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Unity SDK

Getting Started

The following will outline how to get up and running with Statsig for Unity.

Create an Account

To work with the SDK, you will need a Statsig account. If you don't yet have an account, go ahead and sign up for a free account now.

You could skip this for now, but you will need an SDK key and some gates/experiments to use with the SDK in just a minute.

Installation

The project is on GitHub. You can add the package to your Unity project via "Package Manager" -> "add package from Git URL" -> enter https://github.com/statsig-io/unity-sdk.git (be sure to include the .git part in the URL)

Initialize the SDK

After installation, you will need to initialize the SDK using a Client SDK key from the "API Keys" tab on the Statsig console.

These Client SDK Keys are intended to be embedded in client side applications. If need be, you can invalidate or create new SDK Keys for other applications/SDK integrations.

info

Do NOT embed your Server Secret Key in client side applications

In addition to the SDK key, you should also pass in a StatsigUser for feature gate targeting and experimentation grouping purposes.

The 3rd parameter is optional and allows you to pass in a StatsigOptions to customize the SDK.

It is important to make sure API calls to Statsig are made from the main thread to ensure everything functions correctly. Operations that take longer like network requests are made asynchronously so they will not block the main thread.

using StatsigUnity;

await Statsig.Initialize(
"client-sdk-key",
new StatsigUser { UserID = "some_user_id", Email = "user@email.com" },
new StatsigOptions // optional parameters to customize your Statsig client, see "Statsig Options" section below to see details on available options
{
EnvironmentTier = EnvironmentTier.Development,
InitializeTimeoutMs = 5000,
}
);

Working with the SDK

Checking a Gate

Now that your SDK is initialized, let's check a Feature Gate. Feature Gates can be used to create logic branches in code that can be rolled out to different users from the Statsig Console. Gates are always CLOSED or OFF (think return false;) by default.

if (Statsig.CheckGate("show_new_loading_screen"))
{
// Gate is on, show new loading screen
}
else
{
// Gate is off, show old loading screen
}

Reading a Dynamic Config

Feature Gates can be very useful for simple on/off switches, with optional but advanced user targeting. However, if you want to be able send a different set of values (strings, numbers, and etc.) to your clients based on specific user attributes, e.g. country, Dynamic Configs can help you with that. The API is very similar to Feature Gates, but you get an entire json object you can configure on the server and you can fetch typed parameters from it. For example:

var config = Statsig.GetConfig("awesome_product_details");

// The 2nd parameter is the default value to be used in case the given parameter name does not exist on
// the Dynamic Config object. This can happen when there is a typo, or when the user is offline and the
// value has not been cached on the client.
string itemName = config.Get<string>("product_name", "Awesome Product v1");
double price = config.Get<double>("price", 10.0);
bool shouldDiscount = config.Get<bool>("discount", false);

Getting an Layer/Experiment

Then we have Layers/Experiments, which you can use to run A/B/n experiments. We offer two APIs, but we recommend the use of layers to enable quicker iterations with parameter reuse.

// Values via getLayer

var layer = Statsig.GetLayer("user_promo_experiments");
var promoTitle = layer.Get("title", "Welcome to Statsig!");
var discount = layer.Get("discount", 0.1);

// or, via getExperiment

var titleExperiment = Statsig.GetExperiment("new_user_promo_title");
var priceExperiment = Statsig.GetExperiment("new_user_promo_price");

var promoTitle = titleExperiment.Get("title", "Welcome to Statsig!");
var discount = priceExperiment.Get("discount", 0.1);

...

double price = msrp * (1 - discount);

Logging an Event

Now that you have a Feature Gate or an Experiment set up, you may want to track some custom events and see how your new features or different experiment groups affect these events. This is super easy with Statsig - simply call the Log Event API for the event, and you can additionally provide some value and/or an object of metadata to be logged together with the event:

Statsig.LogEvent(
"purchase",
"new_player_pack",
new Dictionary<string, string>() {
{ "price", "9.99" }
}
);

Statsig User

You should provide a StatsigUser object whenever possible when initializing the SDK, passing as much information as possible in order to take advantage of advanced gate and config conditions (like country or OS/browser level checks).

Most of the time, the userID field is needed in order to provide a consistent experience for a given user (see logged-out experiments to understand how to correctly run experiments for logged-out users).

If the user is logged out at the SDK init time, you can leave the `userID` out for now, and we will use a stable device ID that we create and store in the local storage for targeting purposes.

Besides userID, we also have email, ip, userAgent, country, locale and appVersion as top-level fields on StatsigUser. In addition, you can pass any key-value pairs in an object/dictionary to the custom field and be able to create targeting based on them.

Once the user logs in or has an update/changed, make sure to call updateUser with the updated userID and/or any other updated user attributes:

// if you want to update the existing user, or change to a different user, call UpdateUser.
// The API makes a network request to fetch values for the new user.

await Statsig.UpdateUser(
new StatsigUser { UserID = "new_user_id", Email = "new_user@email.com" },
);

Private Attributes

Have sensitive user PII data that should not be logged? No problem, we have a solution for it! On the StatsigUser object we also have a field called privateAttributes, which is a simple object/dictionary that you can use to set private user attributes. Any attribute set in privateAttributes will only be used for evaluation/targeting, and removed from any logs before they are sent to Statsig server.

For example, if you have feature gates that should only pass for users with emails ending in "@statsig.com", but do not want to log your users' email addresses to Statsig, you can simply add the key-value pair { email: "my_user@statsig.com" } to privateAttributes on the user and that's it!

Statsig Options

Initialize() takes an optional parameter options in addition to clientKey and user that you can provide to customize the Statsig client. Here are the current options and we are always adding more to the list:

  • EnvironmentTier

    • type is an enum EnvironmentTier with available values Production | Development | Staging;
    • you can use this to set the environment tier that the user is in, and targeting rules for that specific tier will apply. This is useful if you only want to enable a feature in Development tier, for example.
    • the default value is null, and only users who have null or Production as their environment tier will be included in Pulse metric calculation.
  • InitializeTimeoutMs

    • takes a non-negative integer, and default value is 5000;
    • this option specify the maximum time Statsig.Initialize() will take to complete;
    • the Initialize API makes a network request to fetch the latest feature gate and experiment values for the user, and this option is useful if your game waits for the API to return, but do not want it to wait for too long in case the user has poor connectivity.
  • LoggingIntervalMs, int, default 60,000

    • sets the interval for the SDK to periodically flush all logging events to Statsig backend.
  • LoggingBufferMaxSize, int, default 100

    • sets the maximum number of events the SDK's logger will batch before flushing them all to Statsig backend.

Shutting Statsig Down

In order to save users' data and battery usage, as well as prevent logged events from being dropped, we keep event logs in client cache and flush periodically. Because of this, some events may not have been sent when your app shuts down.

To make sure all logged events are properly flushed or saved locally, you should tell Statsig to shutdown when your app is closing:

// This function is async, and you can choose to await for it so that we make sure all the
// events that are yet to be flushed get flushed
await Statsig.Shutdown();

FAQ

How do I run experiments for logged out users?

See the guide on device level experiments