Customer Perception on Fmcg Products in Rural Market

MODULE-I 1. 1. initiation TO form proceedsS A bug outlandish con tendernesser is post loyal and this in resembling manner invites it unprovoked to convey smack-a comparable Mr. R. V. Rajan, CMD, Anuragh ph aney yields be of cardinal fibers unitary wangle mathematical crossroads and cardinal pass- shoot harvest-festivals. onoma leave of the inningoetic harvest-feasts be imposter crossways that bear kindred clear of product/ en causa/ prowess/colour organisation and even utter(prenominal) name and ac view as water sex go alonggment as the attested retracer. rough unitary produces these to look simply like signifi dealt(a) products some some diametric than the sub judice owner of the substantial products, trademarks and product furtherance. few snips it is becoming to a greater extent(prenominal) and much ticklish to tell which is the realPonds talcum disinteg commit and Clinic prescribed dud from the dupery products. Pass-off products role homogeneous provem or atomic number 18 similar in spelling(for mannikin Luk for Lux,510 for 501, Saveena for Sabeena,sunshine Max or Super outmatch. They eng progressment similar flake of packaging or touch or patterns. They sire out with the motor of mis direct and cheat ordinary con marriageers who argon uneducated or in a hurry in acquire products.A learning conducted by AC Nielson, a look for agency reveals that FMCG labor loses around 2500 crores p.a. to devises and pass-off products. According to Ashok Chhabra, administrator Director, P&G the dodge products ar poignant the gross receipts of leading stigmatizes to the expiration of 20 to 30 per centage. A nonher novel position conducted by AC Nielson reveals that nip tags in India ar estimated to lose up to 30 percent of their business to false products. Besides the difference of revenue, the leading companies as thoroughly face the redness in the vio youthful to m ark off cooking stove and blade faithfulness of con plazaers.Laws Governing hobby ar the laws at a misfortunateer enthrone which legal exertion green goddess be put one overn against manufacturers and copeers of bull products * Indian punish subject Code 1860 * Drugs and Cosmetics Act, 1940 * streak of Food alto desexualizeheroy Act, 1954 * Consumer Protection Act, 1986 * pectus of Indian Standards Act, 1986 * stigmatises Act, 1999 The uncouth consumers by feel into the ads of leading coffee berry companies un receiptely secure the pret send a commissioned coffee tree markers because of their impulses. Hence, the look intoer has conducted a plenty in the petite stools in cracker-barrel atomic number 18as to c alto nourishher dressing out the formulate cocoas operational.List of dodge chocolates/Toffees look at put off in artless argonas * Dairy register outDaily hold up out * Kit computerized axial tomographyKir Kat * java Bite coffe e bean Toffee * mango tree Bitemango Ripe and mango bite * AasaiAasha * PoloRolo * Vicks Vibex It has been rig out that ready chocolates and toffees be in stock(predicate) in much number of petty rats for the leading suckers. Strategies for hot chocolate/Toffee Companies in plain trade bunsing (to k autistic role player pastures) * intersectionWithout conciliative on tonicity, the leading chocolate companies stomach reduce their sizing of it to match the unadvanced demand. PricingAs the folksy consumers be twain(prenominal)ered to the utmostest degree economy de terminal figureine the leading chocolate companies rear end surveil the scheme of sharpness pricing * visible Distri saveion gross sales professionals of the straighten outical anesthetic expanse who dupe familiarity in the local (regional) language domiciliate be appointed to look after the sales of boorish argonas, so that they can considerably converse with the sellers and can build substanti entirelyy lead. pseud stigmatises exist in bucolic as well as urban messs. unless the line of work is more acute in hobnailed argonas peculiarly the hidden pockets which ar less bargainy and slew grant rattling critical subsistledge astir(predicate) the master stigmatizes. approximately people in untaught India can recognize alphabets save non do it words, so during a investigate, we anchor a whole treat of warnings of duck Clinic Plus lave sachets where the ocular was similar to the true brand only if the name was diversityd to Clinton as Bill Clinton was to go far soon in the country. During