Matz Lukmani

Associate Director Insights & Analytics
MediaCom WorldWide

Matz has eight years experience in the field of marketing analytics. He has worked as analytics lead for companies like PwC, Bristol-Myers Squibb, Toys ‘R’ Us, SAP and dELiA*s.

He holds a master’s degree specializing in computational analytics from the New Jersey Institute of Technology, and two bachelor’s degree in business administration and computer science from Jadavpur University and Manipal University in India (respectively).

He offers analytics consulting services in the field of web-analytics, predictive analytics and advanced text mining across a wide group of industries. He has worked on select funded academic research initiatives and continues to explore advanced research projects in the field of application of text mining and advanced predictive analytics. Matz has shared his expertise and case studies in marketing analytics and retail, speaking at conferences including eTail East, The I.E Big Data & Analytics for Retail Summit and IQPC Digital Marketing Metrics & Analytics Summit.

Matz Lukmani joined MediaCom in 2014 as Associate Director, Insights & Analytics. Prior to joining the agency, Matz led marketing analytics at dELiA*s Inc. for two years.

MediaCom handles the media planning and buying for some of the world's smartest advertisers. MediaCom is responsible for planning and buying the advertising media for some of the world's biggest companies - including P&G, Shell, Universal, GlaxoSmithKline, RBS and VW. Globally MediaCom is the 3rd largest agency network by billings and ranked No.1 agency network in the Network Diagnostics Report 2013 (Source: RECMA*). Mediacom manages around $29bn in billings (Source: RECMA* 2013) across 97 markets and 122 offices with 5,953 staff, managing 2,305 accounts.

Check out the incredible speaker line-up to see who will be joining Matz.

Download The Latest Agenda

Pre-Conference Summits

Saturday, November 8th, 2014

14:55 Panel Discussion: Analyzing Social Platforms To Reach Your Target Customers

Developing a scalable, cross-platform social strategy is a huge challenge for marketers today. How can you deliver the right content to the right customer at the right time, using the right platform? Our panelists talk through which platforms are most effective for their businesses and why, as well as how to execute a cross-platform campaign that resonates with your customer base.

Assessing which social platforms would be most influential for your target consumers
Delivering best-in-class content on each platform depending on your strategy for each
Evaluating the usage of newer platforms to determine which would be the best fit for your brand
Developing the business case and execution strategy for each platform
Integrating your strategy into your overall marketing mix

Main Conference Day 2

Thursday, January 8th, 2015

16:30 Panel Discussion: Capturing, Leveraging And Actioning Customer Data Efficiently And Effectively

Our data experts convene to outline new ways to capture customer data. With some much data at your fingertips, it is crucial to be able to harness and utilize that data in the most efficient way possible. By the end of this panel discussion, you’ll develop a holistic view of your data sets and disseminate that information back out to your rest of your organization.

•Using first, second and third party data sets for targeting customers

•Combining these data sets to obtain a holistic view of your customer

•Going beyond A/B and multivariate testing

•Using an integrating tool for targeting after your data sets have been integrated

•Consolidating all of your data providers onto one platform to obtain this holistic view

17:00 The Math Of Text! An Approach To Romancing Customer Sentiments

All online retailers gather valuable information from their customers in the form of Product Reviews online. This information is collected using review forms on the website and through post purchase survey emails which are sent to customers. We can leverage this data to improve the product selection process and improve the overall merchandise quality. However the majority of the data is in an unstructured text format, which is fundamentally different from quantitative score data. Retailers need to perform advanced text mining to derive these sentimental insights. The following case study explains a live example which allows online retailers to harvest this qualitative information.