Webinar

How You Can Make Use of Localytics Raw Data

06/14/17

Meet Your Hosts

Aaron SawitskyLocalytics

Head of Product Marketing

Kristina LisackiLocalytics

Account Manager

Marc TollinLocalytics

Product Manager

Agenda

Intro

Options for Accessing Raw Data

Use Cases

Direct Access Demo

What is Raw Data

Q & A

Raw Data

What Is Raw Data?

Every Session Open, Event, and Session Close is captured

by Localytics, time-stamped and recorded as a unique data

point.

This is known as Raw Data.

What Is Raw Data Used For?

Simply put, if you want to explore something that’s not

shown in our Dashboard reports, raw data is the answer:

• Execute custom queries and perform cross-app reporting

• Evaluate user-level behaviors

• Integrate Localytics data with data from other sources for an omni-channel

view of customers

Accessing

Raw Data

What Are the Options for Accessing Raw Data?

1. Raw Data Log Exports: Event and Session data are

written in JSON format and is published hourly as log

files in a dedicated bucket in Amazon S3.

1. Direct Access: Enables access to raw session, event,

and Profile data in real time. You can also connect BI

tools like Tableau and Looker to Direct Access.

Raw Logs vs. Direct Access

Use Cases

Run queries across all your apps and

understand how users move from one app to the

other

Examples:

• “How many users across my iOS, Android,

web performed a purchase event in the last

30 days?”

• “What is the average LTV of users who sign

up on iOS and perform a checkout event on

iPad?”

Cross-App Queries

With raw data, you can identify and analyze all

data points created by a specific user (assuming

your app hasn’t blocked the capture of PII).

Examples:

• “User 123 experienced a crash, what did they

do leading up to the crash?”

• “User 456 is one of our most loyal customers,

do they behave differently from our average

customer when interacting with our app?”

Evaluate Behavior of Specific Users

By joining raw data with data from other sources,

you can obtain an omni-channel view of

customers and understand how they move

between your brand’s marketing channels.

Examples:

• “Out of the users whose last in-store visit was

within the last 30 days, how many of them

have performed a mobile Check Out event?”

• “If we Tweet at a user, do they become more

active in our app?”

• “Are customers who actively use our app less

likely to call customer service?”

Obtain an Omni-Channel View of Customers

With Direct Access, you can connect your app’s

usage data with your users’ Profile information to

understand more about what types of users are

performing specific actions.

Examples:

• “Out of the users whose favorite category is

clothing, how many of them have performed

a mobile Check Out event?”

Analyze Profile Data

Since you have all your session, event, and

Profile data, you can use Direct Access to

construct incredibly complex Audiences.

You can also evaluate the health of an Audience

by looking at its users’ downstream behavior or

even export your Custom Audiences to other

systems.

Examples:

• “iOS users who abandoned cart on the web”

• “Premium Subscribers who are using my app

on both iOS and Android devices”

Build Custom Audiences

Direct Access

Why Direct Access?

EasyWhenever you need a

question answered, simply

type in a SQL query. You

can even connect a BI Tool

like Looker or Tableau for

enhanced reporting.

More EfficientYou pay your data scientists

to run queries, not to

maintain a complex ETL

process. Direct Access

eliminates this busy work,

letting your team get back to

what they do best.

No WarehousesSince we store all the raw

data for you, there is no

need for an expensive data

warehouse or the

headaches that come with it.

BI Integrations

Direct Access has plug and play integrations with

the following business intelligence tools:

…and more

upday is Europe’s largest news app with over 8 million

active users.

The team at upday was experiencing significant pain

around:

• Growing data storage costs

• Engineering time wasted on ETL process

• Difficulty collecting and sharing data across the org

By using Direct Access, they obtained:

• 60% Reduction in data storage costs

• 10% Engineering time freed up

Case Study - upday

How It Works

• Direct Access is available via the Snowflake cloud-based data warehousing solution.

• Connect your BI Tool and other applications via Direct Access

• Single source of truth: With Direct Access, you are looking at the exact same data that

powers the Localytics Dashboard

How It Works

Demo

Questions?