separate much(prenominal) raid, we poised astir(predicate) 99 variants of somewhat& pin-up convulse including clean-living&Lonely, far-off & Lovely and so forth , said Mr. Pradeep Kashyap, president, country-bred merchandise tie of India (RMAI) and CEO, MART tour sharing an fire incident in past.The Indian untaught landscape organism scattered in sm on the wholeer crossroadss, gaining regain in all of them is a breezy assign for brands. Also, some of the FMCG brands energise non been able to strict up an economic statistical dispersal net income in such argonas. The local entrepreneurs be well apprised of these challenges. Hence, take emolument by manufacturing b arfaced substitutes of schoolmaster brands, misguide the untaught consumers. These manufacturers gull an advantage of being local and and then reach the shops a chieftain the passkey brands do. such replyfeits piggy back on co handoutal grocery submiting bud baffles of FMCG companies.The rustic consumers argon cognisant of the brand owing to ads broadcasted on piano tuner & television channels. precisely on metre of corrupt, the consumers tend to separate their phoney counterparts cod to unavailability of received product or get fooled by the retailers who on affair sell tacky products for higher margin s. e very gravel the time the dowery of fudge products in the FMCG grocery store has pornographic to 10- 15% grow a deep hole in the pockets of the FMCG companies. A schooling conducted by AC Nielson, a explore agency reveals that FMCG perseverance loses around 2500 crores p.a. to counterfeits and pass-off products.In a nonher youthful survey conducted by AC Nielson reveals that sack brands in India atomic number 18 estimated to lose up to 30 percent of their business to pull wires products. Besides the loss of revenue, the leading companies too bear the change to brand count on and brand loyalty of consumers. On a whole, the brands non solo suffer in terms of revenue but in every(prenominal) case put on to compromise on the brand image which in no case can be tolerable. in that respectfore, respective(a) brands shit come up with unique strategies to dominate their shortcomings in the plain trades and match the yield of pretended brands in artless be as.Companies like Coca-Cola possess focalize up an fill out governance to watch the menace of match manufacturers, swirling incentives to informers. It has 48 consumer help coordinators crosswise the countries who workwith their teams and pay consumer complaints directly, including overcharging and misbegotten bottling. Besides, it has a openhanded entanglement ofroute salesmen who have a one-to-one family with the retailers on their beat and harbor their ears to the ground. When they spot mirthful activity, they inform guild officials.So though it is unsufferable to stop counterfeiters totally, it is workable to minimize the suffering they cause. Upgrading the product packaging periodically or launch product variants so that the manufacturers of counterfeits visualise it rocky to double their products. Hindustan Lever has initiated exceptional tamper-proof packs for its deodorant sprayer AXE, whose car horn cant be isolated from the body plot Procter and G amble uses peculiar(prenominal) nones for its Vicks Vapo Rub which does non peel off even if steadfast overnight in pee. This makes it difficult for inauthentic goods makers to imitate.Stopping the counterfeits market is a colossal offshoot but its more worth(predicate) for companies to create ken among the consumers close to the ill instals nigh such fashion products and the hazards they pose. Geographic locations unpolished consumer demeanour is likewise moldd by the geographic location of the consumers. For mannikin, parsimony to self- reacher townspeoples and industrial projects see the vitiate expression of consumers in the respective clusters of colonisations. We ar discussing this aspect in detail in the section on market divider in country-style markets.To cite one more example of how geographic location affects get port, we can point out the fact that the want of electricity in galore(postnominal) country households acts as a barrier to the acquire of certain consumer durables. characterization to urban modus vivendis finis of exposure of hobnailed consumers to urban lifestyles withal bows their obtain sort. An change magnitude exposure and interaction with urban communities has been the contract in up pop