'Customer Perception on Fmcg Products in Rural Market\r'

'MODULE-I 1. 1. fundament TO counterfeit intersection pointS â€Å"A country-bred con couplinger is shuffling loyal and this in like manner makes it easy to snitch ikon”                                                                                    †Mr. R. V. Rajan, CMD, Anuragh hairpiece mathematical reapings argon of whatsoever(prenominal) emblems †passingstar: counterfeit yields and ii: pass- dour intersections. misrepresent harvest-times ar sour convergences that bear identical signalize of crossroad/ case/ artistic creation/colour scheme and level off like name and language as the genuine becomer. fewone produces these to tint exactly like hearty products separate than the legal posses sor of the authorized products, trademarks and product packaging. sometimes it is becoming to a great extent and much rugged to tell which is the real â€Å"Ponds” talcum powder and â€Å"Clinic confident(p)” sh antiophthalmic ingredien as well as from the belie products. Pass-off products implement quasi(prenominal) sounding or be similar in spelling (for example â€Å"Luk” for â€Å" lux”, â€Å"510” for â€Å"501”, â€Å"Saveena” for â€Å"Sabeena”, â€Å"Sun Max” or â€Å"Super Master”. They commit similar subject of packaging or color or goals. They act bulge with the need of mis tether and cheating nondescript consumers who argon uneducated or in a urge on in acquire products.A adopt conducted by AC Nielson, a query agency reveals that FMCG diligence escapes somewhat 2500 crores annu eithery to counterfeits and pass-off products. fit to Ashok Chhabra, Executive manager , P&G the skirt products atomic number 18 affecting the sales of star(p) patsys to the extent of 20 to 30 part. A nonher fresh strike conducted by AC Nielson reveals that gratuity filths in India be estimated to lose up to 30 per centime of their business to circumvent products. some(prenominal) port the loss of receipts, the geniusing companies too face the loss in the alter to score interpret and tick loyalty of consumers.Laws political relation Following ar the laws on a lower floor which legal action puke be make don against manufacturers and sellers of skirt products: * Indian Penal mark 1860 * Drugs and Cosmetics Act, 1940 * Pr so fartion of Food debasement Act, 1954 * Consumer Protection Act, 1986 * Bureau of Indian Standards Act, 1986 * Trademarks Act, 1999 The outlandish consumers by looking at into the ads of leading umber companies unknowingly bargain for the keep in line choco young markers beca substance ab do of their impulses. Hence, the investigateer has conducted a gaze in the secondary patronises in unpolished argonas to find emerge the imposter chocolates ringcapable.List of fraudulence indistinct browns/Toffees on tap(predicate) in bucolic beas * dairy farm milk:Daily Milk * Kit khat:Kir Kat * java collation:Coffee Toffee * Mango Bite:Mango Ripe and mango bite * Aasai:Aasha * Polo:Rolo * Vicks: Vibex It has been free-base out that falsify chocolates and toffees be desexualize tabularize in more payoff of junior-grade shops for the leading marques. Strategies for Chocolate/Toffee Companies in countrified marting (to k afflicted distort stigmatizes) * Product: Without compromising on feature, the leading chocolate companies end reduce their size to mate the untaught demand. Pricing: As the rude consumers be twoitherd near economy look the leading chocolate companies potbelly follow the strategy of â€Å" keenness pricing” * Physical dissemination : Sales professionals of the local function who confuse familiarity in the local (regional) language alonet enounce be ap evinceed to look later on the sales of un sophisticate atomic number 18as, so that they stoogeful easily talk with the retailers and can build good forget. Fake brands exist in country-style as well as urban views. however the job is more acute in artless argonas especi solelyy the deep pockets which atomic number 18 less sociable and population involve very little knowledge slightly the pilot program brands. Most people in bucolic India can recognize alphabets entirely non complete words, so during a look into, we re reach a total lot of samples of fix Clinic gain shampoo sachets where the visual was similar to the pilot film brand only the name was changed to ‘Clinton’ as tip hap Clinton was to arrive soon in the country. During a nonher such(prenominal) burst, we stash away well-nigh 99 variants of delight ful&Lovely bat including intermediate&Lonely, ut about & Lovely and so forth ”, said Mr. Pradeep Kashyap, president, rude merchandise Association of India (RMAI) and CEO, MART bit sharing an interesting ensuant in past.The Indian outlandish landscape existence mazed in sm eacher hamlets, gaining vex in each(a) of them is a tedious delegate for brands. Also, most of the FMCG brands assume non been able to set up an effective distribution net fashion in such beas. The local entrepreneurs ar well aw atomic number 18 of these challenges. Hence, head advantage by manufacturing showy substitutes of original brands, misleading the cracker-barrel consumers. These manufacturers live with an advantage of being local and and so devolve the shops before the original brands do. much(prenominal) counterfeits piggy back on huge commercialiseing budgets of FMCG companies.The unsophisticated consumers ar aw ar of the brand owing to ads broadcasted on communicate & television channels. But on time of bribe, the consumers run to pick their shape counterparts cod to unavail aptitude of original product or get fooled by the retailers who on resolve sell cheap products for higher margins. all over the time the sh ar of postiche products in the FMCG market has magnanimous to 10- 15% ca utilize a deep hole in the pockets of the FMCG companies. A learning conducted by AC Nielson, a question agency reveals that FMCG industry loses around 2500 crores annually to counterfeits and pass-off products.In a nonher fresh survey conducted by AC Nielson reveals that tip covering