What metrics would you look at as a product manager for Instagram ads?
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Clarifying Question:
- Are we talking about Viewing the Instagram Ad or Publishing the Ad?Viewing
- Are we considering stories, post or both? Both
Product Description
Instagram Ad is used to show the relevant adverstisement by Instagram Users, Company, Sponsors or business to advertise their products or business and in turn seeking to get more engaged users with their product and eventually generating more revenue.
Product Goal
Are we looking for any specific goal or I can consider the overall the success goal for the business? Overall Success Goal
User Journey for Ad under Post/Stories
- User opens the Instagram App.
- User Scroll through Posts/Stories.
- User see the companies add in between.
- User Views, likes, comments, share and follow the add if interested.
- User reports the add if found Inappropriate
- User Log out of the Instagram App.
Metrics
Acquision |
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Activation |
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Retention |
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Revenue |
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Referral |
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Priortization
I will priortize the metrics according to the business value and impact.First few metrics which I would be interested in are:
- # of clicks within 1 week of Ad Post.
- Growth Rate of click on a weekly basis.
- Growth Rate of people who chose to hide/report the add on a weekly basis.
- All the metrics from Revenue
- # of People Activated per share
- # of People Converted per share
1) Are we considering any particular part of the product for instagram ads or are we considering the entire platform?
2) Do we have any company's objectives in mind while looking at metrics for instagram ads.( increase in user adoption or increase in user engagement or driving revenue growth)
For the scope of the question would be considering the instagram feed and not the chat or story or IGTV feature.
Step 2: Talk about the product or feature
Instagram is a social media content platform/company whose mission is to connect people across the world by creating and sharing content in the form of images, posts and videos.
Instagram ads is the main source of revenue for instagram, and it has been there for a while, however not a lot of brands, companies and users know about instagram ads therefore we can fairly say that these ads are in the growth phase. Ads can be both paid and free, and can target audience based on your needs.
The broad user segment for people using Instagram ads are as follows:
1) Companies/Brands/Content creators use instagram ads as a way to promote and popularise their content and to increase the reach of their content and thus the visibilty of the brand.
2)Content consumers-End consumers or users check on/engage with instagram ads by clicking the ad link.
Should we consider a particular audience for the instagram ads or is it something that you'd want me to assume.
Step 3: Identify and define the goal of the product/feature.
Instagram ads is huge and can have many goals associated with it.
Instagram ads is used by brands, social media influencers and content creators to broadcast and promote their content so that it reaches more people(user adoption and acqusition), helps in growing the brand and brand value ,which can lead to further increase in user engagement within instagram ecoystsem. All of this can further drive the revenue and business growth for Instagram
Step 4: Go through the user journey and talk about the different phases in the user journey
Content Creators
1) Log on to instagram
2) Think of posting some content (different content type)
3) Post the content that they wanted to
4) Content can be seen by everyone in the network
5) Creator thinking of improving the reach of the post by doing some sort of paid ads (or ensuring people buy a particular product)
6) Decides the budget and the reach and target audience that they want to reach to
7) Payment is done and then the ad starts
8) Ad can be seen attached to the post as a link or a text or video, ad format is decided by the content creator
Content Watchers
1) Casual user is bored and logs on to instagram
2)Scrolling and is finding nothing interesting
3) Comes across a sponsored ad
4) Clicks the ad link and the link directs it to their brand website or apparel
5) Buys something from the website if they like it or else come back to Instagram feed
6) Continous scrolling more content
Step 5: List down the metrics
Here we will evaluate the metrics based on the different phases of the user journey
1) Adoption: It refers to the number of people that are going to start using the product or feature
% of ad-related content
% of users who are posting/viewing an ad for the first time
Total Number of ads created on a daily, weekly, monthly basis
2) Engagement: It refers to the way by which users engage with a product or feature
Average number of ads viewed/created per 1000 users on a daily, weekly and monthly basis
Avg number of likes, comments and shares on ad-related content type
Avg time spent per session on a daily basis viewing ad related content
(CTR)- Click through rate (Avg Number of ad clicks per 50 posts)
3) Retention
Number of users who have clicked on atleast 2 ads in the last 30 days
% of users who have created more than 1 ad in the last 30 days
4) Monetization
Average CPC ( Cost per ad click)- This is a very important metric for instagram ads from a monetization point of view.
Cost per ad impressions
Now that we have listed down the various different metrics covering the different phases of user journey we will go to Step 6
Step 6: Evaluate and prioritize the metrics based on certain criterias like Relevance to company's goals and mission, Impact of the feature on the end-user and ease of evaluation of these metrics.
As a PM for Instagram ads i will be focusing on user adoption, user engagement and monetization related metrics as the key metrics to evaluate the success for this feature
% of users who are posting/clicking on an add for the first time is a very broad metric and i'll be defenitely considering that as a key metric for user adoption of instagram ads as more ad posted and more ads clicked on will lead to more engagement which in turn is aligned to the goal and mission of instagram
From an engagement perspective I'll be focusing on the average number of ads created/viewed per 1000 users on a daily/weekly and monthly basis to track and keep a check on the user engagement
Finally from a monetization angle we would be focusing on the Avg Cost per ad click and cost per ad impressions as these will be directly proportional to the revenue generated by Instagram
Step 7: Summarize your answer.