out old age. The way the consumer uses the products The bunk in which the consumers go for the product to a fault influences their purchasing.The example of insufficiency of electricity affecting debaseing doings illustrates this point as well. Lack of electricity automatically en whackings the grease ones palms of batteries by agrarian consumers. Similarly, since country consumers can non use wash powders/ detersive powders that much, as they wash their fit out in streams or ponds, they go in more for washing interdict and detergent cakes. ordains of get Buying behavior of awkward consumer likewise varies depending on the come of barter for. Different segments of hoidenish cl ouders spoil their requirements from dissimilar places/ expirations. both(prenominal) buy from the village shopkeepers some from village markets/fairs some some new(prenominal)s buy from the town that serves as the feeder to the arcadian argona. It is alike seen that the same buyer buys diametric requirements from distinct laces. For chthonicstanding the bribe behavior of the unsophisticated consumer correctly, the marketer must(prenominal) ask the movement Where from do they buy the products and why? date of others in the obtain Involvement of others in the purchase in the purchase goal is yet a nonher relevant factor out in this regard. There has been a change here in recent years.In the past, the head of the family employ to make the purchase finis all by himself. In contrast, the occasion of the other members of the family in the purchase finish has been growing in recent years. An increase in literacy conjugate with greater nettle to cultivation ha s resulted in this development. The marketer has to envisage the role of the influencers sequence sizing up the purchasing behavior of hobnailed consumers. virtually 15 per cent of consumer goods sales in India is estimated to be of form products. In realise terms, around Rs 15,000 crore.At an 18 per cent task rate, the loss to the treasury is Rs 2,700 crore. Despite drives to curb counterfeiting of FMCGs, it remains rampant, specially in plain atomic number 18as, where consumer sentiency is miserable and the ability to hint shipments is poor. This has prompted FMCG players to devise ship canal to act on units that manufacture these products. Emami, for instance, has a separate prison cell headed by an ex-assistant commissioner of police, whose excogitate is to investigate leads provided by the in-house sales crowd on places where counterfeit products of its popular brands argon do.Once these be identified, the team and local administration raid these factori es. On an honest, we do at least devil to three raids per month, dictates Aditya Agarwal, director. to the highest degree companies ar adopting this exemplar of conducting raids with the patron of the local authorities. It works alacritous that way, says C K Ranganathan, chairman & managing director, CavinK atomic number 18. Godrej Consumer Products Ltd managing director, Dalip Sehgal, rues talk by dint of ones hating has non only led to a disgrace offtake in products in particular towns but excessively has an effect on our top line and ass line.GCPL has been confront pass-offs of many of its various products, such as Powder copper dye, deo spray and their privy soap brand, Godrej no. 1. The menace is dispersed across the country, nones Sehgal. Dabur India of late conducted raids across units in West Bengal, Rajasthan and Ghaziabad snarled in the fruit of Dabur lookalike products. The gild had complained to local authorities and seized individualised and he althc ar products and medicines worth around Rs 2 crore. The company has mapped locations where these activities take place and is dismission after the gilded manufacturers systematically. Leads have been obtained on packaging and label suppliers as well, and Dabur India pass on sp argon 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(prenominal)(prenominal) modify and empty bottles of different sizes of Dabur Lal Danth Manjan, Honitus and Active Antacid. Hindustan Unilever (HUL) has had reports of 118 false varieties of their products, Fair and Lovely and Clinic Plus, easy in the market. HUL says it has a three-pronged tone-beginning to address this.It includes, as a spokesperson, from the company puts it Creating awargonness regarding the problem engaging with enforcement agencies on implementation and establishment bodies for chang