Loyalty Programs

When to swap a points program for prepaid credits: a profitability checklist for subscription and one‑time purchase sme

When to swap a points program for prepaid credits: a profitability checklist for subscription and one‑time purchase sme

I often get asked by founders and marketing heads whether they should keep their familiar points-based loyalty scheme or move to a prepaid credits model. It's a common dilemma for SMEs running subscription products or selling one-off purchases. I’ve seen both systems work — and fail — depending on product margins, purchase frequency and how easily customers understand the value exchange. In this post I’ll walk through a practical profitability checklist I use to decide when swapping points for prepaid credits makes sense, with the metrics and experiments you can run before you commit.

Why the choice matters

Points programs are popular because they feel generous, are flexible, and can be gamified. But they also introduce complexity: breakage assumptions, tricky accounting, and often low perceived cash value. Prepaid credits (store credit, digital wallets or gift-balance models) convert loyalty into a simpler, cash-equivalent instrument that can improve redemption clarity, retention and cash flow — if done right.

From a profitability perspective, the choice affects three levers:

  • Perceived value — Do customers understand what they get and how much it’s worth?
  • Breakage and liability — How much of the issued reward will go unredeemed?
  • Behavioral impact — Does the reward drive the desired actions (repeat purchases, higher AOV, longer subscriptions)?
  • When prepaid credits typically outperform points

    Switch to prepaid credits when several of the following are true for your business:

  • High purchase frequency or predictable cadence: If customers buy regularly (subscriptions, consumables), prepaid balances act like a stored wallet that increases lifetime value and usage velocity.
  • Low average order value (AOV) but high margin on incremental purchases: Credits encourage smaller, more frequent purchases and can be combined with minimum spend rules to increase AOV.
  • Confusion or low perceived cash value from your points: If customer support questions about point-to-cash conversions are common, credits reduce friction and complaint handling.
  • Accounting simplicity is a priority: Prepaid credits are easier to track as cash-equivalents versus complex point breakage modeling, especially for SMEs without large finance teams.
  • Desire to improve cash flow: Selling prepaid bundles (e.g. “Buy £50 credit for £45”) brings revenue upfront and locks in future spend.
  • When to keep points (or hybrid)

    Points still win when you want to:

  • Create long-term aspirational rewards: Points that unlock experiential or high-value tier rewards encourage big bets on loyalty.
  • Segment rewards precisely: Points allow fine-grained earning and redemption rules per product, campaign, or channel.
  • Run gamified campaigns: Points provide psychological levers — streaks, badges, tiers — that can be harder to replicate with pure prepaid credits.
  • Profitability checklist: data you need

    Before you decide, run this checklist. Collect the numbers, run simple scenarios and use the thresholds I outline as rules of thumb. These are not universal but are practical starting points.

    Metric What to measure Rule-of-thumb threshold
    Repurchase frequency (30/90/365-day) Percentage of customers who buy again within time windows Retention > 30% at 90 days → credits likely beneficial
    Average order value (AOV) Mean transaction value for loyalty customers vs non-loyal AOV < £40 and margin > 40% → credits to drive volume
    Gross margin on incremental sales Contribution margin on purchases driven by loyalty Incremental margin > cost of credits (incl. discounts) → positive
    Breakage rate Share of issued points/credits never redeemed Points breakage > 40% often masks poor perceived value
    Customer support load Queries per 1k customers about points issues High support load → credits to reduce friction
    Liability on balance sheet Outstanding points value vs revenue Liability > 5% of revenue → revisit program design

    Quantify the economics: a simple model

    Build a one-page P&L for your loyalty mechanics. Key inputs:

  • Number of customers enrolled
  • Average credits issued per customer per month
  • Estimated redemption rate (for points) vs observed redemption for credits
  • Incremental revenue uplift from redeemed credits (and any uplift on top of baseline purchases)
  • Cost of goods sold for incremental purchases + any administrative or tech costs
  • Example: 10,000 customers, each receives £1 equivalent per month. If credits drive a 15% uplift in purchase frequency and incremental margin on that uplift is 50%, the program can be profitable even if redemption is high because each redemption generates gross margin. With points, perceived value may be lower, meaning you might issue more points to get the same behavioral lift — increasing liability without equivalent benefit.

    Design considerations when swapping to credits

    If the checklist points you toward credits, be mindful of these design choices to protect margin and customer trust:

  • Clear equivalence: Make the value explicit — “£5 credit” beats “500 points” in clarity.
  • Expiry policy: Use reasonable expiries (12–24 months) and communicate proactively. Short expiries frustrate customers; too long creates large liabilities.
  • Redemption rules: Consider partial-pay (credits + card), minimum basket thresholds and exclusions on certain SKUs to protect margins.
  • Top-up bundles: Offer paid prepaid bundles (e.g. buy £100 credit and receive a 5% bonus) to lock cash upfront and segment engaged buyers.
  • Reporting and tagging: Track redemptions as distinct event types so you can measure uplift, cannibalisation and retention impact.
  • Tests you can run before a full switch

    Don’t flip the switch overnight. Run controlled experiments:

  • Segment test: Offer a prepaid credits pilot to a cohort and keep points for a control group. Measure repurchase rate, AOV, churn and customer satisfaction over 3–6 months.
  • Value clarity A/B: Present identical reward value as “points” versus “£x credit” to test perceived value and conversion.
  • Bundle promotion test: Run a limited-time top-up bundle to measure take-rate and lifetime incremental spend.
  • Support & ops run-through: Simulate refunds, exchanges and expired credits to ensure processes are robust.
  • When I help clients make this change, the most common mistake I see is under-estimating communication effort. Customers need to understand the shift, the benefits and any conversion rates if you migrate existing points to credits. Be transparent, offer conversion bonuses when relevant, and provide customer-facing examples ("£10 credit buys X").

    If you want, I can share a simple spreadsheet template to model your numbers and run these scenarios. It’s the easiest way to see whether credits improve your bottom line or simply shift the accounting around.

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