Cross channel marketing attribution by CACI

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Neolane Breakfast Seminar David Sealey 27 th November 2013 Attribution across all channels

Transcript of Cross channel marketing attribution by CACI

Page 1: Cross channel marketing attribution by CACI

Neolane Breakfast Seminar

David Sealey

27th November 2013

Attribution across all channels

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Agenda

1. The challenges• Increasing channel choice

• Dimensions and metrics

• Attribution models

• Technology

2. Example in practice

3. Why it matters• More than digital

• Budget allocation

4. How CACI are solving the issues

David [email protected]

@sealeyd

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Typical CACI Clients

Technology Integration and Managed Services

Customer and Capability Strategy

LocationOptimisation

Digital Design & Build

Multi-ChannelCampaigns

Analysis, Insight& Knowledge

Data

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ROI EfficiencyTime to hold our marketing to account

• Are affiliates cannibalising profit

• Is paid search costing more than it should

• Is remarketing truly getting repeat visits?

Why care about attribution?

Budget AllocationHow do we slice marketing budgets

across channels?

• Should be a push decision rather than pull?

• Where should you increase budgets?

• Which methods will add incremental sales?

• If you had another pound to spend where would

you spend it?

“I know half the money I spend on advertising is wasted,

but I can never find out which half.”

Attribution will improve the overall efficiency of marketing spend

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The Challenges

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Channel growthInbound Outbound

Call Centre Branch PoS

Call Centre Direct Mail SMS

SEO Web Social service Mobile app

Email PPC Affiliates Social Mobile SMS/Push

messages Advertising

Customer

TV Radio Print advertising PR

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Dimensions

Each channel’s reports will contain multiple dimensions & metrics

Metrics Time (year, month, day, time of day)

Agent (call centre) or Marketer

Channel

Campaign

Programme (e.g. welcome, churn)

Customer Segment or Customer Life Stage

Offer

Language

Product Category & Product

Territory

Keyword

Creative

Revenue

Profit (Gross / Net)

Count

Received / Opened / Clicked / Bounced

Influence / Retweets

Unique Visitors

Net Present Value

Customer Lifetime Value

Customer satisfaction

Cost to serve

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Disparate and varied technology capabilities involved

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Not to mention the actual tools themselves…

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Illustration of the attribution models

First Click• The first channel gets all of the

credit

• Not a true reflection of each channel’s role in converting the sale

Last Click• The last click or channel gets all the

credit for the sale

• Reflects the channel that converted but doesn’t recognise each channels contribution

First and Last Click• Recognition split between the

acquiring channel and the converting channel

Time Delay• Channels are given an increasing

share in run up to conversion

• Does not recognise the channel that may have acquired the customer

Linear• All channels given an equal split of

the revenue

• Doesn’t recognise channel costs or likely engagement in acquiring or converting customers

Algorithmic/Custom • Based on bespoke business rules

• Each channel recognised on their own merits

• Difficult to setup

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The attribution challenges combined

Channel Choice Attribution ModelsDimensions and Metrics Technology

Value

Hard v inferred response

Balance control group/hold-out versus selling

Brand awareness v direct response

So many campaigns, no response to measure result

Technology – immature, channel specific

Double-counting

Organisation and politics

Identifying the customer Anonymous v known

Multiple ids

Not enough time / skilled resource

So many technologies

Data Capture quality

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A real life example

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Illustration of the complexity of a customer journey

Phase Awareness Purchase Post-Purchase Retention

Affiliate blog

PPC (Search)

Website

Store

Twitter

Phone

Email

Direct mail

Mobile

First Purchase

£100

Second Purchase

£100

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Attribution models appliedFirst Click Last Click First & Last Linear Time Decay Custom

£100

£100

£100

£100

£50

£50

£50

£50

£25

£25

£25

£25

£17

£17

£17

£17

£17

£17

£50

£15

£35

£35

£15

£50

£25

£30

£10

£35

£20

£10

£25

£20

£20

£5

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Why integrating off-line and on-line really matters

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Why integrating offline and online really matters

Are you chasing the hype of marketing fashion or do you have the data to make smart marketing investments?

TV advertising is dead. You should be doing social…

Snail mail? Seriously? The

future is in mobile apps

Email marketing to segments is so

2000

Customers view all communications as part of the relationship with the organisation

Whilst offline channels are typically more expensive they can be more effective per contact

Advanced attribution tracking allows you to see the affect of marketing on your ultimate aims

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How CACI solves it

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CACI’s answer: There’s no silver bullet – think holistically

There is no simple answer No one technology is going to

solve this

Our advice is: Don’t aim too high “Big Picture done OK” is more

important than “One Channel done well”

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Finding an attribution model that works

Understand the business requirements

Map out the current media-mix and planning process.

Questions to ask: What type of buyer

behaviour do you value? What are you currently

spending on channel marketing efforts?

What is the length of the conversion window?

Start with a standard attribution model Tweak the model to

your requirementsTime decay is often a good starting point. Compare it against last click attribution to identify the scale of the differences.

It may also be worth trialling a position based model (first and last) as a further comparison.

What are the problems with the model?

Alter the dimensions that may affect the outcome: Downgrade brand based traffic Alter the attribution time

window Magnify the cost of channels

that delivered poor traffic Apply weightings to expensive

or highly engaging channels

AB

C

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CACI’s answer: Design & build a reporting sub-system

Gather data from all channels:

1. Use channel-specific technology (e.g. Adobe Campaign, Adobe Site Catalyst) to identify respondents, and indication of value

2. Capture this into sub-system, with all relevant dimensions

3. Apply SCV where necessary

4. Apply chosen attribution model (bespoke)

5. Reporting presentation layer

Let’s see an example…

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1. Neolane / Adobe Campaign:a) Defines campaign detailsb) Executes campaigns to customerc) Has additional flowcharts to identify

and record responses2. Data holds communication data, response

data and “campaign meta data” i.e. data about the campaign

3. Data flows in from other sources and is combined in a marketing Data Warehouse

4. Dedicated new process consolidates all this data into data ready for reporting

5. Report-writer provides presentation layer for attribution reporting and modelling

Report Data

Report Processing

Single Customer VIew

Marketing Data Warehouse

Campaign History Response Data

New Campaigns

EPOS Data Web Analytics

Social ListeningMobile App

Reports

How CACI solves it

AttributionModel

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Conclusion

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Conclusion: Start small and think big

1. Focus on capturing everything rather than doing one channel with precision• Broadly understanding attribution across all of your channels will

do more for you than understanding one digital channels with precision

3. Don’t expect the answer from one technology• To get the best out of attribution you will need to gather all of

your channel data and combine with customer data to produce insights that will improve budget allocation

2. Make attribution insights part of your budget planning activities• Marketing budgets should be set by how well channels are serving

your business objectives. It should be possibly to model changes in the marketing budget and their affect on the customer.

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Questions?

David [email protected]

@sealeyd

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