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PROBLEM OF CUSTOMER INFORMATION OVERLOAD AND INTERACTIVE MARKETING AS ITS SOLUTION Authors: DR. DARSHANA DAVE 1 and DR. CHAITANYA VYAS 2 Abstract In this study, we examined how customers treat direct mail, particularly, catalogs received from the marketers. We conducted a survey among 462 respondents from different occupation, age, education, and income in six cities of Gujarat, India. Analysis of the responses is done for disturbance level, frequency, interactivity, and effectiveness of catalogs received from direct marketers. Finally, recommendations are made to the direct marketers as to how to put customers’ feedback for direct mail in practice in order to improve catalog-marketing efforts. Key terms: direct mail, telemarketing, information overload, interactive marketing, permission marketing 1 2 Associate Professor, Department of MBA, Sardar Patel University, Gujarat, India. Associate Faculty, Entrepreneurship Development Institute of India Page 1 INTRODUCTION Technical definition of Direct Marketing is - “Direct marketing is the planned implementation, recording, analysis, and tracking of customers’ direct response behavior over time to derive future marketing strategies for developing long- term customer loyalty and ensuring continued business growth.”1 According Drèze Xavier, Direct mail is the largest and e-mail is the second largest marketing vehicle. Firms such as directmarketing (UK) offer postal and e-mail addresses of managers of all the departments of almost all type of industries of UK. 2 Rogers (1996) examined trends in mail advertising from a study of The U.S. household mail communications inspecting how consumers feel, perceive, and respond to the advertising mail received by them. 3 Results show that households with higher income received more advertising mail. Compared to the mail addressed to occupant or residence, the mail addressed to household members fetched better and higher response. Receivers gave more response to the mail from non-profit organizations compared to the mail from business organizations. For successful campaigning through mail, testing, and quality database are better alternatives. Advertisers should make mail more relevant to the mail recipients. Some advertisers have related radio advertisements and television commercials with mail campaigns. It is important for the consumers that they get less clutter, appropriate type, and timing of mail, and ability to respond these in the way they want. Taylor et al conducted a survey among Japanese and the U.S. university students to check the impact of Japanese communication and Japanese culture on attitudes toward direct marketing and its regulation. 4 The results suggest that certain types of direct marketing messages are less effective in Japan than in the United States. Further, willingness by Japanese respondents to support regulation of direct marketing practices is greater. The authors discuss managerial 1 Stone Merlin, Davies Derek, and Bond Alison, Direct Hit: Winning Direct Marketing Campaigns, MacMillan India, 1998, p 3. 2 www.electricmarketing.co.uk 3 Rogers Jean, Mail Advertising and Consumer Behavior, Psychology and Marketing, vol 13, No. 2, March 1996, p 211–233. 4 Taylor Charles R, Franke George R, and Maynard Michael L, Attitudes Toward Direct Marketing and Its Regulation: A Comparison of the United States and Japan, vol 19, No. 2, Journal of Public Policy & Marketing, Fall 2000, p 228-237. Page 2 implications of the findings for multinational marketers and advertisers. They suggest public policy implications for direct marketing in Japan. Direct Marketing Associations worldwide In India, Direct Marketing Association is registered as a public limited company and adjudged as a non-for-profit organization. National and international firms are its members. The association regularly publishes reports containing overview of direct marketing in India, and marketing directories. It also provides customized services. Direct Marketing Association of South Africa (DMASA), which expands and promotes interactive marketing and direct marketing in South Africa, became an independent body in November 2005. It represents interactive marketers, direct marketers with a consumer focused approach protecting and regulating interactive marketing and direct marketing. The DMASA provided education, information, and legal opinions on the issues such as data privacy, database protection, anti-spam etc. to its members. Companies join this Association and agree to sign an acceptance of compliance. Australian Direct marketing Association (ADMA) makes its members aware about the legislation which may have effects on members’ business. ADMA provides members the tools to help them comply with laws and excel in their respective industry. ADMA has developed an industry Code of Practice and an independent Code Authority. ADMA’s State Branches are in Victoria, Tasmania, New South Wales, South Australia, West Australia, and Queensland. ADMA also offers certificate, other short term courses, and training. Direct Marketing Association (DMA) of the U.K. is there since 1992. There