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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.
In my daily interactions with developers and publishers, one question that often comes up is: How can I quickly monitor what my competitors are doing? You may not be aware, but we have a very powerful feature on our platform that can perfectly address this issue. Let me introduce you to this feature. This feature is called Alerts and its entry point is very obvious, yet it is often overlooked by many. You can find its icon in the top right corner. Clicking on it will take you to the alerts creation interface, where you can monitor specific products or competitors, as well as noteworthy emerging products in the market. There is a lot of customization available here. For example, you can choose to receive an alert when a competitor's store icon changes, or when a specific publisher releases a new product or is in soft launch. Ultimately, these alerts will be sent to you in the form of emails or mobile push notifications (requires installation of the data.ai Pulse). If you want to make an
data.ai users commonly ask question about data.ai’s methodology.Today, I’ll go through data.ai’s methodology and explain it as easy as possible. Both “download” and “store revenue” estimations are based on the rank history in the app stores (App Store / Google Play Store). Download Ranks of “Among Us!” in US (iOS)Download estimation in US (iOS)In the same way, data.ai estimates “store revenue” based on the trend of rank history. data.ai has stored more than 1 million first-party data from all over the world. (From data.ai ConnectPlus)As you can see, “Among Us!” ranked 26th in Oct 2023 (US). With both the global first-party data and rank history of “Among Us!”, data.ai is able to estimate its volume of downloads on a daily basis. In essence, this is how data.ai estimates “download” and “store revenue”. Take Note: data.ai has never used first-party data directly for each app’s estimated data on the UI and has always followed SEC compliance.
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
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!
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!
In today's fast-paced world, time is an invaluable resource, and optimizing your workflow can significantly impact your productivity. Here are some valuable tips and techniques to help you work more efficiently and save precious time when conducting analyses with data.ai: 1.) Save your Reports:Rather than repeatedly configuring filters for the reports you frequently access, make use of the "Favorites" feature. This convenient option allows you to save all your selected filters, such as app groups, metrics, and date ranges, for quick and easy retrieval.To add a report to your favorites, simply click on the star icon located in the top right corner of the page. All your saved reports can then be accessed effortlessly from the main dropdown menu on the left. 2.) Custom Dashboards:Custom Dashboards provide a tailored solution for generating personalized reports and insights centered around your key performance indicators (KPIs). Once you've set up your dashboard, updating the date range is
We’ve all looked at one of our competitors and saw a spike in downloads that line up with a known acquisition campaign, but is that a direct indicator of success? Or is it just “surface” success? Let’s take a look at how to understand that, in a matter of minutes, without having to spend lots of time looking at numbers. First - we’ll need a group of apps to compare. Head to the compare report, which lives in the left hand navigation pane and under “Compare”. At the top left, you’ll have a filter that allows you to either select a group that you’ve already created, or create a new one if you haven’t. Search for apps that you’d like to compare, and hit the + icon to add them to the group In the example below, I’ve just got one app selected. Here we can see a clear increase in their downloads since June. There’s obviously weekend spikes in here too, but the trend is increasing. This app is running an acquisition campaign. It looks like it’s succeeding, but how should we measure the suc
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
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
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.
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