Twitter Tips & Strategies

How to Analyze Twitter Ads

By Spencer Lanoue
October 31, 2025

Running Twitter ads is one thing, understanding if they're actually working is another. If you're tired of checking your Ads Manager only to be met with a wall of numbers that don't mean much, you're in the right place. This guide will walk you through exactly how to analyze your Twitter ad performance, find out what's driving results, and make smarter decisions to get more out of your budget. We'll cover the essential metrics, how to navigate the dashboard, and a few simple ways to dig deeper into your creative and targeting.

First Things First: Know Your Core Metrics

Before you get lost in the dozens of available data points, focus on the metrics that truly measure success. Your primary goal will determine which ones matter most, but nearly every campaign relies on a combination of these performance indicators.

The "Big Three" Performance Metrics

  • Results: This is the primary action your campaign is optimized for. If you're running a Website Clicks campaign, your "Result" is a click. If it's a Follower campaign, your "Result" is a new follower. It's the top-line number that tells you if the ad is achieving its main objective.
  • Cost Per Result (CPR): This is how much you're paying for each of those results. Your total ad spend divided by your total number of results. A low CPR means you're efficiently getting what you're paying for. If your goal is to get website clicks for under $2.00, this is the number you'll live and die by.
  • Return On Ad Spend (ROAS): For e-commerce and lead-gen campaigns, this is the ultimate measure of success. It calculates the revenue generated from your ads divided by the amount you spent. A 3x ROAS means for every $1 you spent, you made $3 back. To track this, you need the Twitter Pixel properly installed and configured on your website to track purchase values.

Key Diagnostic Metrics (Telling You Why Performance Is Good or Bad)

  • Impressions: The total number of times your ad was shown to a user. High impressions are great for brand awareness campaigns, but on their own, they don't say much about performance.
  • Engagement Rate: This is a percentage that shows how often people interacted with your ad after seeing it (Likes, Retweets, replies, follows, clicks, etc.). A high engagement rate (typically over 1-2%) suggests your ad creative and copy are resonating well with your target audience. People aren't just scrolling past it, they're stopping to engage.
  • Click-Through Rate (CTR): The percentage of people who saw your ad and clicked the link. This metric is a solid indicator of how compelling your call-to-action (CTA) and ad copy are. If you have a ton of impressions but a very low CTR (e.g., under 0.5%), it's a sign that your ad might not be inspiring action.
  • Cost Per Mille (CPM): The cost per 1,000 impressions. This metric tells you how expensive it is to reach your target audience. A high CPM can mean your audience is either very competitive or very niche. A sudden spike in CPM might mean you need to broaden your targeting or that you're suffering from ad fatigue.

Setting Up Your Ads Manager for Smart Analysis

Twitter's default dashboard view isn't always the most helpful. The key to effective analysis is customizing your dashboard to show you what you need to see - and nothing you don't. Think of it as building your own personal mission control center.

Step 1: Get Familiar with the Levels

Your Twitter Ads Manager is organized into a hierarchy:

  • Campaigns: The highest level. You set your objective here (e.g., Website Clicks, Brand Awareness).
  • Ad Groups: A campaign contains one or more ad groups. This is where you'll define your budget, bidding, targeting (demographics, keywords, interests), and placement.
  • Ads (Creatives): An ad group holds your actual ads - the tweets with the images, videos, and copy that people see in their timelines.

Analyzing performance at each level answers different questions. Campaign-level analysis gives you a broad overview. Ad group analysis tells you which audience is performing best. Ad-level analysis shows you which specific creative is the winner.

Step 2: Customize Your Columns

This is the most powerful feature you can use. Instead of sticking with the default "Overview," you can create a custom view that puts all your important metrics side-by-side.

  1. Navigate to your Ads Manager dashboard.
  2. On the right side of the metrics table, click on the "Customize metrics" button (it looks like a set of columns).
  3. A window will pop up. From here, you can search for and select the metrics you want to track. A great starting point is to include: Impressions, Results, Cost per Result, Engagement Rate, Link Click-Through Rate, Engagements, and Link Clicks. If you're running video ads, add metrics like Video Views and Cost per Video View.
  4. You can drag and drop these metrics to reorder them into a logical flow. For example, you might want to see Results right next to Cost Per Result.
  5. Once you're happy with your selection, check the "Save as a new preset" box at the bottom, give it a name like "My Core KPIs," and click save. Now, you can access this customized view with one click every time you log in.

