Super Early Bird Fee

Register and Pay
by 8 Sep '17

Early Bird Fee

Register and Pay
by 6 Oct '17

Regular Fee

Register and Pay
after 6 Oct '17

$1,895.00(SGD) $2,095.00(SGD) $2,295.00(SGD)

Group Discount! Enjoy 10% off when you register for 3 or more
or
For groups of 3, 4th comes for free

Fees are subject to 7% GST for all Singapore registered companies

Important Notes
  1. Super Early Bird and Early Bird promotion: Discount will only be valid if payment is received by stipulated date.
  2. Group Discount only applies to registrations from the same company registering at the same time, issued in a single invoice and of the same billing source.
  3. Only corporate registrations will be accepted.
  4. Bank charges & taxes are to be borne by registrants, if applicable.
  5. Full payment is mandatory upon registration for admission to the event.
  6. Walk-in delegates will only be admitted on the basis of space availability and with immediate full payment.
  7. Fee includes lunch, refreshments and e-documentation.
  8. To enjoy applicable corporate room rates, please quote “Pacific Conferences Corporate Rate”
  9. The organiser reserves the right to make any amendments that it deems to be in the interests of the event without any notice.
  10. Any information provided by registrants will be used for the primary purpose of event administration and upcoming events updates. For more information, please visit: http://www.conferences.com.sg/privacy-statement/

CANCELLATION & REPLACEMENT

A replacement is welcome if you are unable to attend. A full refund less 10% administrative charge will be issued for cancellation received in writing by 6 Oct 2017. A 50% refund and a set of e-documentation will be issued for cancellation received by 13 Oct 2017. Regrettably, no refund will be issued for cancellation received after 13 Oct 2017 or for “no show” participant. You will however receive a set of e-documentation.

Can you Unleash Powerful Insights from Data?

Google Analytics, Facebook Insights, YouTube Analytics –
you collect massive amount of data across social media, web and offline platforms.
But are you able to integrate multiple data sources into a holistic view?
What are some of the available free and paid tools to collect and analyse data?
Can you leverage data insights to segment audience and maximise campaign success?
How to manage unstructured data and benchmark against competitors to assess effectiveness?

Acquire Practical Tools & Strategies to Analyse Data for Maximum ROI

Join us at this exciting 2-day workshop to acquire data analytics skills and techniques to translate data into actionable insights and maximise marketing effectiveness. Pick up the latest tools and discover how to integrate data from both online and offline sources for comprehensive analysis. Master how to leverage data insights to segment customers effectively and strategise marketing campaigns tailored to your audience. Don’t miss the chance to learn how to identify the right KPIs to optimise conversion rates and frame data insights for effective reporting to management.


Programme Highlights

Data Discovery: Metrics & Insights

Define objectives, establish hypothesis, strengthen data

Integrating Different Data Sources

Online & offline data extraction, grouping, dashboard

Data Analytics

What are the key relationships & right signals?

Translating Data into Actionable Insights

Customer segmenting, personas, content effectiveness

ROI Measurement for Digital Marketing

How to determine if your content resonates?

Reporting Data to Management

Industry standard & competitor benchmarking

Benefits of Attending

  • Gain insights into the types and sources of industry-specific data to support measurement needs
  • Analyse how to expand and enhance your data from second and third party sources
  • Examine how to integrate data gathered from social media, websites, and traditional data points
  • Develop a strategic approach to online and offline data extraction and grouping
  • Learn to identify objectives and set parameters for effective social media listening
  • Grasp techniques to track and analyse customers’ behaviour to develop more targeted strategies
  • Delve deep into approaches for better marketing efficiency assessment using online data
  • Determine how to create customer segments and develop customer personas based on data insights
  • Gather tips on how to optimise conversion rate using right KPIs, analytics, and channels
  • Acquire methods to calculate financial and non-financial ROI and manage unstructured data
  • Discover ways to frame insights and present results to effectively secure and gain budget support
  • Elevate learning experience with practical case studies, hands-on exercises, and group discussions
 

Workshop Leader

Huw Davis

Data and Analytics Lead, APAC,

J Walter Thompson

JWT Logo

 

Huw is a recognized leader in global data analytics and measurement delivery.

