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›Getting Started

About

  • Overview

Getting Started

  • Introduction
  • Providing User Data
  • Providing Ad Performance Data
  • Providing Ad Network API access
  • Providing SKAdNetwork Postbacks
  • Receiving user-level LTV projections
  • Receiving pROAS for SKAN

LTV Projections

  • User Guide

Intelligent Automation

  • User Guide
  • Intelligent Automation FAQ

Intelligent Budget

  • User Guide
  • Intelligent Budget FAQ

pROAS for SKAN

  • Campaign pROAS FAQ

FAQ

  • LTV FAQ
  • Organic Lift FAQ

Introduction

Welcome to AlgoLift! We have designed this guide to help new clients get set up with us. There are several components to a successful data integration, which may vary slightly depending on whether you employ every product offered to you. In this guide we will describe the mechanisms for the following:

  • How to provide us the following user-level information to feed our Predictive LTV models:
    • Attribution Data
    • Engagement Data
    • Revenue Data
  • How to provide ad performance data for our Intelligent Budget and Automation systems
  • How to grant access to your ad network accounts for our Intelligent Automation system
  • How to access the outputs of our predictive models for integration with your data processes
  • How to provide SkAdnetwork postbacks and User Properties datasets to enable pROAS for SKAN

Required Data Dependencies

The following datasets and dependencies are required for AlgoLift products. Each product requires a particular subset of the data. We encourage customers to provide all of these as soon as possible to avoid delay later on.

DependencypLTVCampaign pROASIntelligent AutomationIntelligent Budget
Attribution✔✔✔✔
Revenue✔✔✔✔
User Engagement✔✔✔✔
User Properties✔✔*✔
SKAdNetwork Postbacks✔✔*✔
Network API Credentials✔**✔✔***
Network Metrics✔***

*required for automation on SKAdNetwork Campaigns
**required for Google / Facebook postbacks
***can be substituted for one another

Data Product Dependencies

The data you provide us is the foundation for accurate predictive modeling and performant automation. Providing complete and accurate data will allow our systems to efficiently learn and generate value.

Let's get started!

← OverviewProviding User Data →
  • Required Data Dependencies
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