Ask the Community
Do you have a question about a specific use case? Here's your space!
Hello to everyone,I am facing an issue while try to calculate the average ratings of an app using the following fields (returned by the API calls):one_star_incremental two_star_incremental three_star_incremental four_star_incremental five_star_incremental total_count_incrementalIn order to calculate the average ratings of an app for period X, i would use the following formula (for all the record in that period):sum(one_star_incremental+ 2* two_star_incremental+ 3* three_star_incremental+4*four_star_incremental + 5*five_star_incremental) / sum(total_count_incremental)This formula returns wrong data compared to the dashboard I created on data.ai portal. Can someone help me?Thank you!
To acquire players from the west, we are running ads on fb, instagram, google, putting out content on our game pages. Is there any specific better way that we are missing out on? Do you guys know any agency or a person who has expertise in UA specifically for western market in F2P casual mobile games?
What according to the community are the key metrics to track a new game when launched? If D1/D7 retention, engagement metrics are to be considered, can anybody suggest what are the industry benchmarks to stay at for these metrics for considering to continue working on the game? PS- Making this open ended irrespective of genre. Maybe the replier can help us understand what benchmark to consider for the respective metrics/ genre.
I often find myself creating groups of apps to conduct analyses on, generally because I’m looking at a specific segment that’s not defined by Data.ai or because I have a specific type competitor I want to analyze. Often, I sift through long lists of apps through reports like the app explorer or top apps, and need to click each app I want to compare ( “Select objects to compare”) or add to a group individually. Is there a faster way to do this?For example, say I want to select 20+ consecutive apps in a list, my instinct would be to select the first app in the list, hold down shift, then select the last app in the list of consecutive apps, with the expectation that all the apps in between will be selected. This is not possible though, it simply selects the text in the list instead of the checkboxes.
Hi to everyone,I used data.ai API (specifically portfolio/app-store end) to obtain data about all the ratings of an app for the last month but I can’t figure out how to calculate the rating for that period from raw data like this:I read online that Google is now weighing recent ratings more heavily than historical ratings, so using a simple formula like the following one will return incorrect rating:RATING NUM = MAX(0,[@[one_star_incremental]])+2*MAX(0,[@[two_star_incremental]])+3*MAX(0,[@[three_star_incremental]])+4*MAX([@[four_star_incremental]],0)+5*MAX([@[five_star_incremental]],0)RATING DEN=MAX(0,[@[one_star_incremental]])+MAX(0,[@[two_star_incremental]])+MAX(0,[@[three_star_incremental]])+MAX([@[four_star_incremental]],0)+MAX([@[five_star_incremental]],0)OVERALL RATING FOR LAST WEEK = sum(RATING NUM) / sum(RATING DEN) Can someone help figuring out what weights should I give to the most recent reviews?Thank you!
disclaimer: I am the CPO of Trackingplan, a SAAS observability and data quality solution for digital analytics and marketing dataBased in your experience, I would like to know how you currently detect problems in your data and how much effort does it take to maintain a minimum of quality?- Do you have a dashboard to monitor them?- Do you carry out manual QA processes from time to time or per release?- Do you have automated tests?- etc…Thank you in advance
I have some questions related to top charts.Q1: Data.ai shows the overall top charts which includes games & apps too. but on google playstore we can only see top charts with respect to games & apps separately. My questions is how data.ai collects such type of overall data.Q2: How does data.ai shows the top charts data on analyzing which KPI, how does other app stores rank app under what KPI.
