ai & the magic customer-getting machine

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AI & The Magic Customer-Getting Machine WILL THOMPSON , VP & MANAGING DIRECTOR – THOUGHT LEADERSHIP, PUBLISHER – FORBES AI

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Page 1: AI & The Magic Customer-Getting Machine

AI & The Magic Customer-Getting Machine

W ILL THOMPSON, VP & MANAG ING D IRECTOR –

THOUGHT LEA DERSH IP, PUBL I SHER – FORBES A I

Page 2: AI & The Magic Customer-Getting Machine

The key to using AI to create a magic, customer-

getting machine is digitally transforming your

insights into actionable IoT devices that will be

delivered by the cloud in a platform-like

experience.

Check your brain at the door because the

machine will do your thinking for you.

Just collect the checks.

Make A Magic Customer-Getting Machine In 5 Easy Steps

INNOVATION!!! …But no really,

it’s like SO Digital.

Bull$#!t

Buzzwords

Page 3: AI & The Magic Customer-Getting Machine

AI can optimize, give you hints, and help you do more with less – but it can’t

answer the big questions (yet).Marketing Today

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44

Early Marketing Automation

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55

Early Marketing

Automation

State of the Art Marketing Cloud Services

Page 6: AI & The Magic Customer-Getting Machine

AI can optimize, give you hints, and help you do more with less – but it can’t

answer the big questions (yet).Marketing Today

SOMEDAY??????

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What Can AI NOT Do?

7Mock-ups are for illustrative purposes only.

• Learn from small amounts of data

• Understand context

• Have pre-existing knowledge about the world

• Solve more than one task at a time

• Explain why it answered how it did

• Predict things over long time frames or in complex

domains

• Truly ”recognize” things vs statistical patterns in

pixels, soundwaves or other types of data

Page 8: AI & The Magic Customer-Getting Machine

AI needs lots…

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AI Has a Hard Time Grasping Context

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1010

State of the Art Marketing

RETAILER

AI Doesn’t Know About the World

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AI Doesn’t Recognize Anything

It just sees statistical patterns.

AI Can Be A Black Box…

And humans have to step in when it messes up.

AI Can’t Do More Than One Thing at The Same Time

Page 12: AI & The Magic Customer-Getting Machine

AI Doesn’t Recognize Anything

It just sees statistical patterns.

AI Can Be A Black Box…

And humans have to step in when it messes up.

Page 13: AI & The Magic Customer-Getting Machine

AI Doesn’t Recognize Anything

It just sees statistical patterns.

AI Can’t Predict Over Long Time Frames or Complex Domains

Page 14: AI & The Magic Customer-Getting Machine

AI Doesn’t Recognize Anything

It just sees statistical patterns.

Page 15: AI & The Magic Customer-Getting Machine

• Stop looking to tools to dictate strategy

• Differentiate between demand creation

and demand fulfillment

• There’s more to marketing than campaign

optimization

• Don’t confuse you tech stack with your

customer journey or devices with people

• Make messaging great again – with neuro-

psychology.

Marketing Mindset Changes Are Needed

Page 16: AI & The Magic Customer-Getting Machine

AI Can Optimize, Give You Hints, and Help You Do More with Less – but it Can’t Answer the Big Questions (yet).

Page 17: AI & The Magic Customer-Getting Machine

1717

Demand Creation Demand FulfillmentVS.

Page 18: AI & The Magic Customer-Getting Machine

When You Have the Best

Hammer, Every Problem is a Nail. … or Watermelon?

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Test-itis: A Series of Test-and-Scale Probes That Never Really Scale.

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The Machine Isn’t Your CX

Page 21: AI & The Magic Customer-Getting Machine

Aligning business strategies

with customer’s overall

experience

CX

Generating

Business Value

Designing products that

solve the right problem in

an efficient and enjoyable

manner

Capturing value

RESULTING IN RESULTING IN

UXPin.com

The Difference Between CX & UX

UX

Thanks to Forbes Ignite CEO Nicole Cacal for this insight.

Page 22: AI & The Magic Customer-Getting Machine

The Machine Isn’t Your CX

Build it and they will come… buy stuff from us.

Their fantasyabout marketing.

Your CFO

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Stomping on the Right Patch of Neurons…

Page 27: AI & The Magic Customer-Getting Machine

Using massive data-sets to unpack the personalities and motivations of individual consumers to allow for psychologically resonant messages and journeys that create net-new demand rather than just fulfill or slightly tweak existing demand.

The Frontier of AI:

Page 28: AI & The Magic Customer-Getting Machine

Using massive data-sets to unpack the personalities and motivations of individual consumers to allow for psychologically resonant messages and journeys that create net-new demand rather than just fulfill or slightly tweak existing demand.

The Frontier of AI:What’s AI

ACTUALLY Doing Today?

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29

Planning

Production

PersonalizationPromotion

Performance

The 5 P’s of AI in Marketing

With thanks to…

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• Determine goals.

• Construct buyer personas.

• Discover keywords and topic clusters.

• Analyze existing content for gaps and opportunities.

• Determine editorial calendar topics.

• Capture competitive intelligence.

• Segment contact databases.

• Identify companies and contacts most likely to

convert.

• Predict conversion paths and points along the buyer

journey.

