At high volume, everything looks fine on the surface — revenue is up, orders are flowing, growth metrics look healthy. But volume masks the products quietly losing money, the support tickets piling up, and the chargebacks creeping upward. StoreLyst gives you the granular visibility that aggregate numbers hide.
When you're doing 500+ orders per day, your overall metrics look healthy. But hidden inside that volume are products with negative margins after returns and ad spend, SKUs that generate disproportionate support tickets, and variants that nobody actually wants. Without granular per-product analytics, you're subsidising losers with your winners.
More orders mean more questions, more complaints, and more edge cases. At low volume, you handle everything personally. At high volume, tickets pile up, response times slip, and customer satisfaction drops. Without structured ticket management, your team is constantly firefighting instead of solving root causes.
At low volume, a chargeback is an annoyance. At high volume, it's a pattern that can get your payment processor nervous. Chargebacks are often early indicators of bigger problems — product quality issues, shipping delays, or misleading listings. Without tracking chargebacks per product, you can't identify and fix the source.
You're spending thousands per month on Google Ads and possibly other channels. At this scale, a 5% improvement in ROAS isn't theoretical — it's real money. But connecting ad spend to actual product-level profit (not just revenue) requires integration that most tools don't provide.
Every feature built with high-volume sellers in mind.
Sort your entire catalogue by actual profitability — not revenue, not margin percentage, but absolute profit per SKU. Identify the products that look busy but lose money, and the quiet performers that silently drive your bottom line. Make product decisions with complete financial data.
Learn more about Profit & Loss →Import and update COGS in bulk via CSV. Handle supplier price changes across hundreds of products efficiently. Set alerts for when margins drop below your threshold on any product, so problems surface immediately instead of hiding in aggregate numbers.
Learn more about COGS Tracking →Manage customer support tickets with prioritisation, categorisation, and response tracking. Identify product-specific issues that generate the most tickets. Route problems to the right team members. Turn reactive firefighting into proactive quality improvement.
Learn more about Support Tickets →Track chargebacks per product, per time period, and per reason code. Spot spikes early — before they trigger payment processor reviews. Correlate chargebacks with specific products, marketing campaigns, or fulfilment changes to find and fix root causes.
Learn more about Chargeback Monitoring →See your Google Ads ROAS calculated against actual product profit, not just revenue. At high volume, this distinction is worth thousands per month. Kill campaigns that look profitable on the surface but lose money after COGS and returns.
Learn more about Google Ads →Here's what running your store looks like when everything works together.
Start with yesterday's P&L sorted by absolute profit contribution. Quickly identify any products where margins shifted — a supplier price change, a spike in returns, or an ad campaign that went wrong overnight. Flag issues for your team.
Review the ticket queue sorted by urgency. Address escalated complaints, chargeback-risk issues, and VIP customer concerns first. Delegate routine inquiries. Track ticket volume by product to identify problem areas.
Check chargeback monitoring for any products crossing threshold rates. Investigate spikes — did a recent marketing campaign set wrong expectations? Is a specific batch of product generating complaints? Act before your payment processor raises concerns.
Analyse ad spend by campaign and product group against actual profitability (not just ROAS on revenue). Pause campaigns where the true profit is negative after COGS. Increase spend on campaigns driving genuine bottom-line growth.
Run a weekly review of your worst-performing SKUs by profit contribution. For each, decide: raise price, reduce ad spend, improve listing, negotiate better COGS, or discontinue. At high volume, cutting 10 unprofitable SKUs can save thousands monthly.
Common questions from high-volume sellers about StoreLyst
Yes. StoreLyst is built to handle high-volume data. The platform syncs with your Shopify store via API and processes orders, returns, and chargebacks efficiently. Dashboards remain fast even with large datasets because we pre-aggregate key metrics.
Payment processors start paying attention when your chargeback rate exceeds 0.65-1% of transactions. StoreLyst tracks your rate per product and over time, alerting you when specific products spike. By identifying and fixing problem products early, you keep your overall rate well below processor thresholds.
Yes. You can import and update COGS via CSV, which is essential for merchants with hundreds or thousands of products. When a supplier changes pricing, update the CSV and re-import — all margins recalculate automatically across your catalogue.
Google's dashboard shows you ROAS based on revenue — how much revenue each €1 of ad spend generates. StoreLyst shows you ROAS based on actual profit — after COGS, shipping, and returns. The difference can be dramatic. A campaign might show 5x ROAS on revenue but only 1.2x on profit, meaning it's barely worthwhile.
StoreLyst's ticket management isn't designed to replace Zendesk or Freshdesk. Its value is the connection between support tickets and product data. When you can see that 35% of your tickets come from one product, or that a specific product's tickets correlate with its chargeback rate, you get actionable intelligence that a standalone help desk can't provide.
Stop letting high volume mask unprofitable products. Get granular, per-SKU visibility into your real margins. Start your free 14-day trial.