Trends in Data-Driven Customer Engagement

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Trends in Data-Driven Customer Engagement

African Marketing Confederation Mombasa, September 26, 2024

The European Marketing Agenda 2024 Incorporates Almost 1,300 Completed Answers

Almost 8, 000 CMOs, senior marketing executives and marketing board members surveyed via the European marketing associations within EMC

Topic Areas:

• Key topics 2024

• Biggest challenges / barriers

• Customer Experience Mgmt.

• AI

• Sustainability

In total 1,287 full answers

Source:

Brand Management, Marketing Operations and Digitalisation (MarTech) Continue

Focus on Brand Management and Reach (Upper Funnel)

Focus on Marketing Operations (Execution), e.g.,

improvement of websites, E-Commerce, CRM-Systems, Data Analytics

Increased focus on Digitalization and Implementation of Marketing Tech

Increased Need for KPI Frameworks, Measurement (Marketing Spend Optimization) and Data Models (Marketing Mix Modelling)

Focus on Sales and Performance Marketing (Lower Funnel)

To Be Top-of-Mind

No. 2: Marketing Operations Stretches From Planning & Steering Down To Customer Journeys and Tech

No. 3: The Challenges With MarTech: More Than 14,000 Applications

Source: European Marketing Agenda 2024; Marketing Tech Monitor 2024; Brinker/Riemersma 2024

… With Overlaps And “Morphing”

AI Climbs From Zero (in 2023) To Hero … Followed By

Marketing And Customer Experience Mgmt.

Source:

Stairway To Heaven: get different functional areas together to play one joint symphony …

Source: Marketing Tech Monitor 2023

The Challenge … Still …: Consolidation of Data And Knowledge Gaps

Collection, consolidation, quality of distributed customer data for a 360-degree view

Lack of understanding & knowledge of how AI will change business

Consistent customer experiences across all touchpoints

Lack of integration of data science processes into existing processes (marketing planning, media buying, etc.)

Recruitment of employees with relevant experience

Top Challenges & Barriers in 2024 (Top 5, n=1,287)

The Strategic Objectives Often Remain A “Wishful Thinking”

A Detailed Analyse Based On Data Reveals Pitfalls In The Customer Journey

Source: European Marketing Agenda 2024; Marketing Tech Monitor 2024

The selection and implementation of MarTech must not fall into classic traps ... like the selection of wine ...

Already Existing Application ….. “already licensed”

Horse Race

Upper quadrant of an analyst such as Gartner or Robert Parker

Puppy Love

Political

Motivation

After a short demo

you cannot do anything wrong with it

Sightseeing

per

“this will grow and develop … trust me ”

AI is Mostly In Planning Phase … And In Content

Production As GenAI

The Next Wave Will Be Driven By Higher Valued Scenarios Such

As Hyper-Personalisation, ….

Too Much (AI-) Love Will Kill You: Too Many Tools … And No Inhouse Know-how

Too many tools in the market, which makes it hard to understand where and how to make best use of them

No in-house know-how available

The data available to our AI is not sufficient (e.g., only monthly availability of shopper data)

Not necessary, our questions do not require AI/Machine Learning

No suitable partner available

Biggest Challenge Of Usage of Artificial Intelligence (n=1,287)

De-Mystifying AI … It Is Always About Analyzing Data Points In The Respective Context

Example Convolutional Neural Network (CNN, schematic)

Source: European Marketing Agenda 2024; Quelle: Marketing Tech Monitor 2024; LearnOpenCV: Understanding Convolutional Neural Network (CNN): A Complete Guide; AI Geek: An AI Engineer’s Guide to Machine Learning and Generative AI. Everything you need to know about the underlying ideas, scientific innovations, & technologies that are powering modern AI; in: Medium, October 3, 2023.

Top Priority … Like It Or Not … Data Strategy and Cleansing

Using Causal AI … For A Model That Maps Reality Via Machine Learning

With Intelligent Agents Automating Tasks ...

Types of Agents in AI

All Topic Areas Require A High Degree Of Depth In Content & Understanding ... Starting From The Customer Journey

Benchmarking

• Evaluation of AS-IS

• Most Important Scenarios & Use Cases

CustomerJourneyAnalysis

• Relevant Touchpoints

• Data Points & Informations

• Customer Journey Map

BenefitsCase

• Pragmatic Business Case

• “Buy-In” of Organisation

TargetPicture

• Joint understanding

• Master Construction Plan

UseCases& Requirements

• Foundation

• Joint / same understanding and target

Selection/Fit-Gap-Analysis

• Basis AS-IS/TO-BE Processes

• Using Requirements Database

Change(LegoSeriousPlay)

• Meta-Layer

• Emotional involvement

CapabilityMap

• Competencies & Organisation

• Via Senior Project Leaders

Contact Details

E-Mail: rstrauss@emc.be

Phone: +49 1525 313 16 90

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