 

In the past 30+ years his career has taken him from the actuarial department of BUPA Health Insurance to a range of agencies and consultancies, especially following the buyout of his first company, Data by Design to Experian, in 1998. Huw has served as General Manager for Data and Consulting at OgilvyOne Worldwide, and then as the Chairman of EHS Brann Discovery and Global Director of Data and Discovery for Euro RSCG 4D (now known as Havas Worldwide) for 6 years.

 

In March 2007 he founded Nanomarketing based in London and Singapore, an independent data strategy and analytical consultancy and has spent 9 years in the APAC region developing data and CRM strategies for clients. Clients included Minor Hotel Group, Nando’s, Pizza Hut, The Body Shop, River Island, SK-II, Telkomsel, Dell and Saxo Bank.

 

He joined J Walter Thompson in 2016 to develop and enhance data offering to clients and his clients include Unilever, Nikon, Treasury Wine Estates, Changi Airport and Unicharm.

Who Should Attend

Senior level executives responsible for Digital Marketing, Social Media, Data Analytics, Web, and Marketing Communications.

 

Agenda

  • Session 1: Data Discovery – Metrics and Insights

    • Defining objectives, KPIs and metrics you want to measure
    • Understanding how to establish hypothesis to prove within your marketing plans
    • Types and sources of industry-specific data to support your measurement needs
    • What are some of the commonly overlooked sources of data?
    • Enhancing your data from second and third party sources

    Case Studies: An FMCG company’s customer journey in detail; other examples from automotive and financial service industries
    Exercise: Mapping marketing objectives to KPIs to metrics to data sources for your own business

  • Session 2: Integrating Different Data Sources – General Media, Social Media, Web and More

    • Determine what to measure when working with multiple data sources
    • How to integrate data gathered from social media, websites and traditional data points?
    • Develop a strategic approach to online and offline data extraction and grouping
    • Identify objectives and set parameters for effective social listening
    • Determining key metrics for different social media platforms
    • How to filter and prioritise social media data across different platforms?
    • Creating a comprehensive dashboard to present data holistically

    Case Studies: An FMCG company’s social media strategies – Analyse incremental gains during promotional period
    Exercise: Identifying the common data currency across a set of disparate data sets

  • Session 3: Data Analytics

    • Data mining techniques
    • Identifying key relationships within your data
    • How to pick up the right signals?
    • Common challenges when analysing data and how to overcome them

    Demo: Comparison of free and paid data analytics tools – Applications, costs, pros and cons etc.
    Case Studies: Several real life examples of interaction and basket spends analysis
    Exercise: Deriving variables from transactional data for an ecommerce business

  • Session 4: Translating Data into Actionable Insights

    • Why and how to create customer segments with data?
    • Developing customer personas based on data insights
    • Tracking and understanding customers’ behaviour to influence marketing campaigns
    • How to measure effectiveness of content?
    • How to leverage on data to identify topics that resonate with audience?

    Case Studies: Segmentation examples from automotive, retail and e-commerce industries
    Exercise: Reviewing results and understanding the causal effect of the outcomes of marketing activity

  • Session 5: Measuring Effectiveness of Digital Marketing

    • Methods for financial vs non-financial ROI calculation
    • How to manage unstructured online data to better assess marketing effectiveness?
    • Techniques to determine if your message is resonating with audience
    • Conversion rate optimisation: KPIs, analytics and channels to improve marketing performance

    Case Studies: Examples of brand portfolio analysis and the effect of switching within client brands; examples of content effectiveness and establishing the evaluation framework
    Exercise: Understanding how testing works by undertaking calculations to see the likely uplift in campaign rollouts

  • Session 6: Reporting Data to Management

    • Framing insights to address different goals of stakeholders
    • Critical factors for comprehensive understanding
    • Benchmarking against industry standards and competitors to justify resources allocation
    • How to present results to effectively garner management buy-in

    Case Studies: Examples of dash boarding and reporting from electronics, FMCG and financial services industries
    Exercise: Providing insights and commentaries to a set of marketing graphs for a brand activity; assessing campaigns’ successfulness