(Skipping this step)
Clarifications Qs -
- Assuming the ads are show in the feed of users, assuming app platform (ignoring web)
- These are self serve ads i.e. businesses can sign up for ad account and after adding their details and credit card/payment they can start showing ads
- Assuming there would be multiple ad types (formats - carousel, image, video etc)
- Revenue models - CPC, CPM, CPI
For the metrics I would looks at the following buckets -
- Ads engagement & revenue metrics
- Metrics showing Success for businesses using Ads
- Metrics showing advertiser signup funnel
- Metrics showing impact of ads in feed for users
- Overall performance of ads - # of ads (by type), # impressions, CTR. These maybe further sliced by important dimensions (like geography, categories, class of businesses). There can be more metrics depending upon the nuances like how good the targeting is, whats the ageing/freshness of the ads, what % of users are being targeted across diff segments (is the ads skewed towards only one or 2 segments)
- Revenue metrics - revenue per ad campaign, revenue per advertiser (again cuts by dimensions), CPC/CPM
- How relevant ads are : as a platform we want to target and show relevant ads to users otherwise it hampers the user exp. CTR is one metric for this (by advertisers/campaigns - campaigns which are not performing good by CTR means something is wrong and should be looked into). Overtime the CTR should improve for same advertiser.
- Churn : could mean either ads didn't work for the businesses or that the businesses themselves are churning (in longtail categories for platforms like insta/FB, shopify this is very common)
- LTV : Average revenue by diff type of advertisers
- Repeat Usage OR Ad spend retention : Is the ad spend growing (maybe a benchmark for time to reach x impressions or x dollar spend by advertisers/ad campaigns) - this is the proof that ads are working for the advertiser.
Assuming that its a self serve product.
- Overall conversion in the signup funnel (x% of all businesses who signup ever went live with at least 1 campaign or spend 100$ in ads)
- Funnel metrics for Creating campaigns, audiences
Since we showing ads in the users feed. We need to make sure that the ads don't hamper the engagement.
- Time spend by users in the feed - with different types of ads
- Relevance of ads (user feedback/backlash)
- A/B test to see impact of ad frequency vs engagement
- Other than this we might have to keep tabs on appropriateness of ads (explicit/hateful/disrespectful knowingly or unknowingly)
Okay. So Instagram Ads is a feature that allows a person or a business to promote itself amongst IG users.
Users get to see sponsored content in their IG feed where they can engage with it.
IG ads try to increase engagement for the end user and increase revenue for IG.
As far as the User Journey is concerned, when a user logs into IG, his feed is a combination of organic posts( which he has liked or followed) and sponsored IG ads.
The user can Like, Comment, Share and buy using IG ads.
So, i will track the below metrices for different parts of the user journey:
S.No. | Metric | Metric defintion |
1 | Views | How many users are viewing the Ad |
2 | Clicks and clicks per 100 Views | How many are clicking and clicks per 100 views |
3 | Buy and Buy per 100 views | How many are buying and Buy per 100 views |
4 | Likes | How many Likes- how many likes after clicking on ad and how many before clicking on ad? |
5 | Comment | How many comments |
6 | Share | How many shares |
7 | Follow the Ad Page | How many people follow the ad page after seeing the ad? |
8 | Impact of IG ads on Engagement | Users who click on ads often versus those who don't, what is their IG visit data and IG time spent data. Basically are IG ads making the user more enagaged or less? |
My evaluation and priority of the metrics would be:
S.No. | Metric | Metric defintion | Impact on User Engagement/IG Revenue | Priority |
1 | Views | How many users are viewing the Ad | High | 4 |
2 | Clicks and clicks per 100 Views | How many are clicking and clicks per 100 views | High | 3 |
3 | Buy and Buy per 100 views | How many are buying and Buy per 100 views | Very High | 1 |
4 | Likes | How many Likes- how many likes after clicking on ad and how many before clicking on ad? | High | 7 |
5 | Comment | How many comments | Medium | 8 |
6 | Share | How many shares | High | 6 |
7 | Follow the Ad Page | How many people follow the ad page after seeing the ad? | Very High | 2 |
8 | Impact of IG ads on Engagement | Users who click on ads often versus those who don't, what is their IG visit data and IG time spent data. Basically are IG ads making the user more enagaged or less? | High | 5 |
To sum it up, IG ads have the goal of increaseing IG but should also increase User engagement otherwise they will decrease the user experience. Various metrices can be evaluated as per priority to track the success of the feature.
Answering any type of Instagram metrics question takes a clear, detailed framework such as the following.
Clarifying questions
1. By instagram ads, do you mean a specific channel such as stories ad or post ads or all ads combined? All ads
2. Does sponsership by influencers count as an ad? no
Goals
The goal of instrgram ads would be to show relevant advertising to users so that the advertisers can increase awareness of their brand/product/company and engage users with their advertisement to increase revnue.
User journey
Instagram users can be exposed to ads in 2 ways
1. Posts
- User scrolls through the instagram posts
- In between the posts of people they follow, user will see posts of ads
- If user is interested, they can 1) like/comment on the ad 2) click and go to the website linked by the ad 3) go to the instagram page of the ad and follow or look at posts.
- If user is not interested , they can 1) continue scrolling through or 2) user can hide or report ad (if inappropriate).
2. Stories
- User watches stories of people they follow, user will see ad stories posted by companies
- If interested, user can 1) continue watching the ad, 2) swipe up to go to the link associated with the ad
- If uninterested, user can 1) swipe left or tap the screen to move on to the next story or 2) hide or report the ad.