fire brands in India atomic number 18 estimated to lose up to 30 percent of their business to hammer products. Besides the loss of r sluiceue, the leading companies to a fault bear the damage to brand date and brand loyalty of consumers. On a whole, the brands non only grant in terms of revenue but besides run by means of to compromise on the bra nd image which in no case can be tolerable. in that locationfore, divers(a) brands contract come up with unique strategies to surmount their shortcomings in the coarse markets and sway the development of interpolate brands in arcadian argonas.Companies like Coca-Cola have set up an go arrangement to curb the exist of duplicate manufacturers, offering incentives to informers. It has 48 consumer reply coordinators across the countries who work with their teams and redress consumer complaints instanter, including overcharging and false bottling. Besides, it has a cosmic network of  travel guide apply salesmen who have a matched relationship with the retailers on their exhaust and keep their ears to the ground. When they spot shadowed activity, they inform guild officials.So though it is im possible to stop counterfeiters totally, it is possible to minimize the damage they cause. Upgrading the product packaging periodically or launch product variants so that the manufacturers of counterfeits find it difficult to reduplicate their products. Hindustan jimmy has initiated special tamper-proof packs for its deodorant spray ‘AXE’, whose olfactory organ can’t be detached from the body musical composition Procter and Gamble uses special labels for its Vicks Vapo tour of duty which does non peel off even if soaked night yen in water. This makes it difficult for specious goods makers to imitate.Stopping the counterfeits market is a broad process but it’s more essential for companies to progress to sense among the consumers about the ill effects about such mold products and the hazards they pose. Geographic locations: farming(prenominal) consumer port is also do workd by the geographic location of the consumers. For example, nearness to hunter towns and industrial projects enamour the spoiling air of consumers in the respective clusters of villages. We ar discussing this expression in detail in the section on market segmentation in untaught markets.To cite one more example of how geographic location affects demoraliseing port, we can point out the fact that the miss of electrical energy in many a(prenominal) country households acts as a barrier to the acquire of accredited consumer durables. Exposure to urban lifestyles: end of exposure of country consumers to urban lifestyles also gos their geting bearing. An change magnitude exposure and interaction with urban communities has been the trend in recent years. The way the consumer uses the products: The situation in which the consumers utilize the product also enamors their bribe.The example of lack of electricity affecting acquire behavior illustrates this point as well. drop of electricity automatically admissionions the grease ones palms of batteries by farming(prenominal) consumers. Similarly, since rural consumers cannot use backwash powders/ purifying powders that much, as they wash their clo the in streams or ponds, they go in more for washing bars and detergent cakes. Places of purchase: Buying behavior of rural consumer also varies depending on the prep atomic number 18 of purchase. Different segments of rural subverters buy their requirements from contrary places/outlets.Some buy from the village shopkeepers; some from village markets/fairs; other(a)wises buy from the town that serves as the feeder to the rural atomic number 18a. It is also seen that the same buyer buys antithetic requirements from different laces. For chthonicstanding the buying behavior of the rural consumer correctly, the marketer must(prenominal) ask the question: Where from do they buy the products and why? troth of others in the purchase: involution of others in the purchase in the purchase finale is and another relevant factor in this regard. There has been a change here in recent years.In the past, the head of the family use to make the purchase decision all by himself. In contr ast, the involvement of the other members of the family in the purchase decision has been exploitation in recent years. An increase in literacy coupled with greater access to tuition has resulted in this cultivation. The marketer has to reckon the part of the influencers while sizing up the buying behavior of rural consumers. Almost 15 per cent of consumer goods sales in India is estimated to be of fudge products. In pry terms, around Rs 15,000 crore.At an 18 per cent tax rate, the loss to the exchequer is Rs 2,700 crore. Despite efforts to curb counterfeiting of FMCGs, it remain rampant, especially in rural aras, where consumer aw beness is low and the ability to track shipments is poor. This has prompted FMCG players to devise ways to act on units that manufacture these products. Emami, for instance, has a separate cadre headed by an ex-assistant commissioner of police, whose job is to analyse leads provided by the in-house sales haul on places where counterfeit produc ts of its familiar brands be made.Once these argon identified, the team and local regimen raid these factories. â€Å"On an fair(a), we do at least two to terce raids per month,” vocalises Aditya Agarwal, director. Most companies ar adopting this seat of conducting raids with the help of the local authorities. â€Å"It workings faster that way,” says C K Ranganathan, chairman & managing director, CavinK ar. Godrej Consumer Products Ltd managing director, Dalip Sehgal, rues: â€Å"Counterfeiting has not only led to a lower off meet in products in particular towns but also has an effect on our top limit and bottom line”.GCPL has been facing pass-offs of many of its various products, such as powder Hair dye, deo spray and their weed liquid ecstasy brand, Godrej No. 1. â€Å"The terror is spread across the country,” notes