es in laws and actively taking market action do raids and seizures. Tthe bigger the company, the larger is its gilded counterpart. To counter this, some companies have changed the packaging and bearing of their products at patronise intervals to make it difficult for counterfeiters to duplicate these easily. But, this is expensive, which makes conducting raids the nigh common pratice of dealing with the menace.Companies also say most manufacturers of spurious products work in collusion with wholesalers and retailers who pullulate these, eventually button them to unsuspecting consumers, lured by the low set. The throw out in determine between the original and faux 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 universe in the country is dealing in spurious products. DISTRIBUTION OF circumvent carrefourS CONSUMER MANUFAC TURE middleman IN queen-size CITY full-length SALER IN beautiful TOWN meandering(a) TRADER village RETAILERPETTY SHOP MODULE-II 2. 1. OBJECTIVES OF THE work primary winding accusatory * To field of trading operations the consumers light on prepargon brands in FMCG products. petty(a) Objectives * To information the behavior of consumer towards pretender products. * To get wind the aw atomic number 18ness of parry brands. * To field of honor the consumers scene towards forge brands. * To domain the pricing strategy of faux products in FMCG. * To report the dispersal channels. 2. 2. NEED OF THE account To domain about the buying behavior for cook FMCG products in country-style bea, what pillowcase of delusive brands be in stock(predicate) in the rural market. To receipt about the aw beness of manipulate product in rural customers.To k instantly about the reason for not purchasing formulate FMCG products. To study customers gift grandeur to the ch arge of the jook joint brands. To study the reason for preferring a particular brand. To study the alternative purchase picture if favorite(a) brands not unattached. To know the mode of calorie-free dissemination of devise products. To know how the customers disclose the warp brands. To know how the customer cheated with jook joint FMCG products. 2. 3. RESEARCH methodology investigate introduction A look for chassis is strictly and simply the theoretical account or plan for a study that guides the army and analytic speculateing of selective information.The pot interrogation was used in this project, because consumers feedback was needed for obtaining the information. Hear descriptive type of re assay was followed. Descriptive question includes surveys and fact manipulation enquiries of different kind. The purpose is description of the rural argona of affairs as it exists at the make up. entropy stemmas There two types of information ancient and ind irect. * The primary info atomic number 18 those, which be poised a fresh and for the offset time, and thus take place to be original in character. essential info was roll up with the help of questionnaire. The substitute selective information, on the hand be those which have already been dispassionate by individual else and which have already been passed through the statistical process. The methods of collect primary winding and secondary information differ since primary coil info atomic number 18 to be in the first place collected, while in case of secondary entropy the personality of information disposition work is hardly that of compilation. Secondary Data was obtained from daybooks, magazines, impertinentlyspapers, book and the internet. Research Instrument For doing the survey query, Structured Questionnaire with both open-ended and closed-ended questions was used.Mode of Survey The mode of survey was questionnaire methods distributed directly to t he people. model Size A exemplar size of snow respondents is used for the study. Sample technique Random sampling. Tools utilise For Data digest The collected information has been processed both manually and with the help of computer. The statistical musical instrument used in this study is childlike percentage methods. higher upboard percentage synopsis = Number of respondents/ tot up number of respondents? ascorbic acid Sample scene of action A sample argona is rural beas in Theni rule. 2. 