Metrics: I would look at each metrics as a total and also % by channel (posts vs. stories)
Exposure
1. #of impression of ads total - D/W/M
2. #of impression of ads per user - D/W/M
3. #of unique impression of ads - How many users have seen this ad at least once
4. #of multiple impressions of ads- How many users have seen this ad more than once within a week/month.
Engagement
5. # of users who clicked/swiped up the ad
6. # of users who have liked the ad
7. # of users who have commented on the ad
Revenue
8. Ad revenue from impressions
9. Ad revenue from click through
10. Conversion - User ended up purchasing products by going to the link in the ad / total unique impression
Attrition
11. # of people who have chose to hide the ad
12. # of people who have reported the ad
Prioritize
I will prioritize metric #1,2,3 as impression is an important metric to know to how many people the ad was exposed to. Engagement is an important metric to gauge the relevacne and targeting accuracy of the ad. Metric #5 would be the most important to measure engagement by looking at click through rate. All of the revenue metrics are very imporant. # 10 might be hard to get but the higher it is the most impactful the ad was. I would also monitor and check #11 to see why users didn't want to see the ad and analyze if we are using the right algorithm for ads.
Summary
To summarize, I would look at impressions metric in detaile, click through rate, revenue, conversion, and attrition of the ads.
Goal : Show relevant ads to users that they might be interested in and bring the communities together between businesses and consumers and generate revenue in the process.
Users:Ads are a 2 sided marketplace. We have users that create the ads and the users that view the ads. And the success of the product depends on both. Now I'll go over the user flow on this product and mention what I will measure and then pick the primary metrics. Does that sound good?
From the creator's side:
Success measures: Activation, Retention, Revenue
i)Activation:creator starts ad creation, decides the audience criteria, fills out other info and then finishes the ad creation. As a PM, I would like to measure how many users that start the ad creation end up publishing it. #users finishing ad creation/#users clicking on create ad.
iii) Retention: Repeat ads.Avg #repeat ads created per ad account
iii)Revenue: Avg revenue per ad account. Measure it in segments by location, business type etc
Secondary:
iv) Then the creator monitors the engagement and conversion they get from the ad. As a product manager, I want to make sure the ad is reaching the right audience based on the preferences the creator has set.Avg of # user profiles reached /# expected users per ad
From the user's side:
Success measures: Engagement, Revenue, Retention
i) Engagement: Users engage with an ad in multiple ways: View,Like, comment, share, save,click,install,Hide, Report, ad blocker. I will measure average interactions on these ads per user. Avg number of likes per ad per user. compare it with regular posts
ii) revenue: Avg revenue per cpc ads, cpm, cpi . which one is more effective.
iii) Retention: How does engagement change based on ad volume .Do metrics like time spent and interactions with original content reduce over as we show more ads?
Ad distribution on feed and stories. Number of ads /number of organic posts. Number of ads in the first 5 tiles.
Do you want me to go over some secondary metrics?
First we discuss and list out the goal of Instagram ads (Customer Goals, Business Goals)
Customer Goals: There are two types of customers (Ad creator, Ad viewer)
1. Ad creator:
a. The ad should lead to a certain business goal (Increase visit to website, Awareness building, Lead generation etc)
b. Easy to create an ad, publish an ad (Creating the ad, Selecting Media, writing text for the ad)
c. Targeting the right customer
d. Posting the ad for the defined metrics (Demography, where will it be shown, how long wil it shown for)
e. Getting reactions (Hearts, comments)
f. Getting direct messages from leads
2. Ad Viewer
a. Relevant ads
b. Frequency of ads (there should not be so many ads, that the customers gets annoyed)
c. Ease of finding the Action buttons
d. Ease of reacting
e. Ease of setting preferences for the ad
Business Goals:
3. Engagement: We want users to find relevant products/ services through ads
4. Helping the community: Ads should help individuals or business create awareness about their services/ products.
5. Revenue: Instagram ads should be helping generate revenue
6. Retention: Decrease the churn or not effect retention at all, increase the retention
Based on the above discussed goals, we will figure out the metrics that measure these goals.
Metrics:
Customer Goals:
1. Ad creator
a. % of times the ad reached its defined/ promised goal (if instagram said, that it can reach 100k people, it would lead to 50 clicks)
b. Average time taken to create an ad
c. No of times ad creator was satisfied with the promotion
d. As Facebook’s goal is to create communities and help them, Instagram would want to make sure that the cost per ad is as optimal as possible. So we can have a metric to internally measure (given a set of conditions), how well the ad did in terms of (cost per ad, cost per impression). This is a metric to see how well our ad placement is doing.
i. Cost per ad objective
ii. A/B test – we will take a control group of ads and a test group of ads. (Both the ads will have the same settings (target audience, budget, goal, ad type, images etc). But we will test our algorithm as to how well we can place the ads to make sure that the cost per goal goes down.
e. Average no of reactions an ad gets compared to an organic post
i. Here also we can have an A/B test where we have an organic post as the control and the ad which is exactly similar as the organic post and see which one is getting more reactions.
f. No of direct messages to a business page 7 days post ad delivery.
i. If the direct message landed via clicking through an ad and then landing on the business page on instagram
2. Ad Viewer
a. No of times a user hides an ad
b. No of ads per organic posts
i. A/B testing to see how many number of ads per organic post is optimal in a feed.
