Average Discount Depth Jumped 7.2 Points in Eleven Days

Average discount depth across the tracked set moved from 18.4% to 25.6%, a change of 7.2 points, over the last 11 days. That shift sits alongside a broader pattern: 77% of captured sends in the window carried some kind of offer. Together, the two figures describe a set where discounting isn't just common — it's landed at a deeper average markdown than the prior window.

What the depth looks like in practice

The permitted examples span a wide range around that new average. Laura Geller sent "1 Hour Left: 60% OFF Everything ⏳" at 60% off, and followed with "Final Deal Alert 🔔 45% OFF Ends Soon" at 45% off — both above the tracked-set average. Ardell's "Your Insider Lash Steals Are Here" ran at 30% off, closer to the new mean. Epicuren Discovery's "25% OFF Your Routine Deserves a Summer Edit ☀️" sat at 25% off, just under the 25.6% average. None of these examples prove causation for the overall move — they're illustrations of where individual sends landed inside a set whose average depth rose by 7.2 points.

Reading the two numbers together

A rising average depth and a high share carrying an offer (77%) are two different signals that happen to point the same direction in this window. The first says: when brands in the tracked set discount, they're discounting deeper than before. The second says: discounting itself is widespread, not a minority behavior. Neither number tells you why — the pack doesn't include a cause — but together they describe a set where full-price sends are the smaller slice of the sample, and the offers that do run tend to be steeper than the prior window's 18.4% norm.

For marketers watching category-level offer data, the takeaway isn't about any single brand's strategy. It's a structural note about the environment captured in this window: if most of a tracked set is running an offer, and the average of those offers has moved up by 7.2 points, then a full-price send — or a shallow, clearly-labeled discount — has more room to read as distinct against that backdrop. That's not a claim about what any of the three named brands intended, and it's not a prediction that depth keeps climbing. It's simply what the 2,113-send sample shows for this 11-day window: deeper average markdowns, and a large share of sends carrying some discount at all.

Marketers tracking their own offer cadence against this kind of shift can use the [/offers] hub to see how depth and frequency are moving across captured sends more broadly.

Method. Computed deterministically across HappyCohort's published corpus of captured marketing emails over the 11-day window ending Jul 12, 2026, compared with the prior 11-day window. This read rests on 2,113 sends. HappyCohort reports observable signal extracted from the mail itself — it does not model, rank, or score brands. Every figure above traces to this computation.