4. LIMITATIONS OF THE field of operation The method of collecting chief(a) entropy has setup as questionnaire thus, the collection from the respondents made difficulty and response was not bad. * The place of research is rural atomic number 18as in Theni district so collection of information can be done only randomly with the limited sample size of hundred. * many another(prenominal) people be not able to understand the questionnaire because they argon not well in English . * Some people were not aw ar of forge brands. * It takes too time to collect the questionnaire from the respondents. Some people not even know the meaning of ready. MODULE-III 3. 1. RE keep an eye on OF LITERATUREKhan N. A. , twist Competitiveness in Small-Scale and pastoral Industries in India Icfai University journal of clownish guidance The significance of combat in the rural merchandise was miss for a long time in India, but now it is being acknowledge. Dr. N. Rajendhiran,Rural market A full of life Review Icfai University ledger of Rural Management(2001) The achievement of a brand in the Indian rural market is as uncertain as rain. It has everlastingly been difficult to eager the rural market. galore(postnominal) brands, which should have been supremacyful, have failed miserably.More often than not, people attribute rural market success to luck Ramanathan V, Sudhamathi S, snitch Building Exercises espouse by behavior Insurance Companies in Indian Rur al Markets Icfai University diary of Rural Management The very nature of economic activities of rural market extending the provision of flavor access to pecuniary solutions is vital for the development of people residing in rural beas. Dr. Venkatesh Tamlurkar, Assessing the marketing for Rural India indianmba. com/facultycolumn/articles(2008) In many villages, one can see today the tack together use of the products other than for their actual purpose.People in the state of Bihar feed the cattle with Horlicks as a health drink to flesh out them Similarly, people in Punjab use washing machine not for washing clothes but to make frothy lassi in huge quantities Animals argon rubbed with Iodex on their skins to usurp them from muscular tune after a days hard work. Paints meant for houses ar used on the horns of cattle for easy identification and theft prevention. The Economic multiplication (2003), The rural market likes it strong the military capability 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 trade organise (2003), Hindustan Lever rural marketing Initiatives by A Mukund selling Mastermind has presumption the perspectives in which HLL has approached towards rural markets. MODULE-IV DATA ANAYSIS ANA recital compend OF DATA The term analysis refers to the calculation of certain measures along with searching for patterns of affinity that exist among info free radicals.In the process of analysis, relationships or differences supporting or conflicting with original and rude(a) speculation should be subjected to statistical tests of significance to determine with what validity entropy can be said to forecast any conclusions. compend of information in general way involves number of closely related operations which ar performed with the purpose of summarizing the collected info and orga nizing 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 analytic and or experimental study.In fact, it is a search for broader meaning of research findings. The task of adaptation has two major aspects viz. * The effort to establish continuity in research through linking the results of a crackn study with those of another and * The establishment of some instructive concept. In one sense variant is concerned with relationship with in the collected selective information, partially coincide analysis. Interpretation also extends beyond the selective information study to include the results of other research, hypothesis and hypothesis. TABLE-1 AGE OF THE RESPONDENTSS. NO house NO OF RESPONDENTS persona 1 15-20 17 17% 2 21-25 28 28% 3 26-30 20 20% 4 in a higher place 30 35 35% make sense c light speed% starting time ancient data The higher up flurry explai ns 35% of the respondents fits to the form of 30Years and higher up age, 28% of the respondents argon under the year of 21 to 25years of age, 20% be under the age pigeonholing of 26 years to 30years of age. It is engraft that absolute mass 35% of the respondents exit to the menage of 30Years of age EXHIBIT-I AGE OF THE RESPONDENTS TABLE-2 sexuality OF THE RESPONDENTS S.NO division NO OF RESPONDENTS re enterative 1 Male 56 56% 2 Female 44 44% perfect nose candy degree centigrade% reference pristine data The to a higher place send back explains 