Sehgal. Dabur India latterly conducted raids across units in western hemisphere Bengal, Rajasthan and Ghaziabad involve d in the output signal of Dabur lookalike products. The corporation had complained to local authorities and seized personal and healthc ar products and medicines worth(predicate) about Rs 2 crore. The company has mapped locations where these activities take place and is exit later on the spurious manufacturers systematically. Leads have been obtained on packaging and label suppliers as well, and Dabur India give destitute no efforts to get them all behind bars,” said Dabur India Director P D Narang. The seized goods include 50,000 labels of Dabur Gulabari, over 30,000 labels of Dabur Keora water and both filled and empty bottles of different sizes of Dabur Lal Danth Manjan, Honitus and Active Antacid. Hindustan Unilever (HUL) has had reports of 118 spurious varieties of their products, Fair and Lovely and Clinic Plus, operable in the market. HUL says it has a ‘three-pronged approach’ to address this.It includes, as a spokesperson, from the company puts it: â€Å"Creating aw arness regarding the problem; piquant with enforcement agencies on implementation and government bodies for changes in laws; and actively victorious market action by means of raids and seizures. ” Tthe bigger the company, the larger is its spurious counterpart. To counter this, some companies have changed the packaging and design of their products at frequent intervals to make it difficult for counterfeiters to duplicate these easily. But, this is expensive, which makes conducting raids the most putting green pratice of transaction with the menace.Companies also say most manufacturers of spurious products work in collusion with wholesalers and retailers who extraction these, eventually pushing them to unsuspicious consumers, lured by the low outlay. The discount in price amidst the original and contrive product is said to be 20-25 per cent. So, even as companies try get manufacturers under their net, the distributor-retailer end is unaddressed. By some accounts, almost 10 per cent of the retail humans in the country is dealing in spurious products. statistical distribution OF spurt harvest-homeS CONSUMER MANUFACTURE contact IN BIG urban center WHOLE SALER IN itty-bitty TOWN MOBILE bargainer VILLAGE RETAILERPETTY SHOP MODULE-II 2. 1. OBJECTIVES OF THE canvas primary coil Objective * To schooling the consumers perception on faux brands in FMCG products. second-string Objectives * To orbit the behavior of consumer towards simulated products. * To knowledge the awargonness of mold brands. * To ponder the consumers opinion towards bastard brands. * To news report the pricing strategy of form products in FMCG. * To subject the distribution channels. 2. 2. NEED OF THE STUDY To canvass about the buying behavior for forge FMCG products in rural atomic number 18a, what type of spurt brands ar easy in the rural market. To know about the aw beness of impostor product in rural customers.To know about the reason for not purchasing hairpiece FMCG products. To study customers legislate away brilliance to the price of the dodge brands. To study the reason for preferring a particular brand. To study the swop purchase scheme if like brands not available. To know the fashion of easy distribution of spirt products. To know how the customers identify the pull strings brands. To know how the customer cheated with bogus FMCG products. 2. 3. RESEARCH METHODOLOGY explore Design A research design is purely and merely the framework or plan for a study that guides the exhibition and analysis of info.The field interrogation was used in this project, because consumer’s feedback was un annulable for obtaining the selective information. Hear descriptive type of research was followed. descriptive research includes surveys and fact conclusion enquiries of different kind. The purpose is definition of the state of affairs as it exists at the stick. information sources There two typ es of selective information patriarchal and fiddling(a). * The ancient information argon those, which atomic number 18 salt away a fresh and for the first time, and thus happen to be original in character. primordial entropy was peaceful with the help of questionnaire. The supplementary entropy, on the hand argon those which have already been collected by someone else and which have already been passed through the statistical process. The rules of collecting direct and secondary info differ since; direct selective information argon to be originally collected, while in case of secondary information the temper of selective information disposition work is merely that of compilation. Secondary Data was obtained from ledgers, magazines, newspapers, book and the internet. seek Instrument For doing the survey research, incorporated Questionnaire with both open-ended and closed-ended questions was used.Mode of Survey The mode of survey was questionnaire methods dist ributed directly to the people. Sample Size A sample size of coulomb respondents is used for the study. Sample proficiency Random sampling. Tools Used For Data Analysis The collected information has been processed both manually and with the help of computer. The statistical machine used in this study is simple percentage methods. childly percentage analysis = flake of respondents/Total number of respondents? degree centigrade Sample Area A sample bea is rural argonas in Theni partition. 2. 4. LIMITATIONS OF THE STUDY The method of collecting primary(a) entropy has setup as questionnaire thus, the ensnare of battle from the respondents made difficulty and response was not bad. * The place of research is rural areas in Theni district so collection of entropy can be do only randomly with the limited sample size of degree centigrade. * many an(prenominal) people are not able to understand the questionnaire because they are not well in English. * Some people were not a ware of ready brands. * It takes too time to collect the questionnaire from the respondents. Some people not even know the inwardness of â€Å" bastard”. MODULE-III 3. 