are more than 800 members of DMA in the U.K. Members include agencies, mailing houses, large corporations and brokers. DMA is engaged in training and development. This association is the member of the International Federation of Direct Marketing Associations (IFDMA) and the Federation of European Direct and Interactive Marketing (FEDMA). In the U.S.A., the Direct Marketing Association (DMA) promotes maintaining and following standards for marketing with responsibility, and providing relevant and desirable offers to the consumers. The DMA is involved also in providing education and research, and training. It was founded in 1917. Businesses and nonprofit organizations, which use direct marketing tools and techniques, are associated with the DMA. It maintains Commitment to Consumer Choice (CCC) Program. This program aims at consumer Page 3 empowerment and builds consumer trust with direct marketers. Members of DMA are expected to follow regulations and protect consumer privacy and preferences. Direct mail Direct mail is one the powerful marketing communication tools. Direct mail is equally effective while targeting B2B or B2C type of communications. The marketing challenge is to execute direct mail campaigns which will give desired results. The problem with direct mail is they are often not solicited. Direct mails are considered as unwanted marketing communication. Marketscan conducted research of 1,000 marketing professionals on direct mailings. The research found that direct mailings are considered to be lowest-risk type of communication, especially for B2B communications.1 Leena Basrur, Managing Director, SIREM Marketing Services, Mumbai, a member of the InterDirect network of DM agencies says – constant telemarketing through mobile phones is becoming annoying to consumers though the irritation level for direct mail is minor in India.2 Flood of direct mailers and irritation from those; have resulted in making “Do Not Mail” mandatory in western countries. For multinational corporations, the media strategists have to consider forming an international media strategy. It is possible to find the difference in perceptions of the customers regarding media. Light and Somasundaram examined perceptions of young adults in four countries – India, Hong Kong, Canada, and the U.S. Authors compared perceptions regarding direct mail and advertising in other media channels such as in newspapers, magazines, television, radio, and outdoor media. 3 The study found that there are significant differences in perceptions, specific to media in those four countries. 1 Direct Mailings Carry 'Lowest Risk' for B2B, Precision Marketing, June 4, 2004, p 5 Indian market wakes up to the digital age, Precision Marketing, May 4, 2007, p 9 3 Light David and Somasundaram T N, International Direct Marketing Strategy: A Comparison with Alternative Media, Journal of Direct Marketing, vol 8, No. 1, 1994, p 71–78 2 Page 4 LITERATURE REVIEW Marketing discipline is observing a shift from broadcast marketing to interactive marketing Deighton at el (1996).1 Factors such as direct marketing, database marketing, e-commerce, sales force management, World Wide Web etc. are forcing the marketing discipline to reshape. Mass marketing is becoming more customized and more responsive to the customers. Authors explained interactive marketing with reference to conversation with an ability to address and remember individual’s response. At the same time, over interaction from marketers is also not expected. On the nation that – Business goes where business is invited, Grassfield Max (2000) developed the strategy called Invitational Marketing for retailers. 2 Invitational Marketing is about inviting customers to give them opportunities to satisfy their needs. This invitation must be made with personal written note instead of through impersonal direct mails as advertising is oneway communication. Advertisers must communicate with the customers rather than counting them as the customer figure. Customers are part of the society for the marketers. Along with other reasons, one of the reasons behind losing customers is not treating them with value. The author noted that Reichheld and Sasser (1990) related increasing profit with longer customer relationship. A unique thing about his company - Grassfield's was that they knew their customers better than their competitors did. This company collected information from voluntary customers for around ten years. They collected details regarding customers’ buying patterns, personal data, sales record etc. They have their own concept of sending individual customers a personalized message with the salesperson’s signature. In 1992, they developed their own customer relation database software, which is copyrighted and registered as Invitational Marketing. They offered the incentives to the respondents of the messages sent to their customers in order to measure how much effective it was to send personal message. Customers always like to visit the place where the marketers know them by their name. The advantage of invitation marketing is that it also reduces, if not eliminates, the information overload. Information overload can affect consumer choice. Lee Byung-Kwan and Lee Wei-Na (2004) investigated effect of information overload on the quality of consumer choice online by combining traditional and structural approaches. 