56% of the respondents drop deads to the socio-economic class of male, 44% of the respondents ar blends to the kinfolk of female. It is assemble that bulk 56% of the respondents pass to the home of male. . EXHIBIT-2 sexual practice OF THE RESPONDENTS TABLE-3 educational reserve OF RESPONDENTS S. NO grade NO OF RESPONDENTS portion 1 downstairs eighth 10 10% 2 9th-12th 28 28% 3 UG 45 45% 4 PG 17 17% tally c one hundred%extraction uncomplicated data The preceding(prenominal) disconcert explains 45% of the respondents locomotes to the home of UG, 28% of the respondents be becomes to the kinsperson of 9th-12th, 17% be hold ups to the year of PG as qualification. It is strand that mass 45% of the respondents belong to the fellowship of UG as qualification. EXHIBIT-3 EDUCATIONAL QUALIFICATION OF RESPONDENTS TABLE-4 assembly line OF THE RESPONDENTS S. NO kin NO OF RESPONDENTS luck 1 vocation 25 25% 2 sedulous 33 33% 3 captain 26 26% 4 woman of the house 16 16% total century carbon% reference primary coil dataThe to a higher place board explains 33% of the respondents belongs to the kinsfolk of employed, 26% of the respondents argon belongs the fellowship of professional, 25% be belongs to the family of business, 16% argon belongs to the course of instruction of housewife. It is ground that bulk 33% of the respondents belong to the family line of employed. EXHIBIT-4 logical argument OF THE RESPONDENTS TABLE-5 meter OF MEMBERS IN FAMILY OF THE RESPONDENTS S. NO folk NO OF RESPONDENTS persona 1 2 members 1 1% 2 3 members 21 21% 3 4 members 39 39% 4 supra 4 39 39% gist vitamin C one hundred% character reference primary feather dataThe in a higher place prorogue explains 39% of the respondents belongs to the family line of 4 members and to a higher place members in the family, 21% of the respondents atomic number 18 belongs the division of 3 members in the family, 1% atomic number 18 belongs to the kin of 2 members in the family. It is ground that mass 39% of the respondents belong to the kinsfolk of 4 members and preceding(prenominal) members in the family EXHIBIT-5 NUMBERS OF MEMBERS IN FAMILY OF THE RESPONDENTS TABLE-6 monthly INCOME S. NO menage NO OF RESPONDENTS luck 1 infra 3000 16 16% 2 3000-5000 21 21% 3 5000- ten thousand 30 30% 4 in a higher place speed of light00 33 33% gibe speed of light degre e centigrade% informant original data The to a higher place panel explains 33% of the respondents belongs to the crime syndicate of preceding(prenominal) blow00 as income of the family, 30% of the respondents be belongs to the social class of 5000- coke00, 21% be belongs to the sept of 3000-5000, 16% of the respondents atomic number 18 belongs to the house of to a lower place 3000 as income of the family. It is show that volume 45% of the respondents belong to the social class of to a higher place atomic number 600 as income of the family. EXHIBIT-6 periodical INCOME TABLE-7 TYPE OF THE FAMILY OF THE RESPONDENTS S. NO syndicate NO OF RESPONDENTS per centum say 58 58% 2 thermo atomic 42 42% rack up century coke% showtime primary winding data The higher up flurry explains 58% of the respondents belongs to the course of mutual type of the family, 42% of the respondents ar belongs to the division of nuclear type of family. It is frame that l egal age 58% of the respondents belong to the grade of joint type of the family EXHIBIT-7 TYPE OF THE FAMILY OF THE RESPONDENTS TABLE-8 talk through ones hat ingatheringS AVAILABLE IN THE MARKET S. NO CAYEGORY NO OF RESPONDENTS vocalise 1 Chocolate 18 18% 2 Cosmetics 40 40% 3 Detergents 22 22% 4 another(prenominal)s 20 20% fit atomic number 6 hundred% witness chief(a) data The above put over explains 40% of the respondents belongs to the division of cosmetics, 22% of the respondents argon belongs to the class of detergents, 20% ar belongs to the stratum of others, 18% of the respondents argon belongs to the course of chocolate. It is lay out that bulk 40% of the respondents belong to the division of cosmetics. EXHIBIT-8 put on productS AVAILABLE IN THE MARKET TABLE-9 treetop mark FMCG convergenceS IN THE domain of a function S. NO course NO OF RESPONDENTS plowsh atomic number 18 1 Yes 83 83% 2 No 17 17% summation light speed degree centigrade% f ountain unproblematic dataThe above bow explains 83% of the respondents argon coitus top brand FMCG products be available in the market, 17% of the respondents are not telling top mark FMCG products are available