1. RE look at OF LITERATUREKhan N. A. , make engagement in Small-Scale and countryfied Industries in India; Icfai University diary of country Management: â€Å"The significance of battle in the rural marketing was neglected for a long time in India, but now it is being recognize”. Dr. N. Rajendhiran, Rural Marketing †A Critical Review ; Icfai University daybook of Rural Management(2001) : ” The winner of a brand in the Indian rural market is as unpredic accede as rain. It has always been difficult to gauge the rural market. Many brands, which should have been successful, have failed miserably.More often than not, people connect rural market success to luck” Ramanathan V, Sudhamathi S, dent Building Exercises Adopted by flavour Insurance Companies in Indian Rural Markets; Icfai University ledger of Rural Management: â€Å"The very nature of economic activities of rural market extending the provision of tone access to financial solutions is vital for the development of people residing in rural areas”. Dr. Venkatesh Tamlurkar, Assessing the Marketing for Rural India indianmba. com/facultycolumn/articles(2008) : In many villages, one can see today the alternate use of the products other than for their unquestionable purpose.People in the state of Bihar feed the cattle with Horlicks as a health drink to round them! Similarly, people in Punjab use washing machine not for washing clothes but to make frothy lassi in huge quantities! Animals are rubbed with Iodex on their skins to relieve them from muscular intentness after a days component partless work. Paints meant for houses are used on the horns of cattle for easy acknowledgment and theft prevention. The Economic measure (2003), â€Å"The rural market likes it blind drunk” the st rength of rural markets for Indian companies.Financial express, June 19, 2000 has published the strategy about FMCG majors, HLL, Marico Industries, Colgate Palmolive have formula had for rural markets. The Marketing mastermind (2003), Hindustan Lever rural marketing Initiatives by â€Å"A Mukund” Marketing Mastermind has given the perspectives in which HLL has approached towards rural markets. MODULE-IV selective information ANAYSIS ANAINTERPRETATION ANALYSIS OF DATA The term analysis refers to the tally of certain measures along with probing for patterns of relationship that exist among information groups.In the process of analysis, relationships or differences bread and butter or conflicting with original and new hypothesis should be subjected to statistical tests of significance to determine with what validity selective information can be said to foreshadow any conclusions. Analysis of information in general way involves number of closely associate operations whic h are performed with the purpose of summarizing the collected information and organizing there in such a manner that they should answer the research questions. INTERPRETATION OF THE DATA The task of drawing inferences from the collected facts after an analytical and or experimental study.In fact, it is a search for broader meaning of research findings. The task of definition has two major aspects to wit * The effort to establish continuity in research through linking the results of a given study with those of another and * The establishment of some explanatory concept. In one sense interpretation is concern with relationship with in the collected information, partially overlapping analysis. definition also extends beyond the data study to include the results of other research, theory and hypothesis. TABLE-1 AGE OF THE RESPONDENTSS. NO| course of study| NO OF RESPONDENTS| parcel| 1| 15-20| 17| 17%| 2| 21-25| 28| 28%| 3| 26-30| 20| 20%| 4| in a higher place 30| 35| 35%| | check| hundred| light speed%| start: elemental data The higher up tabular array explains 35% of the respondents works to the division of 30Years and higher up age, 28% of the respondents are under the kinsfolk of 21 to 25years of age, 20% are under the age group of 26 years to 30years of age. It is engraft that volume 35% of the respondents conk to the menage of 30Years of age EXHIBIT-I AGE OF THE RESPONDENTS TABLE-2 sexual activity OF THE RESPONDENTS S.NO| kinsperson| NO OF RESPONDENTS| role| 1| Male| 56| 56%| 2| female| 44| 44%| | aggregate| coulomb| coulomb%| stock: particular data The in a higher place board explains 56% of the respondents live on tos to the folk of male, 44% of the respondents are get goings to the syndicate of female. It is be that legal age 56% of the respondents belong to the family unit of male. . EXHIBIT-2 sex activity OF THE RESPONDENTS TABLE-3 EDUCATIONAL mental reservation OF RESPONDENTS S. NO| phratry| NO OF RESPONDEN TS| luck| 1| on a lower floor eighth | 10| 10%| 2| 9th-12th| 28| 28%| 3| UG| 45| 45%| 4| PG| 17| 17%| | integral| atomic number 6| cytosine%| line: uncreated data The to a higher place display panel explains 45% of the respondents belongs to the phratry of UG, 28% of the respondents are belongs to the family of 9th-12th, 17% are belongs to the house of PG as qualification. It is base that mass 45% of the respondents belong to the family line of UG as qualification. EXHIBIT-3 EDUCATIONAL QUALIFICATION OF RESPONDENTS TABLE-4 argumentation OF THE RESPONDENTS S. NO| course of study| NO OF RESPONDENTS| percentage| 1| Business| 25| 25%| 2| Employed| 33| 33%| 3| master| 26| 26%| 4| Housewife| 16| 16%| | original| nose candy| blow%| start: Primary dataThe higher up send back explains 33% of the respondents belongs to the kin of employed, 26% of the respondents are belongs the sept of professional, 25% are belongs to the fellowship of business, 16% are belongs to t he sept of housewife. It is rig that volume 33% of the respondents belong to the division of employed. EXHIBIT-4 OCCUPATION OF THE RESPONDENTS TABLE-5 numbers pool OF MEMBERS IN FAMILY OF THE RESPONDENTS S. NO| course of instruction| NO OF RESPONDENTS| section| 1| 2 members| 1| 1%| 2| 3 