What is AppNava?

AppNava was founded back in 2019 to make apps and games richer and happier. We are a team of four awesome tech and mobile data experts who aspire to bring a revolution to the mobile and digital world. Data-driven solutions and machine learning utilization just run in our blood! This team of four excels at modelling complex user behaviours for mobile apps and predicting the future of your customers. With our experience in data science and engineering, we are putting forth our best to make you thrive. After a year of model development, we are happy to be there for mobile apps and games with data driven insights.

What makes AppNava different?

Know Your Players

Understand and analyze the what, when and why of your players' behaviour. Understand the past; what happened and why! At this stage, machine learning algorithms start being trained.

Predict Next Behaviour

Start predicting how your players will behave in the future even they don't know yet. Our registered machine learning algorithms predict player behavior. AppNava allows you to understand your players much more deeper.

Take Right Actions

Everyone is different in many ways; tastes, lifestyles, expectations… Showing the same offer to everybody does not make sense. Personalize your campaign and game regarding this knowledge.

How AppNava Works?

Connect to the largest mobile ecosystem with integrated partners globally. Just select your analytics partners and measurement tools (AWS, Google Analytics, Game Analytics, etc.). Then, on the receiving side, choose the API that works for you to get access to your data, all of the time. With completed API connection, the mapping system is working to choose the required features/variables from your raw data. Here 80% match is enough to continue to the next steps.

For next steps you can go to this How to Nava page to learn more!

What is a Dashboard?

A dashboard is a visual display of all of your data. While it can be used in all kinds of different ways, its primary intention is to provide information at-a-glance.

A dashboard usually sits on its own page and receives information from a linked database. In many cases it’s configurable, allowing you the ability to choose which data you want to see and whether you want to include charts or graphs to visualize the numbers..

Why Are Dashboards Important?

Dashboards allow all kinds of professionals the ability to monitor performance, create reports and set estimates and targets for future work.

Other benefits include:

• A visual representation of performance, such as with charts and graphs
• The ability to identify trends
• An easy way of measuring efficiency
• The means to generate detailed reports with a single click
• The capacity to make more informed decisions
• Total visibility of all systems, campaigns, and actions
• Quick identification of data outliers and correlations

How to Sign Up?

How to Create My Company?

How to Join a Company?

How to Send Invitation?

How to Add My Game/App?

How to Use Machine Learning Models?

Click Push Data & Choose Models button

Check the models you want to use (For more information about models, check Guides > Prediction Models page)

Write a tag for the dataset

When you click the Done button, a record for each model you selected will be inserted to Data Preparation section

• We will be notified and start working on your models
• When your models are ready, you will be notified by e-mail

How to Use Predictions?

• Go to Firebase Console and define a User Property
• Embed shown sample code in your Unity scripts which sets the user property value depending on the prediction
• Go to Google Cloud Console and create a new Cloud Function with the shown sample code
• Use Firebase Remote Config for taking actions according to predictions
• Post data to the given endpoint
• Prediction will be returned in JSON format
• Take your actions according to predictions

GCP

Below steps describe how AppNava works for Firebase / Google Cloud & Unity customers.

Collect Data

• Add Firebase to your Unity project
• Link your Firebase project to BigQuery

Allow us to pull your data

• Go to Google Cloud IAM

Select the project via Google Cloud IAM 1

The selected project name appears 2
Click Grant Access 3


• The following e-mail addresses are entered from the menu that opens on the side: 4

• [email protected]

• [email protected]

• We need at least three roles to be able to read on Bigquery; search for roles using the search box:
• BigQuery Data Viewer 5
• Bigquery Resource Viewer 6
• BigQuery User 7
• Click Save button 8

AWS

Below steps describe how AppNava works for AWS customers

Collect Data

Allow us to pull your data

• Go to AWS S3 Buckets

Click the bucket you use for event data collection
Select Permissions tab

Scroll down to Bucket Policy section and click Edit.
Enter the Bucket Policy.

Bucket Policy:



 {
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "AppNavaDataPullPolicy",
            "Effect": "Allow",
            "Principal": {
                "AWS": "arn:aws:iam::324464245602:root"
            },
            "Action": [
                "s3:ListBucket",
                "s3:GetObject"
            "Resource": [
                "arn:aws:s3:::<your-bucket-name-here>/*",
                "arn:aws:s3:::<your-bucket-name-here>"
            ]
        }
     ]

• Click Save

Real-Time Integration

Start predicting the future behavior of new players while even they do not know how to behave in the future. AppNava defines player groups who are likely to complete a specific action and conversion events. So you can engage with players before they churn; attract players who are likely to complete in-app purchases and much more. Also with AppNava, you can choose the right balance between segment size and accuracy.

