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Diagnostic patterns

Where money stops in Georgian e-commerce — typical diagnostic patterns

CoreFlow's operational diagnostic practice shows that the problem rarely starts with a low ROAS. Cash usually stalls at the stages where ROAS is read without accounting for margin, returns, and the cash-flow cycle. Below are the recurring patterns we most often surface during diagnostics. Each case is analyzed in detail on its own page.

High ROAS, low margin

It is common for ad metrics to look healthy while real profit never shows up. The cause usually lies in confusing Markup with Gross Margin, in the product return rate, and in logistics costs.

Leads come in, orders don't form

The interest rate stays stable, yet only a minimal share converts into orders. The operational break — rather than ad quality — appears in first-response time, offer structure, and the follow-up process.

Many messages, low conversion

Messaging on social platforms is active, but the sales rate stays low. The problem is mostly in conversation-script structure and operator response speed.

Capital frozen in inventory

In an aggressive growth phase, cash first accumulates in inventory and prepaid delivery costs and only resumes circulation after some time. If the cash cycle isn't calculated in advance, scaling reduces the company's liquidity.

COD and logistics quietly cut margin

Cash on delivery, returned orders, and undelivered parcels quietly erode margin. These operational costs do not appear in the ad-account reports.

Conclusion — diagnose before you scale

These patterns confirm one principle: before increasing the ad budget, you must identify exactly where the financial resource is lost in the commercial chain. CoreFlow's approach follows precisely this order — first find the cause, then optimize the cost.

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