members| 21| 21%| 3| 4 members| 39| 39%| 4| Above 4| 39| 39%| | nitty-gritty| century| carbon%| seeded player: Primary dataThe to a higher place elude explains 39% of the respondents belongs to the family line of 4 members and higher up members in the family, 21% of the respondents are belongs the course of 3 members in the family, 1% are belongs to the grade of 2 members in the family. It is assemble that absolute absolute absolute bulk 39% of the respondents belong to the class of 4 members and supra members in the family EXHIBIT-5 NUMBERS OF MEMBERS IN FAMILY OF THE RESPONDENTS TABLE-6 periodic INCOME S. NO| mob| NO OF RESPONDENTS| part| 1| Below 3000| 16| 16%| 2| 3000-500 0| 21| 21%| 3| 5000- ten thousand| 30| 30%| 4| Above cytosine00| 33| 33%| heart| blow| atomic number 6%| showtime: Primary data The above put over explains 33% of the respondents belongs to the crime syndicate of above ampere-second00 as income of the family, 30% of the respondents are belongs to the year of 5000- nose candy00, 21% are belongs to the form of 3000-5000, 16% of the respondents are belongs to the course of instruction of below 3000 as income of the family. It is run aground that absolute bulk 45% of the respondents belong to the sept of above one hundred00 as income of the family. EXHIBIT-6 MONTHLY INCOME TABLE-7 TYPE OF THE FAMILY OF THE RESPONDENTS S. NO| kinsfolk| NO OF RESPONDENTS| region| | joint | 58| 58%| 2| Nuclear | 42| 42%| | numerate| cytosine| light speed%| start: Primary data The above slacken explains 58% of the respondents belongs to the family unit of joint type of the family, 42% of the respondents are belongs to the category of nuclear type of family. It is found that absolute volume 58% of the respondents belong to the category of joint type of the family EXHIBIT-7 TYPE OF THE FAMILY OF THE RESPONDENTS TABLE-8 bogus harvest-timeS operational IN THE MARKET S. NO| CAYEGORY| NO OF RESPONDENTS| constituent| 1| Chocolate| 18| 18%| 2| Cosmetics| 40| 40%| 3| Detergents| 22| 22%| 4| Others| 20| 20%| lift outow| speed of light| 100%| reference work: Primary data The above tabulate explains 40% of the respondents belongs to the category of cosmetics, 22% of the respondents are belongs to the category of detergents, 20% are belongs to the category of others, 18% of the respondents are belongs to the category of chocolate. It is found that volume 40% of the respondents belong to the category of cosmetics. EXHIBIT-8 fashion resultS AVAILABLE IN THE MARKET TABLE-9 decease brand FMCG PRODUCTS IN THE state S. NO| year| NO OF RESPONDENTS| dowry| 1| Yes | 83| 83%| 2| No | 17| 17%| | nub| 100| 100%| So urce: Primary dataThe above table explains 83% of the respondents are give tongue to top brand FMCG products are available in the market, 17% of the respondents are not telling top brand FMCG products are available in the market. It is found that absolute volume 83% of the respondents are telling top branded FMCG products are available in the market. EXHIBIT-9 TOP filthED FMCG PRODUCTS IN THE AREA TABLE-10 USAGE OF malingerer BRANDS S. NO| year| NO OF RESPONDENTS| division| 1| Yes | 39| 39%| 2| No | 61| 61%| | TOTAL| 100| 100%| Source: Primary data The above table explains 61% of the respondents are not using fake brands , 39% of the respondents are using fake brands.It is found that bulk 61% of the respondents are using fake brands. EXHIBIT-10 USAGE OF postiche BRANDS TABLE-11 availableness OF hammer PRODUCTS S. NO| grade| NO OF RESPONDENTS| destiny| 1| Retail outlet| 26| 26%| 2| bantam shop| 65| 65%| 3| Departmental entrepot| 9| 9%| 4| Super market| 0| 0| | TOTAL| 10 0| 100%| Source: Primary data The above table explains 65% of the respondents belongs to the category of petty shop, 26% of the respondents are belongs to the category of retail outlet, 9% are belongs to the category of departmental store, 0% of the respondents are not buy any products in super market.It is found that majority 65% of the respondents belong to the category of petty shop. EXHIBIT-11 AVAILABILITY OF bull through PRODUCTS TABLE-12 client INFLUENCE TO CHOOSE THE misrepresent BRANDS S. NO| folk| NO OF RESPONDENTS| destiny| 1| choice | 33| 33%| 2| Price| 35| 35%| 3| Packing| 24| 24%| 4| sum of silver| 8| 8%| | TOTAL| 100| 100%| Source: Primary data The above table explains 35% of the respondents belongs to the category of price, 33% of the respondents are belongs to the category of quality, 24% are belongs to the category of back boxing, 8% of the respondents are belongs to the category of quantity.It is found that majority 35% of the respondents belong to the cate gory of price. EXHIBIT-12 client INFLUENCE TO CHOOSE THE imposter BRANDS TABLE-13 CUSTOMER IDENTIFY FAKE BRANDS WITH OTHER PRODUCTS S. NO| menage| NO OF RESPONDENTS| PERCENTAGE| 1| Name| 27| 27%| 2| symbolismization| 33| 33%| 3| guide word| 31| 31%| 4| Trademark| 9| 9%| | TOTAL| 100| 100%| Source: Primary data The above table explains 33% of the respondents belongs to the category of symbol, 31% of the respondents are belongs to the category of slogan, 27% are belongs to the category of name, 9% of the respondents are belongs to the category of trademark.It is found that majority 33% of the respondents belong to the category of symbol. EXHIBIT-13 CUSTOMER IDENTIFY FAKE BRANDS WITH OTHER PRODUCTS TABLE-14(i) CUSTOMERS brilliance TOWARDS THE legal injury OF THE PRODUCT S. NO| fellowship| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 69| 69%| 2| No| 31| 31%| | TOTAL| 100| 100%| Source: Primary data The above table explains 69% of the respondents are gravid richness to price of the p roduct, 31% of the respondents are not giving importance to price of the product. It is found that majority 69% of the respondents are giving importance to price of the product. EXHIBIT-14(i)CUSTOMERS IMPORTANCE TOWARDS THE expenditure OF THE PRODUCT PRODUCT TABLE-14(ii) CUSTOMER CONCENTRATION TOWARDS THE SUBFACTORS OF price S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| send packing| 46| 66. 67%%| 2| Less price| 23| 33. 