Business Goals:
3. Engagement
a. Time spent scrolling through an ad – No of impressions
b. No of times an ad was turned off
c. No of times the app was closed while going through an ad
d. No of click through rates
4. Revenue
a. No of ads being created per day
b. % of budget utilized per ad
5. Retention:
a. Indirect measure: Can do an A/B test to figure out if ads lead to churn.
Metric Prioritization:
Whether a metric is important or not, depends on how strongly it reflects the goal, how direct and easy to the metric is. So lets classify the metrics
1a. Direct measure of success for ad creator as well as revenue metric for Instagram business goal
1b. Probably an indirect measure
1c. Direct and strong measure of ad success for the ad creator, and thus will ultimately lead to more ads being created and thus measure the business success
1d. Cost per ad objective – If we can optimize this, more ads will be created. This is very important.
1e. Direct measure if the ad objective is to get more likes, indirect measure otherwise.
1f: Indirect measure, the message could be related to the ad or maybe not.
2a. Very important to understand the relevancy of the ads
2b. Very important to understand how many ads need to be posted
3a,b : Covered previously
3c: Key measure, to see if people are getting anonoyed by the ads.
4a. Very important metric to track revenue ultimatelu
4b. Metric will show the success of the ad placement and the revenue as well.
5a. Indirect measure
Conclusion: Metrics to track (1a, 1c, 1d, 1e, 2a, 2b, 3c, 4a, 4b)
To tackle this question, I will first look at the goal of Instagram Ads. Instagram ads are surfaced as a user is surfing through instagram content, whether it’s through scrolling through their daily feeds, or looking at instagram stories. The ads are placed as a monetization opportunity.
From the get go, there are some general metrics to look at when looking at it from this point of view.
Users
– Daily Active Users
– New Users
– Retention
– Number of Connections
Engagement
– Time spent on instagram
– Likes
– Comments
– Times Posted
– Times logged onto Instagram a day
– Times you friend somebody
Monetization
– Ad impressions
– Ad clickthrough Rate
The purpose of these metrics is to get a generalized view on how users are interacting with instagram. The business model is built on social networking and so the more time one spends on instagram, the more content they product on instagram, will have a net effect throughout their connections causing more and more people to be engaged with instagram. This will work to cause stability in the product and also help surface more and more ads.
Diving deeper into the funnel, one might be concerned with specific features as it relates to its ability to surface ads.
– Daily Active Users on instagram feed
– Time spent on instagram feed
– Number of posts on instagram feed
– Number of likes on instagram feed
– Number of comments on instagram feed
– Ads impressions on instagram feed
– Ad clickthrough Rate on instagram feed
You can replace instagram feed with other instagram features like Stories. The purpose of these is to get a better picture specific features and if there are optimizations that can be done into the funnel.
Finally, I would look into segmentation of users if that is a strategy that instagram employs. This is to check if the ads are actually surfaced to the right clientel. You can segment all the above metrics into
– Age
– Sex
– Ethnicity
– Country of origin
– Interests
This will help you ensure that the ads are reaching the right people at the right time.
I would look at these metrics both as an absolute numbers, but also as a funnel so you can see where in the funnel you might gain the most from iteration. From before a user join, you can also take a look at sources of download (whether it’s through invites or through Ads). In my previous job, we always look at a catch all metric like LTV where you can compare the lifetime value of a user and the cost it took to get the user.
Typically, when I am looking for success metrics, auxillary metrics and balancing metrics for my products, I do the following:
1. What are the metrics that make my product successful? In this case, my product is – Instagram ads
2. What are the metrics that make my eco-system successful? – In this case, the eco-system is the Instagram news feed and stories overall.
3. What are the metrics that I need to watch out for (which might show negative impact to user experience) because of my product?
If I am looking at the first category of metrics that are exclusive to my product (Instagram ads) – I would look at:
1. Acquisition: Ad impressions (overall)- How many visits actually see an ad in their news feed? Number of impressions per ad type?
2. Engagement: Ad click through rates (overall)- How many visits with ad impressions, end up clicking on an ad? Click through rate by ad type.
3. Monetization/ROI : Ad revenue overall – Overall revenue from impressions, click through rate and conversion at the 3rd party ad site through Instagram. I would also look at revenue by vendor type to see which ads are doing better than the others (to understand ROI for each ad type).
4. I would look for the above metrics and watch performance of these metrics by Age, sex, ethnicity, country, interest segments to again tweak the segmentation of ad viewers and improving ROI of ads.
Second and Third category of metrics: Ecosystem metrics and metrics to watch out for which might show negative impact to user experience
1. Ad frequency: What is the ratio of news feed items/ad ratio? For every 100 instagram entries in your news feed, how many ads do you see? As the ratio of ads/news feed item goes up – what happens? (see next bullet)
2. Impact on Usage and Retention overall: This could be A/B tested – For visits with higher ad/regular feed item ratio vs visits with lower ad/feed item ratio – is there a difference in daily and monthly active usage? What I mean by usage is: Is there a difference in user activity – passive viewing, less time spent per visit, lower length of scroll on visits, lesser likes/shares for visits with higher number of ads vs the opposite impact on visits with fewer ads in the news feed?
3. What is the impact of ad/feed ratio on retention overall – do we see repeat visits decrease for users who see more ads in their news feed?
4. I would also test with static ads vs video ads, shorter length ads vs longer length ads, relevancy algorithm tweaking in addition to number of ads in news feed to see if the overall health metrics around daily/monthly usage and retention can be stabilized.
5. Ultimately I would continue to monitor app store ratings of Instagram, app downloads and app deletes as I watch ad impressions, click throughs and revenue to balance the potential negative effects of ads on the overall experience of Instagram.
