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Importance of Lifetime Value Webinar (1)

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Not all customers are

the same.

7


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PARETO PRINCIPLE

Customer Centricity

reveals how to

increase profits from

your best customers,

find more like them,

and avoid

over-investing in the

rest

20%

$

80%

Jim Sterne, Founder, Chairman,

Web Analytics Association

80%

20%

8




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Multiple purchase/High LTV

customer

Transactions per user > 5

Revenue per user > $1,000

11


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12


Most commonly, we use Recency,

Frequency and Monetary value

(RFM) to rate customers, based on

the nature of their behaviour and

spending habits…

Frequency

$

Recency






A B C D E



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Budget allocations based on a longer view

of customer value;

Less reliance on sales and/or seasonal

events;

High likelihood of better long-term

outcomes with efforts focus on acquiring

and retaining the best customers



Frequency

Recency

$ ???





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GA360 data

enriched with

CRM data

Anna

Get-a-quote

completed online

Home insurance

purchased over

phone

Customer LTV (M):

$240

GA360 data

CRM data

Sessions Product page views Purchases User ID

3 10 $0 abc123

User ID Customer status Loyalty rating Revenue

abc123 active 4 $240




Scoring

users LTV

Collect Analyse Activate

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GA360 CRMint GA360 ACTIVATION

Connections between

products made easy by

CRMint

Online sales data

CRM DATA

Offline Sales Data

Each user is

scored based

on the recency,

the frequency

and the amount

of their orders

(github)

DV360

SA360

O360

Google Ads

Order User Order

date ID Value

01-02-15 177237 $140

02-02-15 177323 $30

01-03-15 177237 $35

Audience List

bid adjustment

driven by the

model

&

audience

enrichment with

similar audiences

30


Prerequisites

Collect

GA360

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CRMint GA360 ACTIVATION

GA360 Export to

BigQuery 1 - 2 hr

Online sales data

CRM DATA

Each user is

scored based

on the recency,

the frequency

and the amount

of their orders

(github)

DV360

SA360

O360

Offline Sales Data

Google Ads

Order User Order

date ID Value

01-02-15 177237 $140

02-02-15 177323 $30

01-03-15 177237 $35

Audience List

bid adjustment

driven by the

model

&

audience

enrichment with

similar audiences


Prerequisites

GA360

Analyse

CRMint

GA360

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ACTIVATION

GA360 Export to

BigQuery 1 - 2 hr

Deploy CRMInt on GCP

20 mins setup &

configuration

+ 30 mins wait time

Online sales data

CRM DATA

Offline Sales Data

Order User Order

date ID Value

01-02-15 177237 $140

02-02-15 177323 $30

01-03-15 177237 $35

Each user is

scored based

on the recency,

the frequency

and the amount

of their orders

(github)

DV360

SA360

O360

Google Ads

Audience List

bid adjustment

driven by the

model

&

audience

enrichment with

similar audiences


Prerequisites

GA360

CRMint

GA360

Activate

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ACTIVATION

GA360 Export to

BigQuery 1 - 2 hr

Deploy CRMInt on GCP

20 mins setup &

configuration

+ 30 mins wait time

Configure a data

import in GA360

10 mins

2 - 3 hrs in total

Online sales data

CRM DATA

Offline Sales Data

Order User Order

date ID Value

01-02-15 177237 $140

02-02-15 177323 $30

01-03-15 177237 $35

Each user is

scored based

on the recency,

the frequency

and the amount

of their orders

(github)

DV360

SA360

O360

Google Ads

Audience List

bid adjustment

driven by the

model

&

audience

enrichment with

similar audiences



Digital Marketing Maturity

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Clients self-reported clear gains in

effectiveness (incremental profit)

& efficiency (cost savings) along

the path to maturity.

Effectiveness

Up to

+20%

revenue

Nascent

1

Emerging

2

Connected

3

Multi-moment

4

Up to

−30%

cost

Efficiency

Source: BCG-Google Data-Driven Marketing assessment 2018


LTV and Digital Marketing Maturity

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Effectiveness

Emerging

2

Nascent

1

Data Driven

Segmentation in

Google Analytics

Efficiency


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Multiple purchase/High LTV

customer

Transactions per user > 5

Revenue per user > $1,000

37


LTV and Digital Marketing Maturity

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Connected

Effectiveness

Emerging

2

CRM

integration

3

Nascent

1

Data Driven

Segmentation in

Google Analytics

Efficiency


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GA360 data

enriched with

CRM data

Anna

1st Purchase

Order value: $50

2nd Purchase

Order value: $90

3rd Purchase

Order value: $100

Customer LTV: $240

GA360 data

Sessions Product page views Purchases User ID

3 10 $0 abc123

CRM data

User ID Customer status Loyalty rating Revenue

abc123 active 4 $100


LTV and Digital Marketing Maturity

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Multi-Moment

Effectiveness

Emerging

2

Connected

CRM

integration

3

LTV Modelling

Nascent

1

Data Driven

Segmentation in

Google Analytics

Efficiency


Scoring

users LTV

Connections between products

made easy by CRMint

Online sales data

CRM DATA

Offline Sales Data

Analyse

Each user is

scored based

on the recency,

the frequency

and the amount

of their orders

(github)

Activate

Proprietary + Confidential

GA360 CRMint GA360 ACTIVATION

DV360

SA360

O360

Google Ads

Order User Order

date ID Value

01-02-15 177237 $140

02-02-15 177323 $30

01-03-15 177237 $35

Audience List

bid adjustment

driven by the

model

&

audience

enrichment with

similar audiences

41


WRAP UP

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All businesses benefit from establishing a view on LTV even if the

starting point is Google Analytics and Google Ads;

There are a number of ‘out of the box’ views in Google Analytics to

help uncover top-line LTV related insights, including LTV by Source,

Campaign & Channel;

More advanced models are possible when you’re able to combine

another data source, such as CRM or PoS data with GA; and

Once this data is properly structured and uploaded into the Google

Cloud Platform all sorts of things become possible, including

predictive modelling and seamless activation in advertising.


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