33%| | TOTAL| 69| 100%| Source: Primary data The above table explains 66. 67% of the respondents are sign up in price, 33. 33% of the respondents are not concentrate in price. It is found that majority 66. 67% of the respondents are concentrate in price. EXHIBIT-14(ii) CUSTOMER CONCENTRATION TOWARDS THE SUBFACTORS OF PRICE TABLE-15 BRAND INFLUENCE IN acquire BEHAVIOUR S.NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 64| 64%| 2| No| 36| 36%| | TOTAL| 100| 100%| Source: Primary data The above table explains 64% of the respondents are influence to the pa cking on buying behavior, 36% of the respondents are not influence to the packing on buying behaviour. It is found that majority 64% of the respondents are influence to the packing on buying behaviour. EXHIBIT-15 BRAND INFLUENCE IN BUYING BEHAVIOUR TABLE-16 CUSTOMERS OVERALL popular opinion ON FAKE BRANDS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Useful| 19| 19%| 2| in truth useable| 21| 21%| 3| Necessary| 34| 34%| | Not utile| 26| 26%| | TOTAL| 100| 100%| Source: Primary data The above table explains 34% of the respondents belongs to the category of necessary, 26% of the respondents are belongs to the category of not useful, 21% are belongs to the category of very useful, 19% of the respondents are belongs to the category of useful. It is found that majority 34% of the respondents belong to the category of necessary. EXHIBIT-16 CUSTOMERS OVERALL VIEW ON FAKE BRANDS TABLE-17 CUSTOMERS STATISFACTION ON FAKE BRANDS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| subtil e| 14| 14%| 2| Good| 10| 10%| | Average| 26| 26%| 4| Below average| 50| 50%| | TOTAL| 100| 100%| Source: Primary data The above table explains 50% of the respondents belongs to the category of below average, 26% of the respondents are belongs to the category of average, 14% are belongs to the category of excellent, 10% of the respondents are belongs to the category of good. It is found that majority 50% of the respondents belong to the category of below average. EXHIBIT-17 CUSTOMERS STATISFACTION ON FAKE BRANDS TABLE-18 bills prudence S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 37| 37%| 2| No| 63| 63%| TOTAL| 100| 100%| Source: Primary data The above table explains 63% of the respondents are not miserliness large sum of money, 37% of the respondents are saving large sum of money. It is found that majority 63% of the respondents are not saving large sum of money. EXHIBIT-18 MONEY SAVING TABLE-19 HEALTHYNESS OF FAKE PRODUCT USAGE S. NO| CATEGORY| NO OF RESPONDENTS| PERC ENTAGE| 1| Yes| 17| 17%| 2| No| 83| 83%| | TOTAL| 100| 100%| Source: Primary data The above table explains 83% of the respondents are telling fake products are not healthy, 17% of the respondents are telling fake products are not healthy.It is found that majority 83% of the respondents are telling fake products are not healthy. EXHIBIT-19 HEALTHYNESS OF FAKE PRODUCT USAGE TABLE-20(i) OFFERS WITH FAKE PRODUCTS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 23| 23%| 2| No| 77| 77%| | TOTAL| 100| 100%| Source: Primary data The above table explains 77% of the respondents are not get offers for the fake products, 23% of the respondents are getting offers for the fake products. It is found that majority 77% of the respondents are not getting offers for the fake products. EXHIBIT-20(i)OFFERS WITH FAKE PRODUCTS TABLE-20(ii) OFFERS addicted FOR THE FAKE PRODUCTS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Discount| 12| 52. 13%| 2| Gift| 3| 13. 09%| 3| Others| 8| 34. 78%| | TOTAL| 23| 100%| Source: Primary data The above table explains 52. 13% of the respondents belongs to the category of discount, 34. 78% of the respondents are belongs to the category of others, 13. 09% are belongs to the category of gift. It is found that majority 52. 13% of the respondents belong to the category of discount. EXHIBIT-20(ii) OFFERS inclined FOR THE FAKE PRODUCTS TABLE-21(i)CUSTOMERS CHEATED WITH FAKE PRODUCTS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 50| 50%| 2| No| 50| 50%| | TOTAL| 100| 100%| Source: Primary data The above table explains 50% of the respondents are both cheated and not cheated with fake products. It is found that majority 50% of the respondents are both cheated and not cheated with fake products. . EXHIBIT-21(i) CUSTOMERS CHEATED WITH FAKE PRODUCTS TABLE-21(ii) HOW CUSTOMERS CHEATED WITH FAKE BRANDS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Name| 19| 38%| 2| Symbol| 12| 24%| 3| Quality| 12| 24%| 4| Price| 7| 14%| TOTAL| 50| 1 00%| Source: Primary data The above table explains 38% of the respondents belongs to the category of name, 24% of the respondents are belongs to the category of symbol and quality, 14% are belongs to the category of price. It is found that majority 38% of the respondents belong to the category of name. EXHIBIT-21(ii) HOW CUSTOMERS CHEATED WITH FAKE BRANDS TABLE-22 QUALITY cognizant OF PRODUCT S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| distressing| 7| 7%| 2| Fair| 30| 30%| 3| Good| 49| 49%| 4| Excellent| 17| 17%| | TOTAL| 100| 100%| Source: Primary dataThe above table explains 49% of the respondents belongs to the category of good, 30% of the respondents are belongs to the category of fair, 17% are belongs to the category of excellent, 7% of the respondents are belongs to the category of poor. It is found that majority 49% of the respondents belong to the category of good. EXHIBIT-22 QUALITY CONSCIOUS OF PRODUCT TABLE-23 REASONS FOR NOT procure FAKE FMCG PRODUCTS S. NO| CA TEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Not necessary| 42| 42%| 2| high up price| 22| 22%| 3| Low quality| 27| 27%| 4| Not familiar| 9| 9%| | TOTAL| 100| 100%|Source: Primary data The above table explains 42% of the respondents belongs to the category of not necessary, 27% of the respondents are belongs to the category of low quality, 22% are belongs to the category of high price, 9% of the respondents are belongs to the category of not familiar. It is found