3

    3. Data Is Organised by Customer and Channel

    Supported activity is grouped using clear definitions.

  4. Step 4

    4. Trends and Segments Are Calculated

    Aggregated indicators and transparent groups become available.

  5. Step 5

    5. Restaurant Teams Explore Insights

    Authorised teams filter dashboards and supported reports.

  6. Step 6

    6. Teams Apply Findings

    Insights support menu, service, loyalty, and promotion decisions.

Start Using Customer Analytics

Connect supported customer activity, choose meaningful indicators, and configure responsible access before exploring insights.

STEP 1

Connect Customer Activity

Use supported ordering, reservation, loyalty, and promotion data within TabTake.

STEP 2

Choose Your Metrics

Focus dashboards on the customer, channel, product, and location indicators relevant to your team.

STEP 3

Configure Access

Give authorised roles and restaurant locations the correct analytics permissions.

STEP 4

Review and Apply Insights

Use filters and reports to support menu, service, loyalty, and promotion decisions.

Built for Customer Insight

Customer Analytics for Different Restaurant Models

Independent Restaurants

Understand local customer frequency, favourite products, and ordering habits.

Takeaways

Compare collection and delivery customers, peak times, and repeat ordering.

Cafés and Bakeries

Review visit frequency, daypart activity, and popular products.

Fast-Casual Restaurants

Analyse ordering channels, product customisation, and repeat-customer behaviour.

Ghost Kitchens

Compare customer activity across food concepts, channels, and fulfilment types.

Multi-Location Brands

Compare customer trends and preferences across every restaurant branch.

Common Questions

Customer Analytics FAQs

TabTake can use supported first-party order, channel, product, location, promotion, loyalty, and reservation activity available within the platform.

Turn Customer Insights into Restaurant Growth

Connect customer reporting with CRM, promotions, loyalty, ordering, and restaurant operations.

Customer CRM

Organise supported customer records and activity.

Explore product

Promotions

Connect offer engagement with customer ordering behaviour.

Explore product

Loyalty

Review supported loyalty participation and reward activity.

Explore product

Multi-Location Management

Compare customer insights across restaurant branches.

Explore product

Online Ordering

Connect first-party ordering activity with customer insights.

Explore product

Delivery Orders

Compare supported delivery behaviour and order value.

Explore product

Order Dashboard

Connect operational order activity with customer reporting.

Explore product

Ready to Understand Your Customers Better?

Turn restaurant ordering and visit activity into clear customer insights with TabTake.

Book a DemoView Pricing

No obligation. Talk through your restaurant setup with our team.