Make every offer relevant
Segmentation & Targeting
Liquid Barcodes’ loyalty segmentation is the decision engine that determines who should see what—and when—across loyalty and subscriptions. It connects real purchase behavior, app activity and demographic data to enable your program to:
Maximize your return on investment—by directing every dollar to where it has the most impact.
Maximize member retention—by ensuring every communication and offer feels relevant.
Great c-store operators choose Liquid Barcodes
Why it works
EVERYTHING IN SYNC
One engine, everywhere.
The same targeting powers app content, coupons, games, subscriptions, push and SMS—so your message and mechanics stay in sync.

ALWAYS UP TO DATE
Dynamic and data-driven segments
Dynamic segments evaluate on a schedule and refresh membership automatically—this means your targeting is always up to date and based on the latest insights.

EFFICIENT BY DESIGN
Allocate your spend with precision
Focus benefits on members most likely to change behavior and dial back where spend won’t move the needle.

Simple when you need it. Precise when you want it.
Use quick filters in the campaign wizard (all members, by region or group, followers of a category/brand, one-by-one issue), or open the full segmentation builder for multi-condition logic with AND/OR, thresholds, and time windows. Import lists or trigger externally via API when required.
What you can target
Your segmentation & targeting can be dead simple or complex and detailed. It's all up to you. Here are just some of the data points you can build your segmentation around
Behavior & value — recency, frequency, spend, categories/SKUs, store/region
Program activity — coupons, stamp cards, games, surveys, points balance and burn
Subscriptions — status, lifecycle events (start, renew, upgrade/downgrade, cancel/stopped) and subscription usage
Context — app activity/inactivity, special group membership (students/employees/veterans), age verification, registration channel
Controls — frequency caps, quarantine windows, eligibility rules (store/state/age)
Powerful Use Cases
See how one targeting engine powers both loyalty and subscriptions—using real purchase behavior, app activity, and lifecycle signals.
Loyalty use cases (C-store & fuel)
Turn pump visits into store margin.
Target: Members with fuel purchases in the last 60 days but no foodservice purchases in the last 60 days
Content: Deliver the offer as a coupon, targeted stamp card, or game prize—then deep-link from push to redemption
Outcomes:
- Higher pump-to-store conversion rate
- Higher basket size
- Less discount waste
Reward the habits that drive frequency—without going generic.
Target: Identify heavy buyers by category/SKU thresholds within a time window (e.g., “7+ energy drink purchases in 6 months”)
Content: Run category-native mechanics: stamp cards, targeted coupons, or category-themed games.
Add “next best category” upsells (e.g., coffee + bakery) based on what they don’t buy yet.
Outcome:
- Higher visit frequency
- Stronger wallet share
- More relevant promotions
Put the right members in the right journey automatically.
Onboard: members registered in the last 30 days with no purchase yet → first-purchase nudges
Reactivate: no purchases (or no app sessions) in the last 30 days → time-boxed win-back offers.
Control fatigue with quarantine windows so members don’t re-enter the same flow too often.
Outcome:
- More active members
- Better retention
- Smarter spend on incentives
Create exclusive experiences—without manual lists.
Target: Special member groups like "Students", "Employees", "Military/Veterans"
Content: show group-only offers, games, or pages in the app.
Exclude non-eligible members automatically to avoid leakage and confusion
Combine group + behavior (e.g., “employees who buy coffee weekly”) for high-precision perks.
Outcome:
- Cleaner program rules
- Higher perceived value
- Easier operations
Subscription use cases (Car Wash)
Build the habit in the first days—before churn risk appears.
Target: Subscription started within the last 7 days
Content: Teach “how to use it”, how to find locations, what to expect at the site
Nudge the first wash with simple reminders and nearby-site relevance
Outcomes:
- Faster time-to-first-use
- Stronger early retention
- Fewer support tickets
Mitigate churn risk. Help them feel the value—without over-discounting.
Target: Active subscription + fewer than X uses in the last Y days (e.g., <2 uses in 30 days)
Content: Send “make it worthwhile” nudges and practical education (hours, locations, frictionless use)
Outcome:
- Higher usage health
- Lower churn
- More traffic to your locations
Protect margins and keep the relationship positive—without pushing “use more.”
Target: Active subscription + usage above a set threshold (e.g., 8+ uses in 30 days)
Content: Switch messaging from “wash more” to appreciation and engagement.
Cross-sell into in-store categories (coffee, snacks, interior products) instead of wash incentives
Outcome:
- Protected margins
- Stronger loyalty
- More total value per subscriber
Catch churn early and make restarting easy.
Target: Cancelled subscription within the last X days (e.g., 7 days)
Content: Run delayed win-back waves (not instant spam): restart offers, plan-specific messaging, short surveys.
Target messaging variant by prior plan, usage pattern, and reason signals.Outcome:
- Higher restart rate,
- Better insight into churn drivers
- More predictable revenue
Target the right customers. Get better results.
Build live segments from purchase and engagement data—then automatically deliver the right offers, rewards, and messages to each audience.
Self-updating segments (no manual lists)
Personalization for loyalty + subscriptions
Less discount waste, higher retention



