guide to cross-device measurement solutions

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A Buyer’s Guide to Cross-Device Measurement Solutions UK

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Page 1: Guide to cross-device measurement solutions

A Buyer’s Guide to Cross-Device Measurement Solutions

UK

Page 2: Guide to cross-device measurement solutions

Sum

mar

yAs technology continues to evolve at a rapid pace, so do the shopping habits of consumers.

Today’s shoppers are tech savvy and move from one device to another on the way to a conversion.

If the goal is to provide a seamless experience across all screens, brands must have a clear understanding of their clients’ multi-device consumption.

Intr

oduc

tion

Page 3: Guide to cross-device measurement solutions

Shopping for a solution To truly understand consumer behavior, you need to identify the role different devices play in the user journey.

To effectively do this, we have compiled a guide of things to consider when choosing a cross-device measurement solution.

1. Look for any joins you already have

2. Look for ways to enhance the data

3. If you can’t find them, buy them

4. Use deterministic data to give you confi- dence about your probabilistic approach

5. Use the data to take action

Page 4: Guide to cross-device measurement solutions

LOOK FOR ANY JOINS YOU ALREADY HAVE

1

Page 5: Guide to cross-device measurement solutions

The first step to understanding the customer journey is to look inwards to see what first party data you already have.

It is likely that you will have joined data within your organisation including:

• Your customer database

• Email newsletter database

• Webinar registrations

Whatever solution you go with, you should be able to integrate this data and build from there.

Page 6: Guide to cross-device measurement solutions

LOOK FOR WAYS TO ENHANCE THE DATA

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Page 7: Guide to cross-device measurement solutions

Work with your measurement provider to add to your current data set.

Your solution should allow for importing any first party data

where a user provides something that is consistent across

devices like an email address, customer id or login.

Your provider should be able to create deterministic joins based on first party data collected and joined by user IDs. Keep in mind, you are not going to get every match right--no data is 100% accurate. There are circumstances that make the data less accurate, such as when multiple people use the same machine or when households share an email address.

Personally identifiable information (PII) data must be hashed and encrypted to safeguard users’ privacy at all times.

Page 8: Guide to cross-device measurement solutions

IF YOU CAN’T FIND THEM, BUY THEM

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Page 9: Guide to cross-device measurement solutions

Your data can only get you so far.

Whether your provider buys the data or creates it themselves, this is where probabilistic joining comes in.

Probabilistic identification involves fingerprinting devices using a variety of attributes, such as:

• The number of cookies stored

• Device IDs

• Public data such as IP addresses

• Behavioural data, including the movement ofdevice geographically across time

All of these factors are combined to connect disparate devices to the same user.

Page 10: Guide to cross-device measurement solutions

USE DETERMINISTIC DATA TO GIVE YOU CONFIDENCE ABOUT YOUR PROBABILISTIC APPROACH

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Page 11: Guide to cross-device measurement solutions

USE DETERMINISTIC DATA TOGIVE YOU CONFIDENCE ABOUTYOUR PROBABILISTIC APPROACH

The ‘accurate’ deterministic data can be used to validate the joins made by the probabilistic approach.

Now that you have done the work to create the joins, you can look at all of your marketing and use the insights to enhance performance.

FOR EXAMPLE: We have a user who’s identified himself on two devices – has the probabilistic data also matched the same devices, or is it saying something completely different; then repeat this process as required.

Page 12: Guide to cross-device measurement solutions

USE THE DATA TO TAKE ACTION

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Page 13: Guide to cross-device measurement solutions

A smarter abandoned basket campaign

Cross-device data can be utilised to improve marketing effectiveness and efficiency in many ways.

Many brands are challenged with understanding user behaviour, such as when a customer

adds items to an online basket but does not place an order. The problem arises

when customers are targeted with email reminders based on basket abandonment on a

single device. This strategy does not take into consideration real user behaviour –

shopping and browsing on tablet or mobile, but making a purchase on desktop, or

vice versa. Without a view across devices marketers are unable to see if people have

actually converted, and ultimately this can result in a poor experience.

SummaryTo be successful at targeting users who have left items in their online basket, you need to

understand all the devices in a user journey. By using this insight, brands can make their

emails more effective to ensure they don’t retarget customers with products they have

already bought.

Page 14: Guide to cross-device measurement solutions

Are you ready to choose the right cross-devicemeasurement solution?

Rakuten Attribution arms digital businesses with performance

measurement tools, analysis and reporting, powering great decisions and driving success.

rakutenmarketing.co.uk/[email protected]

+44 1273 807272