Step 3: Set Your Date Range

Be intentional about the timeframe you're analyzing. Looking at "Last 7 days" gives you a sense of recent performance, while looking at "Last 30 days" gives you a broader trend. If you recently launched a new ad, you might want to look at "Yesterday" to isolate its initial results. To evaluate a campaign's total performance, select its exact start and end dates.

Digging Deeper: How to Find Actionable Insights

So, your CPR is high and your CTR is low. What do you do now? The metrics tell you what happened, but the insights come from figuring out why. This means cross-referencing performance with your creative and targeting decisions.

Analyze Your Ad Creative Performance

The best way to figure out what works is to test different creative elements against each other. Inside an ad group, you should ideally have 2-4 different ads running simultaneously.

Compare Your Ads Side-by-Side:

  • Look at the winners and losers. Is one video ad getting a CTR of 3.1% while a static image ad is stuck at 0.4%? That's a clear signal from your audience that they prefer video. Double down on what works and pause the underperformer so your budget can flow to the winner.
  • Identify patterns in your copy. Compare your best-performing ad's copy to your worst. Is it shorter? Does it ask a question? Does it use a specific emoji? Small changes in wording can have huge impacts. For example, you might discover that tweets starting with a compelling statistic consistently get higher engagement rates.
  • Check your Call-to-Action (CTA). Are people clicking "Learn More" but not clicking "Shop Now"? This might suggest they need more information before they are ready to purchase, or that the "shop" CTA feels too aggressive for a first touchpoint.

Actionable Example: You run two ads for a new software product. Ad A shows a clean product screenshot and has a CTR of 0.8%. Ad B is a short, 15-second screen recording showing the product in action, and it has a CTR of 2.5% and a 50% lower Cost Per Result. The insight: an animated demo is far more effective at grabbing attention and driving action than a static image. Your next round of ads should focus entirely on video demos.

Analyze Your Audience and Targeting Performance

Who you show your ads to is just as important as what your ad says. Twitter's "Breakdown" feature is your best friend here. It allows you to slice your data by different audience characteristics to see who is responding best to your message.

At the campaign or ad group level, click the "Breakdown" dropdown menu and select an option to segment your data. Here are some of the most useful breakdowns:

  • Placement: See if your ads perform better in the home timeline, user profiles, or search results. You might find that your ads get lots of cheap impressions in profiles but all of your high-quality clicks come from the timeline.
  • Device: Break your data down by iOS, Android, and Desktop. If you see that your CPR is drastically lower on iOS but your website isn't optimized for Safari, you've just uncovered a huge opportunity for improvement.
  • Demographics (Gender, Age): Does your ad resonate more with a particular gender or age bracket? This can help you refine your targeting in future ad groups or tailor your messaging to better connect with your top-performing demographic. For instance, if you assumed your audience was 25-34 but the data shows the 45-54 group is driving clicks for half the cost, it's time to adjust your strategy.
  • Location: If you're targeting multiple countries or states, this breakdown will show you where you're getting the best bang for your buck. You may discover you're spending a lot in one region with poor results while another region is converting like crazy. You can then reallocate your budget accordingly or create location-specific ad copy.

Final Thoughts

Analyzing your Twitter ads doesn't have to be complicated. By focusing on your core metrics, customizing your ads dashboard for clarity, and systematically breaking down performance by creative and audience, you can turn raw data into a clear roadmap for improvement. It's an ongoing process of testing, learning, and refining, but that cycle is how small ad budgets turn into big results.

While the Twitter Ads Manager is perfect for digging into paid campaign details, seeing the bigger picture means looking at your organic and paid social metrics together. At Postbase, we designed our analytics dashboard to give you a clean, unified view of your performance across all major platforms. This allows you to track content effectiveness and audience growth in one place, helping you see how your ad campaigns boost your overall social strategy without needing to stitch together multiple reports.

Spencer's spent a decade building products at companies like Buffer, UserTesting, and Bump Health. He's spent years in the weeds of social media management—scheduling posts, analyzing performance, coordinating teams. At Postbase, he's building tools to automate the busywork so you can focus on creating great content.

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