Structure brief Clarifying Questions and Assumptions
Define the Product
Who is the user segment here (Target Group)
What are the Core Actions?
What is the Goal?
“Instagram serves as a platform for people to connect, and ads are a catalyst that boost the reach of the people or the product to a wider audience”
What Ads are we talking about here?
-> Story Ads?, Threads?, Posts? Paid Partnership tags?
✅For this conversation, let’s assume we’re talking about the stories and posts
User Segments
The recipients of the ads
The senders of the ads, Advertisers
What are the Core Actions?
Ads Reached-> Ads Viewed->Ads Interacted (Clicked, Shared, Saved), Ads Converted, ROI
For Businesses
Reach per rupee/ money spent
Impressions per money spent
Clicks/CTR
Acquisition/ Activation
How many users/businesses have used ads?
Unique Impressions
Total impressions
Conversion
How many users have had more than 1 ads?
What channel works the best in ads? (Stories, Posts, Suggestions?)
What ad types work the best? Duration, time, etc
Unique Conversions per impression
Total conversions per impression
Engagement
Swipe from the ads
New Followers initiated from ads
Increase in Likes per # impressions
Revenue
Ad revenue from impressions (Cut by Channels like stories, posts etc)
Ad revenue from CTRs
Guardrails (Attrition)
People who clicked ‘Not Interested’
Reports from the ads
For users
The idea is to understand the value that it is bringing to the users without which the product is not bound to success
-> Ads clicked (to understand if the ads shown are relevant enough)
-> Ads per user per session (To gauge if we’re showing optimal count of ads and not being too noisy)
-> Impact of ads per session on session length (Assess impact on engagement)
-> New networks formed via ads (eg followed new people/businesses)
-> Likes per ads shown, similarly comments and shares per ads shown, shares and saves (To understand the user interaction with the ads)
1. My understanding of Instagram and Instagram ads
Instagram is primarily a social media platform that helps people share snippets of their lives and talents with the world. The content can be shared in the form of videos and photos through Stories, Post, and Reels.
Instagram ad is one of the major revenue sources of the platform using which people increase the reach of their content by setting up relevant demography and geography on their ads.
Question to the interviewer - Is my understanding of the platform and the ad correct?
2. Defining product goal
Instagram ads can have multiple goals based on the phase we want to focus and the user category we target. The intent to create an ad would be awareness (of a content piece of a creator or a product of the brand) which will further lead to engagement (interaction with the ads, time spent on the platform) and it will ultimately tie up with revenue (revenue generated through ads for the platform and purchases done for the brand).
Questions to the interviewer -
a. Do we want to focus on any one goal or overall journey of the ads? Overall journey
b. Do we want to consider ads on stories, posts, reels or all of them? All of them
c. What platform to consider - web, app or both? App
d. What OS to consider - Android, iOS or both? Both
e. There are 2 parties involved in this feature - The platform and the advertiser. Should we look at the metrics for both of them or any one of them? The platform
3. User journey
Advertiser
1. The user logs in
2. Decides to create an ad
3. Adds the creative (video or a photo on story or post or reel)
4. Adds the budget, target audience and geography
5. Makes the payment and ad goes live
6. Users start interacting with the ad
Content consumer
1. Logs in to their Insta account
2. Scroll through their stories and post
3. Interact with the ads (like/comment)
4. Visit creator's page
5. Clicks on the buying option on Insta store
6. Makes the payment
7. Returns to her feed
4. Metrics for the platform
All the ad metrics will be looked at as comparison between post and stories and also as an overall performance of the ads.
Awareness (when the user looks at the ad for the first time)1. Total impression on ads (on Day 1, on W1, 0n M1)
2. No. of impression on ad per user (on Day 1, on W1, 0n M1)
3. No. of return users on ad (on Day 1, on W1, 0n M1)
Engagement (when the user like or comments on the ad)
1. No. of likes on ad (on Day 1, on W1, 0n M1)
2. No. of comments on ad (on Day 1, on W1, 0n M1)
3. No. of user who watched the ad have an increase in time spent on the platform
Conversion (when the user clicks on the ad to know more about it)
1. Total CTR on ad
2. CTR/ user
3. CTR/user on day 1 vs CTR/user on week 1
4. Unique no. of page visits through ad
5. No. of purchase through ad
Revenue (when awareness and conversion result in revenue for the platform)
1. Revenue through ad impressions
2. Revenue through ad click
3. Distribution of ad revenue through geographies
4. Distribution of ad revenue through demographies
Attrition
1. No. of people who reported the ad
2. No. of people who closed the ad
5. Prioritisation of metrics
The ads metric can be prioritised based on the goal which we set as awareness, engagement and revenue at the start of the exercise.
Based on the goal, 1&2 of Awareness are very important. They will signify the amount of exposure of the ad. 1&2 of Engagement metric will establish how the ad is being perceived by the users and its impact. 1,2,4&5 of Conversion are important to understand the true appeal of the ad that pushes people to know more about it. All 4 Revenue metrics are important to understand and optimise the ad better. First Attrition metric will provide details on why the ad is not sitting right with a part of the audience.
6. Summary
We talked about the platform and the role of the Ad to set a clear expectation of the feature. This lead us to defining goals (awareness, engagement and revenue) and user journey for the same. Then we indulged into looking at the metric for each phase of the user journey and prioritising it on the basis of the goal we have set for the feature. As a conclusion, awareness metrics will be looked at in detail to understand the ad's performance. It will also help in understanding if there is any improvement in the top of the funnel on Day 7 vs Day 1.