• Predict churn.

• Prescribe marketing strategies and tactics.

• Allocate digital paid budget by channel and audience.

1. Planning

Best accuracy doesn’t equal best ROI

Companies:

Watch Out:

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3131

• Draft social media updates.

• Write data-driven content.

• Optimize content for search engines.

• Curate content.

• Develop ad copy and creative.

• Write email subject lines.

• Write nurturing/sales email workflows.

• Convert voice to text, and text to voice.

• Recognize, categorize and auto-tag images.

• Analyze (and score) text for grammar, sentiment,

tone and style.

• Design websites.

2. Production

Clicks don’t equal persuasion

Companies:

Watch Out:

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• Recommend highly targeted content.

• Deliver predictive product recommendations.

• Personalize content, offers and web experiences with

images, text and CTAs.

• Engage users through bots and chat.

• Serve up contextual ads based on user history and

look-a-like data.

• Answer voice and text questions.

• Deliver customized search results.

• Individualize and optimize email send time.

3. Personalization

Devices aren’t people.

Companies:

Watch Out:

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3333

• Adjust digital ad spend in real-time by channel and

audience.

• Optimize cross-channel campaigns.

• Test headlines, landing pages, images and creative.

• Schedule social shares.

• Improve email deliverability.

• Deliver (re)targeted ads.

4. Promotion

Human insight, imagination and negotiation are important

Companies:

Watch Out:

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• Score leads and continually adapt the lead scoring

system.

• Monitor activities and outcomes.

• Discover insights from analytics.

• Forecast performance.

• Write performance reports.

5. Performance

Different investments have different pay-off times

Companies:

Watch Out:

Page 35: AI & The Magic Customer-Getting Machine

Using massive data-sets to unpack the personalities and motivations of individual consumers to allow for psychologically resonant messages and journeys that create net-new demand rather than just fulfill or slightly tweak existing demand.

The Frontier of AI:What’s AI

ACTUALLY Doing Today?

Make AI Your Trojan Horse

Page 36: AI & The Magic Customer-Getting Machine

18 Strategic Drivers Of Enterprise Value

BRAND

ASSETS

BRAND

PREFERENCE

ORGANIZATIONAL

MEASUREMENT

CAPABILITIES

ORGANIZATIONAL

KNOWLEDGE

SHARING

MARKETING

EFFECTIVENESS

SALES AND SERVICE

EFFECTIVENESS

OWNED DIGITAL

MEDIA

PERFORMANCE

INTER -

DEPARTMENTAL

CONNECTEDNESS

DIGITAL CHANNEL

PERFORMANCE

DIGITAL

EXPERIENCE

CUSTOMER

LOYALTY

PRODUCT &

SERVICE

QUALITY

PERCEPTIONS OF

INNOVATION

EMPLOYEE TALENT,

LEADERSHIP AND

ENGAGEMENT

CUSTOMER

SATISFACTION

CHANNEL REACH,

SHARE AND

PERFORMANCE

CUSTOMER

RELATIONSHPS

BRAND

MOMENTUM

18 STRATEGIC VALUE DRIVERS

QUALITY OF PEOPLE

& PRODUCTS

BRAND

VALUE

CUSTOMER

EQUITY

ORGANIZATIONAL

COMPETENCE

DIGITAL

PLATFORMS

MARKETING

EFFECTIVENESS

THE FINANCIAL CONTRIBUTION OF MARKETING TO THE ENTERPRISE

Page 37: AI & The Magic Customer-Getting Machine

THE MASs MARKETING VALUE CHAIN SM

1

PAID, OWNED AND

EARNED MEDIA

OWNED MARKETING

INFRASTRUCTURE

PROMOTION ACTIONS

PLACE-DISTRIBUTION

ACTIONS

PRODUCT ACTIONS

PRICING ACTIONS

CAPABILITY

DEVELOPMENT

COMPETITIVE, BRAND, &

ACQUISITION STRATEGY

2

BRAND VALUE

CUSTOMER

RELATIONSHIP EQUITY

ORGANIZATIONAL

COMPETENCE

SALES AND MARKETING

EFFECTIVENESS (ROMI)

DIGITAL PLATFORM

EFFECTIVENESS

QUALITY OF PRODUCTS

AND PEOPLE

3

PURCHASE DECISIONS

USAGE AND BUYING

CYCLES

CONSUMPTION

FREQUENCY

PURCHASE SIZE AND

VOLUME

SHARE OF

TRANSACTIONS

RESPONSE AND

CONVERSION RATES

REFERRALS AND WOM

LOYALTY

PRICE SENSITIVITY

4

VOLUME

SHARE

LIFT

VOLATILITY

VELOCITY

PROFIT MARGINS

CUSTOMER ECONOMICS

COSTS

FUTURE OPTION VALUE

5

ENTERPRISE VALUE

REVENUE

PROFITS

CASH FLOW

GROWTH RATE

BRAND ASSET VALUE

COST OF SALES

COST OF CAPITAL

ACTIONS AND

INVESTMENTS

KEY DRIVERS

OF VALUE

CUSTOMER

BEHAVIOR

BUSINESS

OUTCOMES

FIRM

FINANCIAL

PERFORMANCE

How Marketing Drives Firm Financial Performance