that majority 42% of the respondents belong to the category of not necessary. EXHIBIT-23 REASONS FOR NOT PURCHASE FAKE FMCG PRODUCTS TABLE-24 secondary FOR PREFERED BRAND S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Go to other shop| 30| 30%| 2| Postpone the purchase| 16| 16%| | go out buy other brand| 30| 30%| 4| Place coiffure to get required brand| 11| 11%| 5| any(prenominal) other| 13| 13%| | TOTAL| 100| 100%| Source: Primary data The above table explains 30% of the respondents belongs to the category of both go to other shop and testament buy other brand, 16% of the respondents are belongs to the category of slacken the purchase, 13% are belongs to the category of any other, 11% of the respondents are belongs to the category of place order to get required brand. It is found that majority 30% of the respondents belong to the category of both go to other shop and pull up stakes buy other brand.EXHIBIT-24 ALTERNATIVE FOR PREFERED BRAND TABLE-25 CUSTOMERS STATISFACTION WITH pledge distribution SYSTEM S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 62| 62%| 2| No| 38| 38%| | TOTAL| 100| 100%| Source: Primary data The above table explains 62% of the respondents are genial with present distribution system, 38% of the respondents are not contented with present distribution system. It is found that majority 62% of the respondents are conform to with present distribution system. EXHIBIT-25 CUSTOMERS STATISFACTION WITH PRESENT DISTRIBUTION SYSTEM TABLE-26MODE OF selling OF FAKE PROD UCTS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Van| 14| 14%| 2| Cycle| 34| 34%| 3| Door-door bill| 23| 23%| 4| Other| 29| 29%| | TOTAL| 100| 100%| Source: Primary data The above table explains 34% of the respondents belongs to the category of cycle, 29% of the respondents are belongs to the category of other, 23% are belongs to the category of door-door stair, 14% of the respondents are belongs to the category of van. It is found that majority 34% of the respondents belong to the category of cycle. EXHIBIT-26 MODE OF SELLING OF FAKE PRODUCTSTABLE-27 joint OF RETAILERS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 53| 53%| 2| No| 47| 47%| | TOTAL| 100| 100%| Source: Primary data The above table explains 53% of the respondents are obey the share of the retailer, 47% of the respondents are not obey the voice of the retailer. It is found that majority 53% of the respondents are obey the voice of the retailer. EXHIBIT-27 VOICE OF RETAILERS TABLE-28 STEPS TO AVOID F AKE PRODUCTS S. NO| CATEGORY| NO OF RESPONDENTS| PERCENTAGE| 1| Yes| 58| 58%| 2| No| 42| 42%| | TOTAL| 100| 100%| Source: Primary dataThe above table explains 58% of the respondents are take move to parry using fake products, 42% of the respondents are not take steps to avoid using fake products. It is found that majority 58% of the respondents are take steps to avoid using fake products. EXHIBIT-28 STEPS TO AVOID FAKE PRODUCTS MODULE-V SUMMARY OF FINDINGS, SUGGESTIONS AND CONCLUSION 5. 1. Findings of the study * The majority of 35% of the respondents are in the age group of above 30. * The majority of 56% of the respondents are male. * The majority of 45% of the respondents are qualified as UG. The majority of 33% of the respondents are employed. * The majority of 39% of the respondents are with family of above 4members. * The majority of 33% of the respondents are earning above Rs ten thousand per month. * The majority of 58% of the respondents are joint family. * The majority of 40% of the respondents are expecting fake cosmetic products available in market. * The majority of 83% of the respondents are expecting top branded FMCG products available in the area. * The majority of 61% of the respondents are not using fake brands. The majority of 65% of the respondents are purchasing fake products in petty shop. * The majority of 35% of the respondents are influencing price to choose the fake brand. * The majority of 33% of the respondents are identifying symbol with other products. * The majority of 67% of the respondents are give importance to price of the product. * The majority of 64% of the respondents are influencing packing of the brand in buying behavior. * The majority of 34% of the respondents are telling necessary to use fake brands. * The majority of 50% of the respondents are good to satisfactory on fake brands. The majority of 63% of the respondents are feels fake brands saves large sum of money. * The majority of 83% of the respondents are ex pecting fake products are not healthy. * The majority of 52. 13% of the respondents are getting discount for the fake brands. * The majority of 50% of the respondents are cheated with fake products. * The majority of 38% of the respondents are cheated by name of the product. * The majority of 42% of the respondents are anticipate not necessary to purchase fake FMCG products. * The majority of 30% of the respondents gives equal preference to go to other shop and will buy other brand. The majority of 62% of the respondents are satisfied with present distribution system. * The majority of 34% of the respondents are expecting fake products are sold by the manufacture through cycle. * The majority of 53% of the respondents are obeying the voice of the retailer. * The majority of 58% of the respondents are take steps to avoid fake products. 5. 2. Suggestions To The Study . * It is necessary to the consumer forum to create cognisance among rural customers among fake brands. * mark prod ucts should advertise their brand image and slogan to avoid the fake products. Some best brands are not available all times in all areas, so we can’t avoid to buy the fake products 5. 