Then engagement metrics will help in understanding the triggers across the geographies that are triggering users to interact with the ad and finally pushing them to make a purchase.
Revenue metrics will be looked from the perspective of optimising the ads to generate more money from it. And also to identify the part of the strategy that is working and double down on it.
Instagram ads – very important revenue stream for meta. Success of this feature decides the money they are making. Instagram mission is to connect people globally, it’s a social network platform which has evolved to serve many kinds of needs of user. For some people, it’s their full time profession as well.
Stakeholders involved in Instagram ads are – advertisers/companies , general users of Instagram.
The features for Instagram ads includes:
post an ad – timeline or story
View an ad
React on ad
Click on ad to redirect to website or app
To measure the success of Instagram ads, I would like to focus on how Instagram ads is making the platform more engaging rather than acquisition because it already has a huge pool of people on the platform and their main aim is to increase retention and engagement.
The metric would include –
Post an ad –
a. # of ad posted
b. # of advertisers/ companies on platform
c. # of ad posted/# of advertisers
View an ad –
a. # of impressions on the ad
b. # of clicks or reacts on the ad
c. # of clicks/ # of impression
My north star metric would be –
# of ads posted
# of impression
Guardrail metric would be –
# ad impression/ user
To check if not many ads are shown to a single user – basically a threshold to ads / user in order to not frustrate the user with loads of
Structure for my answer:
I'd like to start by confirming my understanding of how Instagram works and who the key personas are. From there, it'll be easier to define the key metrics to track.
Advertisers use Meta Ads Manager to create ads and buy awareness, engagement, and conversions to grow their business/brand etc.
Users see ads on a number of channels within the Meta ecosystem, ranging from Facebook Newsfeed to Instagram Stories and Reels to Messenger, etc.
Ads can lead all the way to conversion within the Instagram app (i.e. DTC clothing brand can run an ad that a user sees/clicks and then purchases the product without ever leaving the Instagram app).
For this question, we want to focus on defining metrics to track specifically for Instagram ads.
Goals / the why:
The goal is to attract new advertisers and keep advertisers on the platform, spending more money over time, while keeping users happy with the experience and not feeling inundated with ads, no matter how relevant they are. Advertising revenue is down globally, and as Meta's main revenue source, it's important to trend this back up so that Meta can continue to work on its mission of connecting the world. Public opinion typically does not like ads. An example to illustrate this would be the dominance of subscription ad-free streaming services as opposed to ad-supported ones (i.e. Spotify over Pandora, Netflix over Crackle).
Questions:
Do we want to focus on ads placed in Feed, Stories, and Reels? Are there any Instagram ad delivery channels I'm missing?
How many metrics should we focus on?
User Journeys:
Advertisers:
1. I select an ad goal
2. I enter my budget
3. I create my ad asset
4. I configure my ad placement (Instagram)
5. I target my ad
6. I launch my ad
7. I measure my ad
8. I optimize my ad
9. I stop my ad
10. I run a new ad
User:
1. I see an ad
2. I click an ad
3. I browse products
4. I share a product
5. I select/configure/customize a product
6. I add product to cart
7. I view cart
8. I enter payment and shipping info
9. I confirm and complete payment
10. I receive my product
11. I use my product
12. I write a review
13. I purchase another product from the seller
Metrics to track:
I'd track 2 success metrics and 1 guardrail metric for each persona. I'll base my selections based on the goals we outline and which actions are highly correlated with those goals.
Advertisers:
Output metric #1: Monthly advertising spend
Input metric #1: % of campaigns that reached the expected outcome
Guardrail metric #1: % of new advertisers that advertise on Instagram longer than 3 months
Users:
Output metric #1: ARPU
Input metric #1: Ads viewed per session (this metric is likely the most correlated with user satisfaction and retention)
Guardrail metric #1: % of repeat users within a specified time period
Summary:
I would track both advertiser and user metrics for Instagram ads to know if we're headed in the right direction. Each group would have an input, output, and guardrail metric.
Instagram is a social media platform that allows you to post short videos,images.there are basically 3 types of users-
1.creator
2.viewer
3.advertiser(business people)
The goal of this feature is to generate more revenue also providing advertisers a platform to sell their products.
User Journey:-
1.user comes to the platform
2.sees the content posted by others/he himself posts some content
3.sees ads clicks on the add àgetting interested àbuys the item
Listing the metrics:-
Activation:-
A1: % of people who have used this feature at least once.
Engagement:-
E1: number of ads clicks per user
E2: number of orders initiated vs completed
E3: number of ads uploaded by advertiser
Referral:
R1: number of people who have referred any item to their friends
Retention:
RE1: % people used this feature in this month vs previous month
RE2: % of advertisers who uploaded any kind of ads this month vs previous month.
I would like to prioritize E1,E2,RE1,RE2.