3 They measured customers’ satisfaction, and confidence. It was found that the consumers get too much 1 Deighton at el, The Future of Interactive Marketing, Harvard Business Review, vol 74, no. 6, Nov- Dec 1996, p 151-160. 2 Grassfield Max, Invitational Marketing, Coloradobiz, 1st Mar 2000. 3 Lee Byung-Kwan and Lee Wei-Na, The Effect of Information Overload on Consumer Choice Quality in an On-Line Environment, Psychology & Marketing, vol 21, No. 3, Mar 2004, p 159-183. Page 5 information on number of products from different parties such as manufacturers, retailers, internet intermediaries etc. How well the product information is presented to the customers and how they process the information may decide survival and profitability of the companies. The authors found that effect of information overload on consumer choice could be well predicted by attributes like quantity and level distribution. Online information overload generated less satisfaction, less confident, and more confusion among the customers. Creating an effective C.I.S. (Customer Information System) helps reducing information overload. Bessen, Jim (1993) described that to create computerized customer information system is expensive and difficult. 1 Marketing has become harder due to increasing market segments and the products. Manufactures remain in fix as to what to produce. Buyers have to select among the number of products and the advertisers have to select among many segments and many products. New information system differs from traditional one based on scale of the database, depth of information, and degree of information use. Companies such as The Great Atlantic & Pacific Tea Company (A&P), R. R. Donnelley & Sons, and Fingerhut have used this. Companies need broad customer information system as market demands targeted marketing communications. Consumers’ demographic and psychographic information should be used to understand what consumers want and for how much. In the industries like supermarkets, information overload creates information crisis for manufacturers and managers. Hagel and Rayport (1997) observe that customers take control of their information. 2 Infomediary companies can work as custodians, agents, and brokers of consumer information. On behalf of the customers, they can market it to the companies. Companies must think which type of information they are collecting form the customers, when, and how they are going to use the information. Similar to the concept of Invitational Marketing, the concept of Permission Marketing also supports the notion that - Business goes where it is invited. Seth Godin coined the term Permission Marketing, which is asking for prior consent or permission from customers before sending them marketing messages. Permission marketing is not just Direct marketing. S. F. Allen 1 Bessen, Jim (1993), “Riding the Marketing Information Wave,” Harvard Business Review, Sept-Oct 1993, vol 71, p 150-60. 2 Hagel John III and Rayport Jeffrey F, The Coming Battle for Customer Information, Harvard Business Review, Jan- Feb 1997, p 53-65. Page 6 (2002) drew a line between permission marketer and direct marketer.1 Marketers have to know the difference between these two and using direct marketing or permission marketing or both. Allen said that permission marketers put their resources into developing revered relationship with the customers. Forcefully dumping the products in front of the customers, in spite of the customers’ dislike will end into broken relationship with the customers. Though customers will be ready to buy the forced products once or twice for a short period, they may not prefer over long run. By using force, marketers will lose positive long term marketing results. The base of permission marketing is trust. Ultimately, the trust is converted into profit. Marketers must know how to use this profitable methodology of permission marketing. Allen said permission marketing is a fine blending of conventional branding and consumer behavior with modern internet marketing techniques. As described by Allen, three pillars of permission marketing are – First – cutting through clutter. Second – empowering customers with choice. Third – shifting power of decision making to marketers. While practicing permission marketing through email marketing, the connection among the marketers, the advertisers, and the customers is established. Customers eagerly pay attention to such marketers who use permission marketing messages. Moreover, the comparative revenue earned through permission marketing is higher than that of direct marketing over time. Permission marketing has stronger ability to rise among the clutter and get more attention. In a way, customers are handling over powers in the hands of the marketers to take some decisions up to certain extent and the marketers cannot hold and continue this power if they fail to win the customers’ trust. Permission marketing is long-run strategic investment for the marketers. Ansari and Mela (2003) state that customized communications can mitigate information overload and help customer decisions. 