Hello data.ai Community, My name is Taylor Lundgren and I’m the Product Marketing Manager for Mobile Adtech & UA here at data.ai. We're so excited to announce the launch of the Mobile Monetization Guide! We invite you to join in on this special Community conversation dedicated to discussing the Mobile App Monetization guide's content and related topics. If you have any questions, thoughts, or need clarification on anything in the guide, please comment below and you’ll be able to engage with the guide’s creators and your peers to gain additional and valuable insights. Guide Details:We worked with a great partner in Google to produce this new guide which covers tips, tricks and best practices for mobile app monetization. This is a key resource to help you boost your revenue, optimize your monetization strategy or discover how to streamline your acquisition-to-purchase pipeline.We've broken the report down into a few sections : Market and Product Overview Global Market Data Monet
Have you read the State of App Revenue 2023 Report yet? Our team at data.ai is thrilled to share our latest app revenue report revealing never-before-seen insights into the complete picture of mobile monetization!READ THE BLOG POST HERE. ----------------------------- The app economy is worth ~ $500 billion, of which $336B (67%) comes from advertising and $167B (33%) from in-app purchases. Apps including Instagram and TikTok captured roughly 65% of this advertising spend, while games snagged 35%. This is the opposite of the dynamic seen with in-app purchases, where games account for the majority of app store consumer spend at 66%, while apps capture the smaller portion at 34%. Mobile advertising spend is not only a bigger chunk of the total revenue, but it also grew much faster at 14% YoY in 2022 despite significant headwinds such as General Data Protection Regulation (GDPR) in Europe and Apple’s App Tracking Transparency. App store consumer spend on the other hand decreased slightly in
In data.ai’s Insider Tips report, we outline just how vital Total App Revenue is for your app in our five Insider Tips.Learn everything from optimizing your ad networks to strategizing for your genre by digging into your competitor’s successes. And discover how two leading brands (Voodoo and Badoo) implemented winning monetization strategies based on ad revenue and IAP.Total App Revenue empowers you to identify the revenue streams making up the $500 billion mobile economy.Check out the latest report to see how you can anticipate your competitor’s monetization plan (before they do) – and your app can be more profitable than ever.
TikTok continues to redefine what’s possible in mobile monetization. In Q1 2023, TikTok became the first app to ever surpass $1 billion in consumer spend in a single quarter. Honor of Kings, a game and the second best app, earned $570 million in global consumer spend across iOS and Google Play, while YouTube rounded out the top three with more than $530 million. Consumer spend totals alone do not reveal how much of a unicorn TikTok is in terms of in-app purchases. While nearly 70% of in-app purchase spending in non-game apps comes from subscriptions, TikTok bucks this trend by relying on one-time purchases (typically more popular among gaming) to gift to their favorite streamers. TikTok is the only non-gaming title among the top 10 by one-time purchase revenue in the United States, leading hit games like Candy Crush Saga, Roblox and Pokémon GO. The social video giant has built a large and loyal fan base, allowing it to forgo the reliability of the subscription model and instead rake in
Hello data.ai Community,Our Support team took some time to put together a little article that tackles a question they frequently receive. If you have any further questions on this topic, feel free to comment below. Sometimes customers will try to compare Active User data from the “Compare” report with the “Usage” report, or API 1.3 and they will see a discrepancy in the numbers presented. Reports: Compare app Usage Report This is expected for the following reason: Root Cause:The “Compare” report does not include Tablets. On the bottom of the report you can see this message displayed: “Usage metrics for ‘all supported devices’ do NOT include tablets:” Now if you check this data on the “Usage” report and segregate by device, you will see that we take Tablets into consideration: In short, we have 5142 AU coming from tablets (which is not considered on the “Compare” report). Lastly, the “API 1.3” numbers take Tablets into consideration (so it will match the “Usage” report, but not the
Hello data.ai Community.We’re excited to share another amazing story about 3dot14! Who is 3dot14?3dot14 is a mobile first demand-side platform (DSP), helping marketers around the globe acquire high value users for their apps. Their machine learning technology enables them to drive user acquisition and retargeting at scale for clients, which includes the likes of Amazon, Gojek, Lazada, and Plarium Games. Key Results2x increase in leads per month since using data.ai Improved conversion rate by 50% with data.ai Intelligence Increased average revenue per advertiser by almost 60% When our team sat down with Afraz Naqvi, co-founder of 3dot14, he shared: "I created an alert that informs me whenever there is a spike in downloads in finance apps in India. We were able to onboard 50-70% more advertisers per month due to our proactiveness, which was a direct result of us setting up those alerts.” To watch the video, click here. ChallengesFrom the outset, 3dot14 utilized the free version of data.
Want to keep track of which other apps or games are competing for your users’ time? And even further, quickly check which new and emerging apps and games your own users are now using?data.ai’s Top Apps Report sorted by Active Users and App Used helps answer these questions quickly. To reach this reportNavigate to our Top Apps Report Select App Store Categories Filter by Active Users Select either iPhone or Android phone Select Weekly or Monthly date Granularity Input your app or a competitor app into the “App Used” filter In the example above, we are analyzing Monopoly Go’s Android Users in the United States for the last three months, and we can see how many of their users are playing other games such as Roblox, Pokemon Go, and competitors like Coin Master, and how the usage in those apps are trending compared to the previous 3 month period. To quickly identify new apps or games and emerging competitors for your users time, sort the table by “Change % Period Over Period” and then
Login to the Community.
Enter your username or e-mail address. We'll send you an e-mail with instructions to reset your password.