Instagram ads
user journey through ad
user scrolls through feed, user behavior recorded, ad is inserted into feed, user short impression, user long impression, user click, user user lands on the page, user saves it, user plays the ad, the user reads the comments, user likes , user shares it
(ad can placed in
fb/instagram journey through ad
place right ad, place at right gap, share right data to the marketer
marketer journey through an ad
place right amount of content according to fb/instagram restrictions, fb/instagram best practices, campaign data access APIs, campaign analytics resources, budgeting
metrics
i will look at the metrics from user journey and later if i feel i didnt cover the metrics, i will look at other journeys
is it okay to create metrics at overall instagram ads level ?? or am i missing any subtleties ?
impression metrics
- % of impressions (per post per week)
- impression time (per post per week)
- % of clicks (per week)
- % of clicks on video
- % of clicks on photo
- # of comments (per post per week)
- # of likes
- # of shares
- avg user engagement time per week
- % of successful page landings (per week)
- % of fully watched videos
- # of ads per 2 min of scrolling
- # of ads per 2 min of scrolling vs avg user engagement time
- user engagement time
- % of clicks
- impression time WoW
Product:
Instagram ads is a product under the instagram ecosystem that helps the sellers/Marketers post ads to a wider community with the same interest to sell/Market a physical or digital product
Users and value proposition
Ads Creator - They get to reach a wider community in instagram and get new leads and grow their business
Buyers - User get to see new and interesting ads based on their interest and choose one that can benefit them in purchasing new and unique products in line with their interests
North Star Metric:
I would like to focus on the content consumers perspective
Total Number of clicks on a CTA in an ad (example: clicking the install button for an app advertising, Clicking a book now button and filling in a form)
Reason for choosing this metric - It provides value to all the stakeholders
Supporting Metrics:
Adoption
⦁ Total number of users who clicked the ads for the first time
⦁ Total number of users clicking the ads demographics wise
Engagement
⦁ Number of clciks to CTA vs CTR per user per week (A user Might sometmes click an add however after seeing that he needs to fill in some information he might pulll back by clicking back button
⦁ CTR of Ads
⦁ Average number of likes per ad
⦁ Average number of shares per ad
⦁ Average number of saves per ad
⦁ CTR based on the ad type
⦁ Number of Ads that were clicked below the threshold level
Rentension - Total number of users contributed to more than 1 ad clicks in a week
Monetization
⦁ Average CPM, CPA and CPC
Counter Metrics
1. Number of ads that are reported
2. Number of ads that are hiden for view
Tradeoff
1. User get navigated to a different site ane this can stop the user from spending time in instagram - Track time spent on insta
Understanding the Problem
Before we dive into this, let's briefly spend a minute establishing a common understanding of instagram ads. Instagram as a product let's users view and share photos and short form videos. Interwoven amongst these user posts are ads which themselves are either photos or videos and look very similar to user posts. In addition to the standard feed ads, advertisers can also pay for story ads which will be woven inbetween the stories of users. There are also sponsored posts where users can create a post on behalf of an advertister, but for the sake of this discussion I'm going to exclude those.
In order to properly set the stage for this question I think it's important for us to examine this feature, Instagram Ads, in the context of the parent company and it's mission. Facebook's mission as a company is to bring the world closer together and give people the power to build community. By being targeted and inserted natively, Instagram ads furthers this mission statement by enabling advertisers to connect with users in a way that is ideally unintrusive. While obvious it is worth stating Facebook is a for profit company and that ads generate revenue.
Metrics
When it comes to Instagram ads there are two distinct user groups, the users who will see the ads and the advertisers themselves. Each of these groups will have different success metrics so we'll brainstorm some metrics for each of them.
Users
Let's examine metrics through the different steps of the customer lifecycle:
- Awareness, Activation, and Adoption aren't going to be important for users as we the platform control the how ads are displayed to these users.
- Engagement: Average number of ads viewed per user, Average time spent viewing ads, Average number of ad clicks per user.
- Retention: % of users who viewed 20 ads last week and who came back and viewed 20 ads again this week
- Referral: This is kind of niche and I'm making the assumption that it isn't a common action, but we could measure the average number of users tagged in the comments of an ad.
- Monetization: Average CPM per user. Not all users and audiences are made equal. A young professional has a lot more disposable income than that 16 year old babysitter.
---------
Advertisers:
- Awareness, Activation -> Going to ignore these two, IG ads is a pretty well known product at this point.
- Adoption: # of advertisers
- Engagement: Average number of ads per advertiser
- Retention: % of advertisers who spent $200+ on ads last month who also spent $200+ on ads this month
- Referral: Going to ignore this as it isn't as critical. This would be like measuring how many advertisers recommended us to other advertisers.
- Monetization: Average ad spend per advertiser, average profit per advertiser
Prioritization
I think each of the above metrics has it's own purpose, but if we needed to distill this down into a few KPI's I would focus on the following.
In terms of users, I think one of the critical things we really want to measure is how much are we annoying our users by showing them ads. No one really wants to see ads but as a for profit company we need to make money which is why we will show ads even though it provides a worse user experience.
By monitoring the % of users who viewed 20 ads last week and who came back and viewed 20 ads again this week we will be able to successfully measure and monitor our users' sensitivity to being shown ads. If we see that our retention rate is holding steady at a high rate we could even consider making the decision to increase the frequency with which we show ads to users.
In terms of advertisers, I think the most important metric to measure would be the average ad spend per advertiser. As we mentioned above this is primarily a money generating feature. Average ad spend per advertister gives us both indicitation of how much revenue we are making from this feature as well as how much value advertisers are getting out of it. Whether or not advertisers are spending more gives us insight into whether or not our ads are effective.
Downsides
While the above two metrics provide us great insight into instagram ads, no metric is perfect so I think it's worth spending a little bit of time calling out their respective flaws.
