Improving Personalisation By Injecting Data into Strategy
The report will address how brands make the best use of data intelligence to enhance personalised strategies for greater ROI and customer satisfaction.
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1.
How big is your customer base?
(Required.)
50,001 - 100,000 members
100,001 – 500,000 members
500,001 – 1,000,000 members
1,000,001+ members
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2.
How do you currently use data for personalisation?
(Required.)
To personalise cross channel customer messaging
To tailor experiences during checkout
To suggest better recommendations
To help with real-time decision-making during service
To train AI-based chatbots for better individual experience
To customise customer journeys based on action-reaction approach
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3.
Which technology tools does your brand currently use?
(Required.)
CDP
Marketing automation
Conversational AI
Social media monitoring
Analytics and business intelligence
Content management systems
Personalisation engines
Project management tools
Collaboration tools
Customer feedback and survey tools
Augmented analytics platforms
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4.
What are the barriers when trying to use data to incorporate meaningful personalisation?
(Required.)
Difficult to gather behavioural insights from multiple sources
Not able to leverage data in real-time
Siloed customer data across departments
Poor quality data causing inefficient results
Concerned about privacy guidelines
No ease of data access and inter-department convenience
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5.
What type of customer data do you collect?
(Required.)
Customer behaviour data
Demographic data
Social media activity
User generated content
Service interaction data
Zero party data
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6.
What challenges has your brand encountered while implementing data-driven personalisation strategies?
(Required.)
Integration complexities with existing systems
Finding talent that can operate various tools and systems
Measuring ROI of personalisation efforts
Unable to deliver results at scale
Data privacy and security concerns
Ensuring ethical use of customer data
Overcoming algorithm biases
Over-personalisation leading to customer withdrawal
7.
When looking for partnerships to improve your data strategy for personalisation, what is your primary objective?
To have shared assets and tools and produce personalised customer insights
To give the brand the best chance of leveraging insights that lead to unbiased personalisation
To create an iron-clad data security guideline to gain customer trust
To increase ROI and customer lifetime value from increased personalisation
To enhance chatbot capabilities and activate self-service personalisation
To build long-term customer satisfaction and loyalty
To have a unified data platform and access to 360 view of customer
8.
What is your top personalisation-based priority?
Create personalised recommendation engines
As an essential component of self serve support
Personalised follow up communications
Tracking and measuring personalised efforts
Targeted marketing and ad campaigns
To reduce CAC (customer acquisition costs)
To improve customer retention rate
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9.
How would you rate your personalisation strategy?
(Required.)
Not mature
Somewhat mature
Very mature
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10.
How is data and personalisation helping your organisation in retaining customers?
(Required.)
Improved real-time customer targeting by understanding behaviour and preferences
Better customer experience by understanding the needs and wants of customers
Successful retargeting campaigns after analysing customer behaviour and purchase history
Increased customer satisfaction and LTV
Dynamic engagement and UGC on social platforms
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11.
Which emerging technology innovations do you think can help scale personalisation efforts?
(Required.)
AR and metaverse
Experience stores
Cloud Data ecosystems
Data-centric ML
Adaptive AI systems
Predictive AI models
Generative AI
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12.
What are the limitations of your current personalisation strategies?
(Required.)
Real-time nudges on changes in customer behaviour
Product/Service experience insights
Psychographics
Real-time engagement data analytics
Predictive personalisation
Personality analytics
Behavioural recommendations
13.
What would you find most valuable from your technology partners?
In-depth training and onboarding for the teams
Strategic input
Quicker ROI
Composable formats
Measurable goal setting metrics
