Welcome to Polaris

• Step-By-Step Onboarding Guide

  Welcome to Polaris. By now you should have received your login credentials, so we want to take this opportunity to share the steps necessary for a successful partnership. Having worked with a large number of companies wanting to explore incrementality, we have identified some key stages to follow. Stage 0: Understand the Techniques This prerequisite stage makes it much easier to interpret and trust the incrementality data provided by Polaris by giving you a basic or even deep understandiFeatured

• Understanding Incrementality Measurement

  Polaris uses two techniques to measure incrementality: Media mix modeling Incrementality experiments It is important to understand these techniques, at least at a basic level, so you have confidence in the incrementality measurement Polaris provides. The resources linked in this article will give you that necessary knowledge. General These resources contain information about incrementality measurement in general as well as the basics of media mix modeling and incrementality expeFeatured

Understanding Input Data

• Marketing Data Overview

  Marketing data includes daily aggregations of ad spend and impressions. It helps us model the marketing effect on app performance. Dimensions Marketing data should be aggregated at the most granular level supported by each channel or media partner. The granularity can be different per channel or media partner, and will be the same level at which incremental measurement results will be reported by us for each. Supported dimensions are: Date Channel Campaign Country Source App TheFew readers

• App Events Data Overview

  Daily aggregated app event data is necessary for indicating app performance so a model can be trained to quantify the contributions of each marketing source and control variable. Data must always be cohorted by install date. Dimensions App event data can be aggregated for an app at the country level only or at a deeper level of granularity by including dimensions and metric breakdowns provided by last touch attribution. Including last touch attribution dimensions enables comparison between lPopular

Importing Input Data

• Data Sharing

  Overview Broadly, there are two types of data imports: Historical: 3 to 12 months of historical data, aggregated daily Ongoing: only new data since the last sync, aggregated daily There are also two categories of data. Marketing: spend and impressions App events: performance metrics The marketing and app events datasets are quite different in terms of dimensions and metrics. It shoulFeatured

• AppsFlyer Integration

  Our AppsFlyer integration uses the Cohort AppsFlyer API. Marketing and App event data are pulled from the Cohort API. Due to various limitations, the API provides complete marketing and app events data together on its own. To enable the integration, simply follow the steps below. Login to the Polaris dashboard and click Data in the sidebar navigation. Find AppsFlyer and click Integrate. Enter your AppsFlyer V2.0 API Token in the box labeled Cohort and Master API Key. Leave everythiFew readers

• Adjust Integration

  Our Adjust integration is based on the Adjust KPI Service. To enable the integration, simply follow the steps below. Add a user to Adjust with the email address adops@metric.works. Grant the user the Reader role. Share your Adjust Account ID with your GM or the Customer Support team. If you want to import revenue, also grant the Revenue Data permission. Login to the Polaris dashboard and click Data in the sidebar navigation. Find Adjust and click Integrate. Enter your AdjuFew readers

• Singular Integration

  Our Singular integration is based on the Singular Reporting API. To enable the integration, simply follow the steps below. Login to the Polaris dashboard and click Data in the sidebar navigation. Find Singular and click Integrate. Enter your Singular API Key. Leave everything else default. Click Save. If you want to import metrics other than the defaults of Installs and Revenue Amount, you must also share the names of those Singular cohort metrics with your Customer Success ManFew readers

• Data Validation

  You've imported your data into Polaris based on a data partner integration or a custom export uploaded to S3. Things to look out for once logged into Polaris: Make sure your source of truth data matches with the data in the Polaris Analytics page Review the data considerations and make sure the data in the Polaris Analytics page adheres to all of them (pay special attention toFew readers

Using Custom Input Data

• Custom Export

  In cases where sharing via data partner isn’t possible or preferable, data can also be custom exported from your internal systems and shared with us via a secured S3 bucket. File Requirements File Naming Each file uploaded to S3 must include two components in the file name: The category of data (marketing or events) A .csv or .csv.gz (if GZIP compression is used) extension Other than the requirements listed in this section, files can have any name and prefix (foldPopular

• Custom Marketing Data

  Column Headers Marketing data must be custom exported in CSV format like the following example header row. It is important to use the exact column headers shown in the example below. For files that contain data for multiple apps, the following example header row must be used instead where each line specifies the app's store ID in the Store ID column.Some readers

• Custom App Events Data

  Column Headers App events data must be custom exported in CSV format like the following example header row. It is important to use the exact column headers shown in the example below. The cohort day is specified in each metric column header as a “Dn” suffix where n is the cohort day. The example includes D0 and D1, but your file should include all cohort days selected in your pricing plan.Popular

• AWS CLI S3 Upload

  If you are unfamiliar with S3, this article will detail step-by-step how to upload files to S3 for import into Polaris via the AWS CLI. Each step contains a link directly to the relevant AWS help page for further instructions. Download and install the AWS CLI for your platform Configure the CLI's credentials (access key ID and secret access key) and region (https://docs.aws.amazon.com/cli/latest/userguide/geFew readers