Peppasync Use Cases:
Driving ActionableRevenue
Major DTC Brand Recoups $18,000 in Monthly Ad Spend by Stopping the Data Guesswork
“Wasting 20+ hours a week manually optimizing fragmented ad campaigns. Decision-making was reactive, relying on vanity metrics instead of true profitability.”
The Head of Digital Marketing at a $3M high-volume sportswear brand was wasting 20+ hours a week manually optimizing fragmented ad campaigns. They struggled to know which campaigns to pause or scale , often reacting too late and relying on vanity metrics over true profitability.
Peppasync acted as their 24/7 AI Campaign Manager. The system continuously monitored real-time performance across all platforms, immediately flagging campaigns with a poor Return on Ad Spend (ROAS). It then proposed workflows to test high-potential ad creatives and audience segments.
Within 30 days, the brand's AI agent identified $18,000 in inefficient monthly ad budget that was immediately reallocated to high-growth potential campaigns. The team shifted from manual analysis to high-level strategy, reducing optimization time by 80%.
“Peppasync gave us the confidence to finally scale past our $4M ceiling.”— Head of Digital Marketing, Scaling D2C Brand
Homeware Brand Cuts Stockout Risk by 95% and Optimizes Manufacturing Lead Times
“Constant stockouts from misaligned data. Predictive planning relied on outdated spreadsheets, costing us thousands in rush fees and lost revenue.”
A fast-growing home goods brand was struggling to meet rapid demand due to a massive disconnect between their Shopify sales data and 3PL fulfillment records. Forecasting was manual and reactive, relying on simple spreadsheets , causing frequent stockouts on top-selling SKUs and delaying manufacturing planning.
Peppasync unified their Shopify, 3PL, and marketing data into a single, comprehensive view. The system intelligently forecasted future demand by combining historical sales with known seasonality and specific marketing campaign inputs (like a Black Friday sale). It used the brand's supply chain timelines to deliver clear, automated order recommendations.
The brand eliminated guesswork. By receiving proactive, automated recommendations on stock levels, they reduced their stockout rate on high-margin products by 95% and gained a 60-day visibility into their manufacturing pipeline, avoiding an estimated $50,000 in quarterly rush fees.
“We finally have visibility into what's coming, not just what already happened”— Head of Operations, Scaling Home Goods Brand
High-Growth Services Brand Increases Sales Efficiency by Prioritizing 80% of Inbound Leads
“Drowning in inbound leads with no way to identify high-value prospects. Manual qualification meant our best opportunities sat untouched.”
The Head of Sales was facing an "inbound problem" —a high volume of leads flooding their ActiveCampaign CRM. The sales team lacked the tools to transform this data into actionable intelligence , resulting in manual lead qualification and ineffective pipeline management, leaving high-value opportunities unpursued.
Peppasync ingested and aggregated data from the brand's CRM, marketing analytics, and other sources. The system provided real-time intelligence and scoring for all inbound leads , allowing the Sales Development Representatives (SDRs) to quickly understand the true value of a lead before initial contact.
The sales team was able to prioritize their efforts on the most promising 20% of the pipeline, which accounted for 80% of potential deal value. This increased their average deal conversion rate by 15% within two quarters, allowing the team to focus on converting the best opportunities.
“Peppasync turned our CRM from a lead graveyard into a revenue engine. We now know exactly where to focus our time for maximum impact”— Head of Sales, High-Growth Services Brand
