An Ultimate Guide: Instagram Stories Ads

When advertising on Instagram, do you track the success of your Stories? How do you know the metrics to measure the success of your advertisements and where to locate them?

Learn how to examine Instagram Stories ad data and determine which strategies are yielding the best results.

Using Ads Manager to Dissect Instagram Stories Ads

You may be surprised to learn that Instagram Stories advertising don’t provide you with the same analytics as regular story posting. Facebook Ads Manager is the only interface available, and it lacks some of the more useful metrics that you might be used to viewing.

Well, there’s an app for Facebook Ads, you might respond. May I put that to use? While it’s true that you can view some of the advertising data in that app, the best way to see everything is on a desktop computer.

Ads Manager has a large set of numbers, the vast majority of which will be meaningless to you. However, I will demonstrate the relevant metrics for Instagram Stories advertisements.

See Where Your Ads Have Been Played Lately

If you’re buying Instagram Stories placements alongside other types of advertisements, you won’t be able to tell how well each type of ad is performing because the data will be aggregated into a single line item. Thankfully, you can break up placements into their own analyses.

The Breakdown menu can be found on the right side of the screen. To examine the performance of individual markets, click it to view the many possible methods to divide up your data.
Every Facebook and Instagram placement, including Stories, is displayed when you choose the Placement option. Maybe Facebook decided not to support Instagram Stories, or maybe you just decided not to run on Instagram.

Analyse Top-of-Funnel Instagram Ads by Viewing Engagement with Stories

Take the ad below as an example; you might be analysing its Stories performance if you were running it at the top of the funnel. Insights into how viewers interact with videos reveal that Stories has amassed 45,827 total views.
When constructing remarketing audiences, these are the associated costs to consider. These expenditures matter since success depends on knowing how far you’re willing to push your budget in light of your goal. This post will teach you how to construct efficient Instagram advertising funnels.

There are a lot of statistics in this report, and it’s easy to get the impression that they’re all significant.

Analyse Instagram Ads for Goal Conversion by Viewing Performance and Clicks on Stories

Suppose you want to increase conversions using Instagram Stories ads. There are already columns for “Performance” and “Clicks” in your spreadsheet. If you choose this path, the information will appear substantially different from the Engagement data.
In this step, you examine metrics like ad set performance in relation to its intended purpose.

The below advertisement seeks to encourage purchases. You may view how many buy conversion events occurred, how often individuals saw the ad over the time period you selected, how much it cost to get that purchase, what the budget was, and so on.
Cost-per-click (CPC) and revenue generated from clicks on these lines are displayed as you scroll.

Let’s analyse Instagram Stories’ cost-per-click. The cost per click-through to your website was $1.27. When compared to alternative placements, that is actually quite inexpensive.
When you compare the number of purchases, the cost per purchase, and the return on ad spend (ROAS), you can evaluate how well your story ads are doing in comparison to those in other locations. All of this information deserves careful consideration.

Conclusion

Facebook advertising are probably not new to you, and neither is the data that comes with them. Instagram is unique, though. Ads in Stories are presented in a unique environment, unlike any other type of advertising on the service.

Advertisers may reach a massive audience with Instagram Stories ads. What will set you apart from the competitors is mastery of Stories advertising. However, knowing how to analyse your data is essential for developing effective advertisements.