C-store loyalty programs in 2026: why only 38 percent of customers use them, and what the top 20 percent do differently.

The 2025-2026 honest reality on c-store loyalty

Industry data over the last 3 years reveals a pattern most independents do not want to hear:

• Only 38 percent of c-store consumers say they use loyalty most of the time (Intouch Insight 2025).
• The average c-store adds 36 new loyalty members per store per month, vs 110 for top QSRs (CSN Operator Forum data).
• Active members (those who actually swipe in a given month) typically run 25 to 35 percent of enrolled members.
• Top 20 percent of active members generate 67 percent more spend per visit than the non-loyalty average.

Read together: most c-store loyalty programs have huge enrollment numbers, modest active rates, and outsized value concentrated in a small segment. The opportunity is not more enrollment. The opportunity is better targeting of the active top.

Why most c-store loyalty programs underperform

The three patterns that show up in failed or underperforming programs:

Pattern 1: enrollment-focused, not engagement-focused

Marketing measures success by total enrolled members. Cashiers get bonuses for sign-ups. The program celebrates crossing 50,000 enrolled. Meanwhile, 70 percent of those members have not used the program in 90 days and the active rate is dropping.

Pattern 2: one-size-fits-all offers

Every member gets the same offer: 5 cents off per gallon, or a free coffee at 10 stamps. The high-frequency / high- spend customer was going to buy anyway and gets a discount. The low-frequency / low-spend customer receives an offer they will not act on. Net effect: the program discounts the most profitable customers without moving the least engaged.

Pattern 3: no segmentation

The program tracks total members and total redemptions but does not segment by behavior. The top 20 percent and the bottom 20 percent are mixed in the same metric. The result: average performance hides the wide spread, and the bottom-quartile drag pulls the perceived ROI down.

Step 1: find the top 20 percent

From your loyalty data, calculate for each active member:

• Visit frequency (visits per 30 days)
• Average basket size
• Fuel + inside total spend per 30 days
• Foodservice attach rate
• Days since last visit

Rank by 30-day total spend. The top 20 percent is your first segment. Call them "Champions." They produce most of the program's incremental value.

Then segment the remaining 80 percent by visit frequency and average basket size into:

• High-frequency / low-basket (the coffee or single-drink customer)
• Low-frequency / high-basket (the weekly fuel + grocery customer)
• Low-frequency / low-basket (the convenience visitor)

Step 2: build per-segment offers

Champions (top 20 percent)

These customers are already loyal. Do not discount their normal behavior; reward their volume.

• Birthday gift (free coffee, free roller grill)
• Tiered status (top 10 percent gets a permanent extra discount on fuel)
• Early access to new SKUs or promotions
• Free upgrades (size up coffee, free hot dog with combo)

Goal: protect frequency, drive incremental basket size, cement preference vs the competitor across the street.

High-frequency / low-basket

These customers come in often (3+ times a week) but spend $4 to $8 per visit. Coffee, single drink, snack.

• Foodservice attach offers (free coffee with breakfast sandwich purchase)
• Bundle deals that grow basket size by $2 to $4
• Punch-card style: 10 coffees, get 1 free + size upgrade

Goal: increase basket size from $5 to $8 to $10.

Low-frequency / high-basket

These customers come once a week or every 10 days but spend $40+ when they do. Often: weekly fuel customer who also grabs groceries.

• Frequency-driven offer: come 5 times in 30 days, get a $5 reward
• Targeted SMS or push on a typical visit day to remind them
• Fuel discount that requires inside purchase

Goal: increase visit frequency from 4 visits/month to 6 to 8 visits/month.

Low-frequency / low-basket

These customers visit infrequently and spend little. Often non-locals or one-off convenience visits.

• Do not subsidize these customers
• Welcome offers when they enroll but no ongoing discount
• Re-engagement campaign after 60 days (Shopify data: SMS win-back at 60 to 75 days delivers 118 percent higher conversion vs random outreach)

Goal: convert into one of the higher-value segments or let them lapse cleanly without subsidizing their already- low spend.

Step 3: measure the right metrics

Most c-store loyalty dashboards measure the wrong things: total enrolled, total redemptions, redemption rate. These are activity metrics, not outcome metrics. Replace with:

• Active member rate: members who swiped in the last 30 days / total enrolled. Target 35 to 50 percent for a healthy program.
• Visit frequency lift: visit frequency of active members vs comparable non-members.
• Basket lift: average basket size of active members vs non-members on same visit type.
• Margin per member per month: gross margin from active members divided by their count. Compare to non-member margin per visit.
• Top 20 percent spend share: what percent of program revenue comes from the top 20 percent. Should be 60 to 80 percent (classic Pareto).

Step 4: cut the unprofitable mix

After segmentation, some members are net unprofitable: the offer they redeem costs more in margin than their incremental visit contributes. Common culprits:

• Free coffee redemptions by customers who would buy coffee anyway
• 5 cents off per gallon to customers who only buy gas (no inside attach)
• Members who only visit during heavily-discounted promo periods

Pull these customers out of the discount mix. Either change their offer (different discount that requires attach) or accept that they will lapse from the program and focus the spend on segments that move.

Step 5: choose the right mechanic for your scale

Not every operator needs an app. The right mechanic depends on your scale, your tech budget, and your customer demographics. We cover the app vs SMS vs punch card decision in detail in a separate article. The short version:

• 1 to 4 stores: punch card or SMS
• 5 to 20 stores: SMS plus simple app
• 20+ stores: app with full personalization

What top operators do differently

7-Eleven, Wawa, Sheetz, TXB, and Maverik are the benchmark on c-store loyalty. The patterns they share:

• Tier system: visible status (silver/gold/platinum) drives engagement
• Personalized offers: each customer sees offers based on their behavior, not the same offer to everyone
• Mobile-native: app drives 60+ percent of program engagement
• Pump-to-store cross-incentives: fuel discount that requires inside purchase
• Foodservice integration: free coffee, free hot dog, foodservice combos
• Birthday and anniversary moments that drive incremental visits

Most of these require an app or at least SMS infrastructure. Some can be approximated with a well-designed punch card.

The 4 honest questions to ask before launching or scaling a program

1. Do I have data to segment?

Without POS-integrated loyalty data tied to customer IDs, you cannot segment. Without segmentation, you are running a discount program, not a loyalty program. Fix the data plumbing first.

2. Can I deliver personalized offers?

A program that sends the same offer to every member is a coupon program. Personalization requires either an app or a triggered-SMS system. If you cannot deliver personalized offers, build a much simpler program (punch card) instead.

3. Can I afford to lose the bottom 20 percent?

Cutting the unprofitable mix means some lapsed members. That is the goal. Operators who refuse to lose any member end up subsidizing the bottom and starving the top.

4. Will I review the program quarterly and adjust?

Loyalty is not set-and-forget. Behavior shifts, segments evolve, offers wear out. Operators who review quarterly and adjust hit 4 to 8x ROI. Operators who set and forget drift to flat to negative ROI within 18 months.