Marketing Stack

The ad with the most clicks is often not the ad that makes money. This guide shows you how to tell the difference before your budget does.

Sellers celebrate likes, shares and cheap clicks while orders stay thin. Marketing Stack gives you one short chain of numbers that explains your cost per order, so you can see which link is weak and fix that one first. It stays useful when ad platforms change their tools, because it teaches the thinking and not the buttons.

What you will find out

• The chain behind every order: CPM, click rate and conversion rate, and how together they set what an order costs you
• Why your best-loved ad can be your most expensive one, shown in a worked case study
• How an ad quietly gets tired, and the signs to watch before it crosses your limit
• Why your ad platform's order count and your own records can disagree, and which one to trust
• A six-part structure for ad creative, and how to test creative one change at a time
• A simple cold, warm and hot campaign structure, careful scaling steps, and the numbers that decide versus the numbers that only flatter you

24 pages in clear English, with 8 charts and diagrams, three case studies, a 7-day plan and a worksheet for your own ads.

Who this is for

People about to run their first ads, and sellers whose cost per order keeps creeping up.

The cost of not knowing: without the chain, a rising cost per order is just a feeling. With it, you can point at the exact link that broke.

How to order (NayaPay)

1. Add this guide to your cart and check out, choosing NayaPay as your payment method.
2. Send the order total (Rs. 1,999) to NayaPay number 0304-4525359.
3. Send your payment screenshot and order number on WhatsApp (0339-4525359) or by email (ecomsach.pk@gmail.com).
4. Once your payment is confirmed, we email you the download link.

7-day money-back guarantee. Message us within 7 days of purchase and we will refund you. No conditions, no reason needed. This is a digital download, so nothing is shipped.

The characters and case studies are illustrative, and the numbers are examples, not benchmarks. Real costs vary widely, and ad platforms change their rules often, so check the current policies of any platform you use. Nothing here is a promise of sales or profit.