2 They developed statistical approach for information customization on internet and applied model to permission-based e-mail marketing. It is possible to increase click-through rates with the help of content-targeting approach. 1 Allen S F, Don't Call Yourself a Permission Marketer When You Are a Direct Marketer, Financial Times Prentice Hall, Aug 2, 2002. 2 Ansari A, and Mela C F, E-customization, Journal of Marketing Research, vol XL, May 2003, p 131-145. Page 7 METHODOLOGY Hypotheses are formed based on literature on problem of information overload and Interactive Marketing as its solution. Respondents were asked questions such as – What is the frequency of receiving catalogs/direct mails? Where do they receive direct mails more? Whether they find direct mail interesting and useful? Do they feel disturbed by receiving direct mails and want to discontinue receiving them? What is their opinion about having ban over direct mail? etc. Hypotheses are developed to check link between Information Overload, and ways of Interactive Marketing practices. With the help of Chi-Square test, four factors causing Information Overload are cross-tabulated with four ways of Interactive Marketing practices independently. As shown in the table below, variables such as – finding direct mails interesting, getting disturbed by direct mails, frequency of direct mails, and willingness to stop receiving direct mails are categorized as factors causing Information Overload while variables such as finding direct mails useful, opinion about having ban over direct mails, occupation of the customers, and place of receiving direct mails are categorized as ways of Interactive Marketing practice. Table 1 Interactive Marketing as a solution for Information Overload problem Factors causing Information overload Finding direct mails interesting Getting disturbed by direct mails Frequency of direct mails Willingness to stop receiving direct mails Ways of Interactive Marketing practices Finding direct mails useful Opinion about having ban over direct mails Occupation of the customers Place of receiving direct mails Hypotheses Following four hypotheses are developed to test linkages of information overload problems with interactive marketing practices. Hypothesis 1 H0: There is no significant relationship between customers’ finding Direct mails interesting and finding Direct mails useful H1: There is a significant relationship between customers’ finding Direct mails interesting and finding Direct mails useful Hypothesis 2 Page 8 H0: There is no significant relationship between Customers’ getting disturbed by Direct mails and their opinion that Direct mails should be banned H1: There is a significant relationship between Customers’ getting disturbed by Direct mails and their opinion that Direct mails should be banned Hypothesis 3 H0: There is no significant relationship between Frequency of receiving Direct mails and Occupation of the Respondents H1: There is a significant relationship between Frequency of receiving Direct mails and Occupation of the Respondents Hypothesis 4 H0: There is no significant relationship between Place of receiving Direct mails and Customers’ willingness to stop receiving Direct mails H1: There is a significant relationship between Place of receiving Direct mails and Customers’ willingness to stop receiving Direct mails Results The above four hypotheses are tested using Chi-Square test. Following are the results of data analysis. Table 2 lists Mean and Standard Deviation. Tables from Table 3 to Table 6 show results of Chi-Square test. Table 2 Mean and Standard Deviation Variables Place of receiving Direct Mail Disturbed by Direct Mails Finding Direct Mails interesting Finding Direct Mails useful Frequency of receiving Direct Mails Reading Direct Mails completely Thinking Direct Mails should be banned Want to stop receiving Direct Mails Age of the Respondents N 462 462 462 462 462 462 462 462 462 Mean 1.20 2.71 2.81 2.81 2.40 2.18 2.81 2.80 33.21 Sd* 0.400 1.028 0.608 0.607 0.803 0.739 1.079 1.203 7.251 *Standard Deviation Chi-Square Statistics Table 3 Finding Direct Mails interesting and Finding Direct Mails useful Finding Direct Mails interesting * Finding Direct Mails useful Finding Direct Mails Finding Direct Mails Test Statistics interesting useful Chi-Square 166.558a 168.325a Page 9 df 2 2 Asymp. Sig. .000 .000 a. 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 154.0. Table 4 Disturbed by Direct Mails and Thinking Direct Mails should be banned Disturbed by Direct Mails * Thinking Direct Mails should be banned Disturbed by Thinking Direct Mails Test Statistics Direct Mails should be banned Chi-Square 325.229a 92.424b df 4 3 Asymp. Sig. .000 .000 a. 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 92.4. b. 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 115.5. Table 5 Frequency of receiving Direct Mails and Occupation of the Respondents Frequency of receiving Direct Mails * Occupation of the Respondents Test Statistics Frequency of receiving Direct Mails Occupation of the Respondents Chi-Square 202.329a 82.307b df 3 4 Asymp. Sig. .000 .000 a. 