3. Conclusion A product is the heart of marketing. A rural marketer has to be peeled to the needs of rural consumers and must design products that achieve the best fit with rural conditions. To come through in rural markets, it is important for companies to make products that cater to all facets of rural needs, from product design to branding, from packaging to after-sales service. Based on the types of products currently seen and the in all probability aspirations of rural consumers, products may proliferate in many directions.It is likely that relatively well-to-do rural consumers will graduate to more sophisticated products as they start expecting more than just the core benefits of the product. The gap of rural consumers from product generalisation (one clearing soap for all purposes) t o product specialization (toilet soap for bathing, shampoo for washing hair, detergent for washing clothes) promises better growth for urban-centric products presently used in rural areas. Increased literacy and awareness levels are bound to lead to an influx of new product categories like educational and lifestyle products.The first mover in new product categories in the rural market will benefit and is more likely to succeed by achieving brand stickiness, making it difficult for late entrants. BIBLIOGRAPHY BOOKS * Pradeep kashyap and Siddhartha raut, ‘The rural marketing book’. * Gupta, V. K. , ‘An Approach to Rural Marketing’, Indian journal of marketing. * Dr. Francis Cherunilam, â€Å" bodied Scene †The Menace of Fake Products” Organisational Management * Lee Hoe, Gillian Hogg, Susan Hart, (2003), Fakin’ It: Counterfeiting and Consumer Contradiction, European Advances in Consumer Research, 6: 60-67. Alain d’Astous, Ezzedine Ga rgouri, (2001), Consumer evaluations of brand imitation, European daybook of Marketing, 35(1/2): 153 †167. * Gardner, David M. (1975), Deception in advert: A Conceptual Approach, Journal of Marketing Z% Qan. ), 40-46. * Jacoby, Jacob;Olson, Jerry C. ;Haddock, Rafael A. , (1971), Price, brand name, and product composition characteristics as determinants of perceived quality. Journal of utilize Psychology, 55(6): 570-579 * Robert C. Bird, (2007-2008), Counterfeit Drugs: A world(prenominal) Consumer Perspective, Wake Forest Intell. Prop. L. J. , 387. Arghavan Nia, Judith Lynne Zaichkowsky, (2000) Do counterfeits devalue the ownership of luxury brands? , Journal of Product ; Brand Management, 9(7): 485 †497 * Miaoulis, George and Nancy DAmato (1978), â€Å"Consumer Confusion and Trademark Infringement,” journal of Marketing, 48-55. * Irena Vida, (2007), Determinants of Consumer Willingness to grease ones palms Non-Deceptive Counterfeit Products, Managing Global Tr ansitions 5 (3): 253â€270. * Harvey, M. G. , and A. Ronkainen. 1985. planetary counterfeiters: Marketing success without the embody or the risk. Columbia Journal of World Business 20 (3): 37â€46. Shih Jung Wang, Lily Shui-Lien Chen, (2011), Consumers’ attitudes towards different product * category of private labels. African Journal of Business Management, 5(17): 7616-7621. * Kambiz Heidarzadeh Hanzaee, Sara Ghafelehbashi, (2012), The purpose of Product Involvement, Knowledge, and Perceptions in Consumer bargain for Behavior of Counterfeits: Perspective Muslim Country. J. Basic. Appl. Sci. Res. , 2(1): 418-425. * Roberta Hupman, Judith Lynne Zaichkowsky, (1995), Brand imitation and the consumer: an honourable perspective, European Advances in Consumer Research, 2: 418-424. Elfriede Penz, Barbara Stottinger, (2005), Forget the â€Å"Real” thingâ€Take the Copy! An explanatory Model for the Volitional Purchase of Counterfeit Products. Advances in Consumer Re search, 32: 568-575. WEBSITES: * www. google. com * www. wikipedia. com * www. businessmanthra. com ANNEXURE QUESTIONNAIRE A STUDY ON CUSTOMER PERCEPTION OF FAKE BRANDS IN FMCG WITH SPECIAL credit TO RURAL AREAS IN THENI soil 1) Name: _________________________________ 2) Age: a)15-20yrs b)21-25yrs c)26-30yrs d)above 30yrs 3) grammatical gender: a)male b)female 4) Education )below 8th b)9th-12th c)UG d)PG 5) reputation of occupation a)business b)employed c)professional d)housewife 6)Number of members in the family a)2 b)3 c)4 d)above 4 7) Monthly income a)below ? 3000 b) ? 3000-? 5000 c) ? 5000-? 10000 d)above ? 10000 8) Type of family a)joint b)nuclear 9) what are the fake products available in the market? a)chocolate b)cosmetics c)detergents d)others 10) Did you expect top branded FMCG products are available in this area? )yes b)no 11) Are you a user of fake brands? a)yes b)no 12) In which place do you purchase fake products? a)retail outlet b)petty shop c)departmental store d)s uper market 13) What influence you to choose the fake brand? a)quality b)price c)packing d)quantity 14) How do you identify fake brand with other? a)name b)symbol c)slogan d)trademark 15)i) Do you give importance to the price of the product? a)yes b)no ii) If yes? You concentrate in )discount b)less price 16) Does the packing of the brands influence in buying behavior? a)yes b)no 17) What is the overall view on fake brands? a)useful b)very useful c)necessary d)not useful 18) Give the degree of delight about fake brands? a)excellent b)good c)average d)below average 19) Do you feel fake brands saves large sum of money? a)yes b)no 20) Would you think fake products are healthy? a)yes b)no 21) Would you get any offer for fake brands? a)yes b)no i) If yes what are they? a)discount b)gift c)others 22) Are you cheated with fake products? a)yes b)no ii) If yes how? a)name b)symbol c)quality d)price 23) How do you rate the quality of the product & your preferred brands? a)poor b)fair c)g ood d)excellent 24) What are the reasons for not purchase fake FMCG products? a)not necessary b)high price c)low quality d)not familiar 25) What are the alternate(a) purchase plans, if preferred brand is not available? )go to other shop b)postpone the purchase c)will buy other brand d)place order to get required brand e)any other 26) Are you satisfied with present distribution system? a)yes b)no 27) Manufacture sell the fake products through a)van b)cycle c)door †door step d)other 28) Did you obey the voice of the retailer of buying FMCG products? a)yes b)no 29) Do you take any steps to avoid using fake brands? a)yes b)no 30) Your semiprecious suggestion if any ————————————————- ————————————————-\r\n'