I grow online revenue without discounting it away

Problem. July revenue came in well below last year and below target. Leadership needed to know if demand was falling.

What I did. I broke the gap down campaign by campaign and flow by flow, separated calendar effects from real performance, and cross-checked against Shopify orders and AOV.

Result. Demand had not dropped and automations were converting better than ever. I presented a monthly recovery plan with dates and decisions.

Problem. The site barely collected emails, so every campaign went to a shrinking list.

What I did. Relaunched a two-step pop-up (offer, then birthday), a three-email welcome series and unique codes to measure sales in Shopify.

Result. 15× more weekly sign-ups. First-week welcome-code orders averaged $513.

Problem. The cart-recovery flow was silently broken, and nobody knew which automations actually sold.

What I did. Audited 32 automations and 71 segments by revenue per recipient, launched a new cart flow and rebuilt browse abandonment.

Result. Cart flow from $0 to $11.4K a quarter. Browse-abandonment revenue grew 11×.

Problem. 31 discount campaigns a quarter were training customers to wait for sales and eating margin.

What I did. Built audiences by brand, category, engagement and recent purchase, and planned discounts into two deliberate windows.

Result. Targeted sends were 7% of volume and 35% of campaign revenue. Unsubscribes fell 60%, AOV rose 10%.

Problem. Top customers had no reason to feel special, and returns ran on a process the team had outgrown.

What I did. Designed a Diamond tier (rules, 6 benefits, vendors, budget, 5-week rollout) and evaluated two returns platforms, including vendor negotiation.

Result. A launch-ready loyalty tier with budget and rollout plan, and a returns platform chosen on cost and customer experience.