Understand each metric and how to use it strategically

1. Ticket

The average ticket allows you to measure how much members spend on each transaction.

What it indicates

• Upselling capacity
• Potential for increased revenue

How to make decisions

If the average ticket for members is higher than that for non-registered customers, the program is generating value.
If it is low:
• Offer benefits for exceeding a certain amount
• Promote exclusive combos or packs for members

Possible strategy
Grant an additional benefit when the ticket exceeds a specific amount.

2. Transaction

The transaction metric reflects the addition and subtraction of points within the loyalty program.

What does it indicate?

• Program movement level
• Frequency of use
• Actual impact on sales

How to make decisions

If the number of transactions increases, the program is generating activity.
If it decreases, it may be necessary to reinforce incentives or communication. Just as it helps you review the dates on which the highest sales are being generated, it can be a key factor in decision-making.

Possible strategy

Launch temporary campaigns that grant additional benefits for each transaction made within a specific period.

3. Members

Represents the total active user base within the program.

What does it indicate?

• Community size
• Potential for commercial impact

How to make decisions

Analyzing the relationship between total members and active members allows us to detect levels of engagement.

Possible strategy

Create reactivation campaigns targeting members who have not interacted within a certain period.

4. Total

The total metric allows you to view the overall performance of the program in economic terms or in terms of activity in terms of number of transactions.

What does it indicate?

• Comprehensive impact of loyalty
• Performance evolution over time

How to make decisions

Comparing totals by period helps evaluate:

• Impact of campaigns
• Seasonality
• Effectiveness of promotional activities

5. New members

Indicates how many users register for the program in a given period.

What does it indicate?

• Recruitment capacity
• Effectiveness of acquisition campaigns
• Program visibility

How to make decisions

If new registrations are low:
• Improve the registration process
• Increase visibility at points of sale
• Encourage registration with immediate benefits
If there are many registrations but little subsequent activity, the focus should be on activation.

Possible strategy

Offer an exclusive benefit for new members that is only valid during the first few days after registration.

6. Branch

In businesses with multiple points of sale, metrics by branch allow you to compare performance between locations.

What does it indicate?

• Level of program adoption at each location
• Number of members per branch
• Differences in transactions and consumption

How to make decisions

Identifying underperforming branches allows you to:
• Strengthen training
• Adjust communication
• Implement internal incentives

Possible strategy: reward the best branch

An effective strategy is to create an internal ranking based on:
• Highest number of new members
• Highest transaction level
• Highest percentage of repeat customers
The branch with the best metrics can receive:
• Internal recognition
• Team incentives
• Additional benefits
This not only improves business results, but also boosts staff engagement.

7 – Distribution by generational stage

Linkcard Loyalty also allows you to view the distribution of members by generational stage, such as:
• Centennials
• Millennials
• Generation X
• Baby Boomers

Why it matters

Each generation has different behaviors and expectations:
• Centennials → greater response to digital and immediate benefits
• Millennials → value personalized experiences and rewards
• Generation X → prioritize practical and cumulative benefits

Strategic decisions

• If a younger generation predominates → strengthen digital benefits and mobile communication.
• If an older generation predominates → simplify processes and highlight direct savings.
Segmentation by stage allows messages and rewards to be tailored more accurately.

8 – Top 10 most recurring

The platform allows you to view the ranking of the most frequent members.

What does this data contribute?

• Identifies highly loyal customers
• Enables the detection of potential brand ambassadors
• Shows the ideal customer profile

Possible strategies

• Create exclusive benefits for the Top 10
• Give special rewards for loyalty
• Invite members to VIP experiences
• Request direct feedback
Recognizing the most frequent members strengthens the bond and encourages other members to reach that level.

9 – Top 10 highest consumption

This indicator shows the members who generate the highest economic volume within the program.

What it allows to detect

• High-value customers
• Potential for premium memberships
• Opportunities for advanced loyalty programs

Possible strategies

• Tiered benefit programs
• Premium memberships with additional perks
• Invitations to exclusive launches
• Personalized benefits
This group represents a key opportunity to increase the program’s profitability.

How to combine metrics for smarter decisions

The real value lies not in looking at each piece of data separately, but in cross-referencing them.
For example:
• Many new members + low recurrence → Activation problem
• High ticket + low transaction volume → Potential to increase frequency
• Branch with many members but low consumption → Opportunity to improve upselling
This cross-analysis allows for more accurate decisions.

Turning data into strategic culture

For metrics to have a real impact, it is advisable to:
• Review them periodically
• Define clear objectives for each indicator
• Communicate results to the team
• Adjust strategies based on trends
Linkcard Loyalty facilitates this centralized reading, allowing data to be available in real time and used as a strategic guide.

Conclusion

Linkcard Loyalty metrics offer much more than just numbers. They represent key information for understanding member behavior, optimizing the program, and making strategic decisions based on concrete data.
Analyzing transactions, new members, recurrence, consumption, average ticket size, and performance by branch allows you not only to improve loyalty, but also to drive sustainable business results.
When data is interpreted correctly, the loyalty program ceases to be an additional benefit and becomes a tool for growth.