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Campaign Page Overview

Understanding Your Campaign Metrics in Blend

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Written by Dean Krowitz
Updated over 2 months ago

The campaign page gives an at-a-glance summary of how your ads are performing — from overall spend and clicks to how each piece of content is converting across platforms.


🔍 Overview Section

The Overview tab provides a snapshot of your campaign’s performance over the selected date range. It highlights key performance indicators to help you understand what you’re getting from your ad spend.

Here’s what you’ll see:

  • Spend: Total amount spent on the campaign.

  • Impressions: The number of times your ads were shown.

  • Clicks: How many times people clicked your ads.

  • Orders: Number of customer purchases attributed to the campaign.

  • CPO (Cost Per Order): The average cost to generate one order.

  • Revenue: Total revenue attributed to your ads.

  • ROAS (Return on Ad Spend): Revenue divided by spend — a quick read on how efficiently your campaign is generating returns.

Below the summary cards, you’ll see a breakdown of these metrics by channel (e.g. Instagram, Facebook), so you can understand where your performance is coming from.

These numbers can be viewed from two perspectives — Blend Metrics and Reported Metrics


Understanding the Difference: Blend Metrics vs. Reported Metrics

At the top of your campaign page, you’ll see a toggle that lets you view performance from two different perspectives: Blend Metrics or Reported Metrics.

Blend Metrics

Blend Metrics are based on server-side tracking directly from your store. This means that when a customer clicks an ad and completes a purchase, that order is verified using first-party data — not modeled assumptions. Every tracked result is tied to a real, measurable event.

This approach reflects our commitment to accuracy and transparency. Blend Metrics can be traced back to individual orders inside your store, giving you complete visibility and auditability. They are often more conservative than reported metrics, because we don’t count view-through conversions or allow platforms to “claim” credit for sales they may not have driven.

Reported Metrics

These come directly from the ad platforms like Meta, Google, Microsoft or TikTok. They often include:

  • View-through conversions (someone saw an ad but didn’t click)

  • Modeled conversions (the platform predicts a sale happened, but it isn’t verified)

  • Double attribution (multiple platforms claim credit for the same purchase)

Reported Metrics are helpful for understanding how platforms measure impact, and they provide a like-for-like comparison to what you may have been used to seeing before using Blend. If you want to see how your current performance stacks up against past ad reports, this view offers continuity


🎯 Blends Tab (Content-Level Performance)

What is a “Blend” anyway?

A Blend is the combination of:

  • Who you’re targeting (the audience)

  • What you’re showing (the creative content)

  • Where it’s running (the ad channel)

Combine those three things together — and you’ve got a Blend. Each unique combination represents a slice of your campaign strategy.

The Blends tab is where you can dig into the performance of your actual content.

To view a detailed breakdown of how each piece of content is performing across channels and audiences, head to the Blends tab and click on your content to expand the view — you’ll see total spend, clicks, orders, revenue, ROAS, and where it was shown.

This view is especially helpful when you’re testing multiple creatives and want to see which ones are driving the best returns — across all platforms.


💡 Let Blend Do the Heavy Lifting

Remember — Blend automatically moves your budget between channels, audiences, and content to find the most effective combination for your campaign. It’s constantly learning and adjusting in real-time.

As a general rule, try not to toggle Blends on and off manually, unless you have a strong reason. Over-managing the funnel can interrupt optimizations and make it harder for Blend to find the best-performing mix.

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