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    Insights/Promotional Strategy

    When Discounts Destroy More Than Margin

    You can see the margin cost of a 20% discount immediately. The customer behaviour effects take months to appear and years to reverse.

    The Hidden Costs

    When you run a 20% off promotion, the immediate cost is obvious: 20% less margin on every sale. But there are cascading effects that don't show up in that month's P&L:

    • Customers who would have paid full price now get a discount
    • Future customers learn to wait for the next promotion
    • Google's algorithms learn that your customers respond to deals
    • Your brand becomes associated with discounting

    The Compounding Effect

    Each promotion makes the next one more necessary. Customers who learned to wait now expect discounts. Full-price periods see lower conversion rates. The cycle accelerates.

    Training Customers to Wait

    Frequent promotions create predictable patterns. Monthly sales, seasonal discounts, and regular promotional emails all send the same message: don't buy now, a discount is coming.

    The most price-sensitive customers learn to add items to cart and wait. They set up price alerts. They know your promotional calendar better than you do.

    The Waiting Game

    Brands with regular promotional calendars often see cart abandonment spike before expected sales and conversion rates drop in the weeks following promotions. Customers have learned the pattern.

    Algorithm Effects

    Google's bidding algorithms learn from conversion data. When your promotions drive high conversion rates, the algorithm learns that:

    • Deal-seeking audiences convert well for your brand
    • Promotional messaging drives engagement
    • Price-sensitive search terms are worth bidding on

    Over time, your campaigns increasingly target deal-seekers because that's where the conversion data shows success. Full-price customer acquisition becomes harder because the algorithm hasn't learned those patterns.

    The Data Bias

    Heavy promotional activity creates biased training data. Your campaigns optimise for discount-responsive audiences because that's where the conversion signal is strongest. Breaking this cycle requires intentional data strategy.

    LTV Destruction

    Customers acquired through deep discounting behave differently:

    • Lower repeat purchase rates because they wait for the next discount
    • Higher price sensitivity and easier to lose to competitors
    • Lower average order values on subsequent purchases
    • Higher support costs because they're more likely to complain about pricing

    The LTV of a customer acquired at 30% off is often half or less of a full-price customer. Yet CAC calculations rarely account for this difference.

    Strategic Discounting

    Discounting isn't inherently bad. It's a tool. But it needs to be used strategically:

    • Inventory clearance: Discounting aged stock before it becomes worthless is rational cash recovery.
    • First-purchase incentives: Acquiring new customers at lower margin can work if LTV justifies the CAC.
    • Competitive response: Matching competitive pricing in specific categories may be necessary.
    • Strategic timing: Black Friday participation may be commercially necessary even if margin-destructive.

    The Intentionality Test

    Before every promotion, ask: what is the strategic purpose? Clearing stock, acquiring customers, or responding to competition are valid. "Revenue is down" is not.

    Next Steps

    Audit your promotional calendar. Calculate not just the immediate margin cost but the long-term effects on customer behaviour and algorithm training. Then decide if each promotion is strategic or just habitual.

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