                            curl --location --request POST ‘https://prediction.appnava.com’ \
--header ‘Content-Type: application/json’ \
--data-raw ‘{
	“user_pseudo_id”: “$$YourPlayerID$$ ",
	“x-api-key”: “hAvMmoB08QqH2jzfSp1ZCatPFdnDuN50”
	“conversion_value”: “$$True/False$$ ",
	“firstSession”: “$$True/False$$ ",
	“prediction_id”: “$$Will be an integer$$ ",
	“conversion_value”: “True ",
}’

 return {
    "isBase64Encoded":False,
    "statusCode": 200,
    "headers": {},
    "body": json.dumps(
        {
            "requestResult": 1,
            "requestResultMessage": "There is no data to display for this player.",
        }
    ),
}

 return {
    "isBase64Encoded":False,
    "statusCode": 200,
    "headers": {},
    "body": json.dumps(
        {
            "requestResult": 1,
            "requestResultMessage": "Prediction succeeded.",
            "predictionResult": Churn OR NotChurn,
        }
    ),
}

ROI and ROAS Calculator

Learn what ROI and ROAS are and how to use the calculator!

ROI definition

ROI stands for “Return on Investment.” Essentially, it’s a measurement of the return on a particular investment, relative to the cost of the investment. In other words, it’s a ratio between your net profit and investment. There’s a simple formula that you can use to work out the ROI: ROI = (Net Profit / Net Spend) x 100

ROAS definition

ROAS stands for “Return on Ad Spend.” ROAS can help you determine the efficiency of your online advertising campaigns by calculating the amount of money your business earns for each pound it spends on advertising. You can use the following formula to calculate ROAS: ROAS = (Revenue Generated from Ads / Advertising Spend) x 100.

The difference between ROI and ROAS

When it comes to ROI vs. ROAS, there are a couple of major differences. Firstly, ROAS looks at revenue, rather than profit. Secondly, ROAS only considers direct spend, rather than other costs associated with your online campaign. In a nutshell, ROAS is the best metric to look at for determining whether your ads are effective at generating clicks, impressions, and revenue. However, unlike ROI, it won’t tell you whether your paid advertising effort is actually profitable for the company.

Should I use ROI or ROAS?

When you consider ROI vs. ROAS, it’s important to remember that it isn’t an either/or situation. Whereas ROI can help you understand long-term profitability, ROAS may be more suited to optimising short-term strategy. To craft an effective digital marketing campaign, you’ll need to utilise both the ROI and ROAS formulas. ROI provides you with insight into the overall profitability of your advertising campaign, while ROAS can be used to identify specific strategies that can help you improve your online marketing efforts and generate clicks and revenue.

Do you want to know about the titles of the fields you need to enter into the calculator?

Read below for more info!

LTV

LTV is lifetime value. This is the estimated value that you expect to extract from the player. It makes more sense to couple this lifetime value with a number of days during which the user interacts with the product (the game in this case). This enables us to study whether we are on the right track, and to reason about the product. So, LTV365 is the expected (read average) value or revenue we get from a player after 365 days or 1 year after coming into contact with the game for the first time.

Retention

Retention is a measure that will tell us how the players will keep interacting with the game. Day 1 retention (D1), is a percentage of how many players returned to the game after launching it for the first time (D0). The higher the retention, the better because it means that players keep coming back, so there is something about the product/game/app that motivated them to return.

ARPDAU

ARPDAU is average revenue per daily active user. This metric is very convoluted. By itself, it doesn’t say much. An ARPDAU of 2€ says very little. If you have a restaurant and DAU (daily active user), is the number of customers that walk in, 2€ ARPDAU might leave you bankrupt. For a mobile game, if you create a compelling title where on average you get 2€ per daily active user then you might have struck gold.

CPI

CPI is the cost per install. Lately, User Acquisition (UA), is an integral part of the business model of scaling F2P mobile games. And with more and more publishers paying to acquire users, the market is getting more and more competitive, and the cost per install and acquiring a new player is going through the roof.

UA

So User Acquisition works just like the old fashioned advertisements. You pay upfront, to get customers/players/users walking in, and hopefully, those that convert (end up buying something), will make up for the price of the advertisement and yield some extra revenue. So it’s an upfront investment and in order to minimize the risks associated with this investment, we have to study and predict how we will make the money back with a profit.