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 115.5. b. 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 92.4. Table 6 Place of receiving Direct Mails and Want to stop Direct Mails Cross tabulation Place of receiving Direct Mails * Want to stop Direct Mails Cross tabulation Asymp. Sig. Chi-Square Tests Value df (2-sided) a Pearson Chi-Square 26.991 4 .000 Likelihood Ratio 31.000 4 .000 Linear-by-Linear Association 4.404 1 .036 N of Valid Cases 462 a. 0 cells (.0%) have expected count less than 5. b. The minimum expected count is 10.16. As seen in the above tables all four hypotheses have significant relationship among the respective variables. So, null hypotheses for all four hypotheses are rejected. From the Hypotheses testing results, following is proved: 1. There is a significant relationship between customers’ finding Catalogs interesting and finding Catalogs useful by the customers (Hypothesis 1). 2. There is a significant relationship between Customers’ getting disturbed by Catalogs and their opinion that Catalogs should be banned (Hypothesis 2). 3. There is a significant relationship between Frequency of receiving Catalogs and Occupation of the customers (Hypothesis 3). Page 10 4. There is a significant relationship between Place of receiving Catalogs and Customers’ willingness to stop receiving Catalogs (Hypothesis 4). Hence, it is also proved that implementing Interactive Marketing practices help reducing or eliminating Information Overload to customers, particularly with reference to direct mail. CONCLUSION The senders of these unwanted Catalogs/Direct Mails are mainly insurance companies, private sector banks, housing loan companies, Mutual Fund companies, magazine publishers, consumer durables manufactures, automobile companies etc. All the customers who strongly agree or agree that they get disturbed by promotional Catalogs think that unwanted Direct Mail sent by marketers should be banned. Customers are neutral about their opinion on whether catalogs are interesting or useful. Majority (58%) customers do not read direct mails completely before disposing those off. Majority (80%) customers receive direct mails at their home while remaining customers receive those at their workplace. Customers have neutral opinion about usefulness and interesting matter of these direct mails. 50% customers receive direct mails once in a month while remaining 50% includes those receiving direct mails twice in a month plus those who receive those more than twice in a month. Page 11 REFERENCE 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. Allen S F, Don't Call Yourself a Permission Marketer When You Are a Direct Marketer, Financial Times Prentice Hall, Aug 2, 2002. Ansari A, and Mela C F, E-customization, Journal of Marketing Research, vol XL, May 2003, p 131-145. Baier Martin, Elements of Direct Marketing, McGraw-Hill, New Delhi, 1985. Bessen, Jim (1993), “Riding the Marketing Information Wave,” Harvard Business Review, Sept-Oct 1993, vol 71, p 150-60. Deighton at el, The Future of Interactive Marketing, Harvard Business Review, vol 74, no. 6, Nov- Dec 1996, p 151-160. Direct Mailings Carry 'Lowest Risk' for B2B, Precision Marketing, June 4, 2004, p 5 Grassfield Max, Invitational Marketing, Coloradobiz, 1st Mar 2000. Hagel John III and Rayport Jeffrey F, The Coming Battle for Customer Information, Harvard Business Review, Jan- Feb 1997, p 53-65. Hoek Janet and Gendall Philip, “Direct-to-Consumer Advertising down under: An Alternative Perspective and Regulatory Framework”, Journal of Public Policy & Marketing, vol 21, No. 2, Fall, 2002, p 202-212. http://www.adma.com.au/. Accessed on Jan 31, 2012. http://www.direct-marketing-association-india.org/. Accessed on Jan 31, 2012. http://www.dma.org.uk/content/who-we-are. Accessed on Jan 31, 2012. http://www.dmasa.org/dmasa/dma_load.php?str=1/1/0. Accessed on Jan 31, 2012. http://www.electricmarketing.co.uk http://www.the-dma.org/aboutdma/whatisthedma.shtml. Accessed on Jan 31, 2012. Indian market wakes up to the digital age, Precision Marketing, May 4, 2007, p 9 Lee Byung-Kwan and Lee Wei-Na, The Effect of Information Overload on Consumer Choice Quality in an On-Line Environment, Psychology & Marketing, vol 21, No. 3, Mar 2004, p 159-183. Light David and Somasundaram T N, International Direct Marketing Strategy: A Comparison with Alternative Media, Journal of Direct Marketing, vol 8, No. 1, 1994, p 71–78 Morwitz Vicki G and Schmittlein David C, “Testing New Direct Marketing Offerings: The Interplay of Management Judgment and Statistical Models”, Management Science, vol 44, No. 5, May, 1998, p 610. Rogers Jean, Mail Advertising and Consumer Behavior, Psychology and Marketing, vol 13, No. 2, March 1996, p 211–233. Stone Merlin, Davies Derek, and Bond Alison, Direct Hit: Winning Direct Marketing Campaigns, MacMillan India, 1998, p 3. Taylor Charles R, Franke George R, and Maynard Michael L, Attitudes Toward Direct Marketing and Its Regulation: A Comparison of the United States and Japan, vol 19, No. 2, Journal of Public Policy & Marketing, Fall 2000, p 228-237. Page 12