% of users who viewed 20 ads last week and who came back and viewed 20 ads again this week:
- This metric doesn't give us much insight into how different types of ads impact the user experience and their tolerance for ads. For example, users might greatly prefer video based story ads over interstitial display ads in the feed.
- This also doesn't give us insight into how well our ads match our users. We might be forcing fitness ads into the feeds of our users who are content couch potatoes or showing your grandmother the latest and greatest BMX bike.
- This doesn't give us much insight into the profile of the advertisers. For example, small businesses with smaller more localized ad spend could be having a terrible experience but a few large national brands could be having a great experience and drawing the metric upwards.
- I also think an argument could be made that this doesn't really tell us about the effectiveness of our ads in driving business for our customers. Are advertisers spending more on ads because they are really effective and they want more business? Or are they spending more on ads because they aren't as effective as they could be and they need to spend more to get a result?
- We also don't know much about the quality of the advertisers. Are we advertising crypto pump-n-dumps to our users because advertisers are willing to pay us?
Clarify:
I am assuming that we just launched Instagram ads and we are trying to figure out how to measure the success of Gram ads? Sure
Are we talking about the ads we see while on the stories or are those the ads shared on feed? Feed.
The product: Instagram is a social media, and e-commerce platform where you can have the engagement with the videos/pictures of the people and it has 90-9-1 rule.
90% of user of the platform just check the content
9% have the engagement with the content
1% create the content
In addition, it can be used as a ecommerce platform since the brands can advertise their products on this platform.
Therefore, if I launch ads on a social media and ecommerce platform, I would expect engagement with ads and conversion rate to understand the success of this platform.
User journey:
- user to open the feed and scroll down
- while scrolling the ads are shown in between the posts
- User can read the ads, like it, share it on their story, send it to the friend, save the ads, click the link go to the website of the product or their insta page
- They can purchase the product
What specific metric do I need to set?
Brainstorming
- How frequently should I show the ads to get the engagement( click or seen)
- How can I know that which ads will be the right ads for the user?
- Is there any inappropriate ads content?
- How many people purchased the product that I advertised?
- Any report/complaint for the content that I share?
- How many people shared the ads?
- How many people added the comment to the ads?
These are the questions I would ask if I launch ads in Instagram.
Here are the metrics that I would keep in order to understand it:
- Engagement of the user if I share ads in every 10 mins/ 20 mins or after every 20 posts/ 30 posts ( this is important bcz we would like to have the engagement on the ads but at the same time we don’t want to overwhelm the user with so many ads)
- time spent on the ads ( does user look into the content or just pass it quickly? So that I can understand if they are interested in the ads or not)
- click rate ( did user click the ads to go into the ads content?)
- conversion rate of the ads ( how many ppl who clicked the ads content purchase the product? )
- any reported/ inappropriate content?
- #of users shared the ads on their story
- #of users shared the ads with the others
- #users saved the ads to look into it again
As an MVP: I would set my metrics around the engagement and revenue in order to understand the success of the ads.
Clarify:
Are we supposed to include video ads as well ?
Are we including the ads posted on insta stories as well?
Note: I am assuming we are only talking about both one’s which are posted as a post as well as the ones which are posted as their instagram stories.
Feature Description: Instagram ads are the medium to advertise your products , events, services , personality etc by posting a video or content with photo or simply photo.
Business Goals -
Marketer: Goals of marketer are many including-
Awareness regarding the product, event, service, personality
Increasing the traffic on website
Sales Conversion
Referral
Instagram Business Goal: To earn revenue from marketers and keep their users well informed about new products and sercives.
User journey: There can be two user journeys depending upon the type of user.
User-1: The one who post an ad
User-2: The one who gets to see the ad in his/her feed or story.
User-1
User will post the ad either post or Insta stories
Might tag business partners or concerned person
Will come back to check response or interact voluntarily or using notifications
Will analyse the impact of ad on its goal
User-2
User could either choose to ignore or read but choose to not respond
If user seem to consider that advertisement- would like or if in hurry could choose to save to see later
If choose to interact
- could comment,
-share with someone else to discuss further
-If its on his story can even share as post, send a message or query, give reaction,
Take actions immediately or later -
Going to the website
Adding to the cart
Making the final purchase
Follow or subscribe if its a subscribe request etc
METRICS
I will go by standard stages (AAAERRR)
Awareness :
# Average No of ads posted monthly ( after the rollout of features)
# Average seen on ad posted as story out of total followers for that marketer/company
#Average impression for an ad in a day
Acquisition/activation:
# Average number of Likes per ad post ( Reaction if its a story)
# % of Instagram users who saved the ad for future reference who happened to see or like
# Average number of click on CALL to action button per advertisement
Engagement:
#Percentage of people who posted an ad tagged someone
# Average no of comments per advertisement
# Avg no of times an ad is shared by user either as his post or to someone else
# % of people who send personal message ( When ad is shared as his/her story)
Retention
No of advertisers who post twice or more than thaT
Revenue
Avg revenue earned per advertisement
Sales conversion percentage
% of people who liked or interacted in any way end up purchasing
Referral
Avg No of referrals per ad
% of people end up purchasing who got referrals
Since the goal is to earn revenue or increase awareness or to get the user click on call to action button. I would go for the following metrics
Average no of like per advertisement
Average comments per advertisement
Avergae no of times an ad us shared
Avergae of people who clicked on call to action button
Sales conversions percentage
For Instagram major goal is to get revenue from advertisers
Avg No of ads posted monthly
No of advertisers who posted more than once
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