COMSATS Institute of Information Technology

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Presentation transcript:

COMSATS Institute of Information Technology Lecture 8 E-Marketing E-Marketing Research Instructor: Hanniya Abid Assistant Professor COMSATS Institute of Information Technology

Objectives After this lecture, you will be able to: Identify the three main sources of data that e-marketers use to address research problems. Discuss how and why e-marketers need to check the quality of research data gathered online. Explain why the Internet is used as a contact method for primary research and describe the main Internet-based approaches to primary research.

Objectives, cont. Describe several ways to monitor the web for gathering desired information. Contrast client-side, server-side, and real-space approaches to data collection. Highlight four important methods of analysis that e- marketers can apply to data warehouse information.

The Purina Story Nestle Purina PetCare wanted to know whether their websites and online advertising increased off-line behavior. Nestle Purina developed 3 research questions: Are our buyers using our branded websites? Should we invest in other websites? If so, where should we place the advertising?

The Purina Story, cont. Combined online and off-line shopping panel data revealed: Banner click-through rate was low (0.06%). 31% of subjects exposed to both online and off-line advertising mentioned Purina. The high exposure group mentioned Purina more than the low exposure group. Home/health and living sites received the most visits from their customers. Which websites besides petsmart.com and about.com would be appropriate for their ads?

Data Drive Strategy Information overload is a reality for consumers and marketers alike. E-marketers must determine how to glean insights from billions of bytes of data. Data require insight or application to inform marketing strategy. Purina, for example, sorts through hundreds of millions of pieces of data about 21.5 million consumers to make decisions.

From Data to Decision: Purina

Marketing Knowledge Management Knowledge management is the process of managing the creation, use, and dissemination of knowledge. Data, information, and knowledge are shared with internal decision makers, partners, channel members, and sometimes customers. A marketing knowledge database includes data about customers, prospects and competitors.

The Electronic Marketing Information System A marketing information system (MIS) is the process by which marketers manage knowledge. Many firms store data in databases and data warehouses. The Internet and other technologies facilitate data collection. Secondary data provide information about competitors, consumers, the economic environment, etc. Marketers use the Net and other technologies to collect primary data about consumers.

Most Common Data Collection Methods

Some Typical e-Marketing research problems

Source 1: Internal Records Accounting, finance, production, and marketing personnel collect and analyze data for marketing planning. Sales data Customer characteristics and behavior Universal product codes Tracking of user movements through web pages

Source 2: Secondary Data Can be collected more quickly and less expensively than primary data. Secondary data may not meet e-marketer’s information needs. Data was gathered for a different purpose. Quality of secondary data may be unknown. Data may be old. Marketers continually scan the macroenvironment for threats and opportunities, a procedure commonly called business intelligence.

Public & Private Data Sources Publicly generated data International Monetary Fund CIA World Factbook American Marketing Association Wikipedia Privately generated data comScore Forrester Research Nielsen/NetRatings Commercial online databases

Source 3: Primary Data When secondary data are not available, marketers may collect their own information. Primary data are information gathered for the first time to solve a particular problem. Primary data collection enhanced by the Internet: Online experiments Online focus groups Online observation Online survey research

Primary Research Steps

Advantages & Disadvantages of Online Research

Ethics of Online Research Companies conducting research on the web often give respondents a gift or fee for participating. Other ethical concerns include: Respondents are increasingly upset at getting unsolicited e-mail requests for survey participation. “Harvesting” of e-mail addresses from newsgroups without permission. “Surveys” used to build a database. Privacy of user data.

Monitoring the Social Media Companies must now monitor numerous web pages, blogs, and photo sites in order to learn what is being said about their brands or executives. Companies can hire PR firms or online reputation management firms to help. They can also set up automated monitoring systems using e-mail, RSS feeds, or special software. Google offers e-mail alerts for selected keywords.

Google Alert for the Author’s Name

Other Technology-Enabled Approaches Client-side Data Collection Cookies PC meter with panel of users to track the user clickstream. Server-side Data Collection Site log software can generate reports on number of users who view each page, location of prior site visited, etc. Real-time profiling tracks users’ movements through a website.

Following the clickstream at FTC.gov

Real-Space Approaches Data collection occurs at off-line points of purchase. Real-space techniques include bar code scanners and credit card terminals. Catalina Marketing uses the UPC for promotional purposes at grocery stores.

Real-Space Data Collection & Storage Example

Marketing Databases & Data Warehouses Product databases hold information about product features, prices, and inventory levels; customer databases hold information about customer characteristics. Data warehouses are repositories for the entire organization’s historical data, not just for marketing data. Software vendors are attempting to solve the website maintenance problem with content management systems.

Data Analysis and Distribution Four important types of analysis for marketing decision making include: Data mining Customer profiling RFM (recency, frequency, monetary value) analysis Report generating

Knowledge Management Metrics Two metrics are currently in widespread use for online data storage: ROI: total cost savings divided by total cost of the installation. Total Cost of Ownership (TCO): includes cost of hardware, software, labor, and cost savings.

Summary E-Marketers need data to guide decisions about e- Marketing Knowledge Management, MIS Research techniques for e-Marketing Resources of collecting marketing knowledge Other ways to collect data

Oh! One more thing What online research methods would you use to test the brand image of an existing brand? Why? Look for the cookies files on your hard drive, (use find file function). Find out which of the sites have you visited recently have placed cookies on your computer. If you want to test the effectiveness of a new banner ad using four primary research techniques. How would you design those?