Convbox Analytics helps you analyze true channel contribution, understand consumers, and provide credible data support for marketing decisions by tracking user channel touchpoints and their behavioral paths on the website.

Have you ever experienced this?

You see a report of 100 orders from Facebook Ads and 150 orders from Google Ads, making a total of 250 orders. However, your Shopify store only shows 190 actual orders.

This is not a data error. It happens because each media platform reports all orders it "participated" in, leading to significant overlap. This makes it impossible to judge the true value of each channel, leaving you struggling with budget allocation decisions.

Convbox is designed to solve this exact problem, helping you see the truth behind the data. Here are three core features that will help you effectively evaluate channel contribution:

Order Journey - “How did a customer actually make a purchase decision? What role did my ads really play?”

Imagine being able to clearly see the complete purchase journey of a customer :

1. Day 1: Visited your website via a link in an influencer's Instagram video (Source: Instagram / Influencer).
2. Day 3: Saw your ad in the Facebook feed, clicked, and visited again (Source: Facebook / Paid Ads).
3. Day 5: Came directly to the website by searching your brand name and added a product to the cart. (Source: Google/ Organic Search).
4. Day 7: Received your marketing email, clicked the discount code inside, and finally completed the payment (Source: Email / Marketing Campaign).

The Order Journey feature presents all these actions on a clear timeline. You no longer have to guess. You can know exactly what role each channel played in the consumer's decision process (e.g., influencer drove awareness, ads achieved remarketing, search showed brand intent, email finally closed the sale), understanding how channels drive results.

→ To dive deeper into individual order stories, see: [Understanding the Order Journey]

Channel Overlap - “What is the audience overlap between Facebook and Google? How many orders did they contribute together?”

You can't manually check every order's journey. The Channel Overlap feature provides a macro view, using statistics data and intuitive charts (like Venn diagrams) to show the intersection between channels.

For example, it will directly tell you: Out of the total 190 real orders, 80 orders had touchpoints from both Facebook Ads and Google Ads. Facebook alone contributed 20 orders, Google alone contributed 70 orders, and other channels contributed the remaining 20 orders.

That helps you quickly understand the degree of audience overlap and collaborative effect between different media channels, helping you evaluate your channel mix strategy and avoid wasting budget on channels that cannibalize each other.

→ To learn more about channels overlap, see: [All Channels Report]

True ROAS - “Facebook claims a ROAS of 4, Google claims 5. Cutting through the clutter, what are their actual ROAS numbers?”

The True ROAS feature is Convbox's core solution. We use the 190 real orders from your Shopify backend as the baseline (not 250), and based on your chosen attribution model (e.g., last-click, time decay, etc.), we fairly assign sales credit to the various channels involved in those 190 orders. This calculates each channel's true number of conversions and True ROAS.

Meanwhile, we sync the ROAS reported by Facebook (based on 100 orders) and Google (based on 150 orders) into the same report, allowing for a direct comparison:

• Platform-Reported ROAS: Facebook: 4.0 | Google: 5.0
• Convbox True ROAS (Last-Click Model): Facebook: 2.8 | Google: 3.4

Most importantly, this analysis can be drilled down to the specific campaign and even individual ad level. This means you can not only compare the overall True ROAS of Facebook vs. Google but also see all your ad campaigns performance from different media platforms (e.g., Facebook, Google, TikTok) under a unified attribution model and evaluation system, giving you a completely level playing field to judge ad performance free from platform bias. Enabling you to base your budget allocation decisions on real, non-duplicated data, thereby maximizing your advertising ROI.

→ To learn more about True ROAS of ad level, see: [Ads Report]

Updated on: 17/09/2025