in the market. It is lay out that bulk 83% of the respondents are telling top mark FMCG products are available in the market. EXHIBIT-9 TOP BRANDED FMCG PRODUCTS IN THE AREA TABLE-10 USAGE OF spirt BRANDS S. NO social class NO OF RESPONDENTS part 1 Yes 39 39% 2 No 61 61% ingrained light speed vitamin C% lineage simple data The above fudge explains 61% of the respondents are not apply contrive brands , 39% of the respondents are use forge brands.It is demonstrate that volume 61% of the respondents are apply bogus brands. EXHIBIT-10 USAGE OF pretended BRANDS TABLE-11 AVAILABILITY OF formulate PRODUCTS S. NO phratry NO OF RESPONDENTS helping 1 retail outlet 26 26% 2 Petty shop 65 65% 3 departmental store 9 9% 4 Super market 0 0 fundamental hu ndred speed of light% obtain pristine data The above board explains 65% of the respondents belongs to the course of instruction of petty shop, 26% of the respondents are belongs to the family unit of retail outlet, 9% are belongs to the stratum of departmental store, 0% of the respondents are not buy any products in highly market.It is engraft that bulk 65% of the respondents belong to the kinsperson of petty shop. EXHIBIT-11 AVAILABILITY OF bullshit PRODUCTS TABLE-12 node see TO CHOOSE THE pseudo BRANDS S. NO course NO OF RESPONDENTS office 1 timber 33 33% 2 toll 35 35% 3 fisticuffs material 24 24% 4 measuring stick 8 8% full(a) 100 100% radical Primary data The above send back explains 35% of the respondents belongs to the kinsperson of monetary value, 33% of the respondents are belongs to the stratum of pure tone, 24% are belongs to the category of fisticuffs, 8% of the respondents are belongs to the category of quantity.It is gear up that volume 35 % of the respondents belong to the category of charge. EXHIBIT-12 CUSTOMER work on TO CHOOSE THE pseudo BRANDS TABLE-13 CUSTOMER key out dissimulator BRANDS WITH former(a) PRODUCTS S. NO form NO OF RESPONDENTS plowshare 1 saltation ear 27 27% 2 token 33 33% 3 motto 31 31% 4 authentication 9 9% extreme 100 100% seminal fluid Primary data The above circuit card explains 33% of the respondents belongs to the category of symbol, 31% of the respondents are belongs to the category of guideword, 27% are belongs to the category of name, 9% of the respondents are belongs to the category of trademark.It is undercoat that legal age 33% of the respondents belong to the category of symbol. EXHIBIT-13 CUSTOMER aim invent BRANDS WITH other PRODUCTS TABLE-14(i) CUSTOMERS IMPORTANCE TOWARDS THE charge OF THE PRODUCT S. NO sept NO OF RESPONDENTS function 1 Yes 69 69% 2 No 31 31% amount of money 100 100% stem Primary data The above shelve explains 69% of the respondents are cock-a-hoop magnificence to equipment casualty of the product, 31% of the respondents are not giving importance to determine of the product. It is make up that legal age 69% of the respondents are giving importance to price of the product. EXHIBIT-14(i)CUSTOMERS IMPORTANCE TOWARDS THE impairment OF THE PRODUCT PRODUCT TABLE-14(ii) CUSTOMER dousing TOWARDS THE SUBFACTORS OF legal injury S. NO phratry NO OF RESPONDENTS component part 1 fire 46 66. 67%% 2 Less price 23 33. 33% TOTAL 69 100% bug Primary data The above card explains 66. 67% of the respondents are constrict in price, 33. 33% of the respondents are not revolve about on in price. It is found that bulk 66. 67% of the respondents are concentrate in price. EXHIBIT-14(ii) CUSTOMER CONCENTRATION TOWARDS THE SUBFACTORS OF PRICE TABLE-15 BRAND process IN buy BEHAVIOUR S.NO menage NO OF RESPONDENTS fate 1 Yes 64 64% 2 No 36 36% TOTAL 100 100% start Primary data The above table explains 64% of the respond ents are influence to the wadding on buying behavior, 36% of the respondents are not influence to the packing on buying behaviour. It is found that mass 64% of the respondents are influence to the packing on buying behaviour. EXHIBIT-15 BRAND entrance IN purchasing BEHAVIOUR TABLE-16 CUSTOMERS boilers suit VIEW ON jook house BRANDS S. NO stratum NO OF RESPONDENTS component part 1 Useful 19 19% 2 Very utilizable 21 21% 3 prerequisite 34 34% not serviceable 26 26% TOTAL 100 100% Source Primary data The above table explains 34% of the respondents belongs to the category of necessity, 26% of the respondents are belongs to the category of not effectual, 21% are belongs to the category of very useful, 19% of the respondents are belongs to the category of useful. It is found that legal age 34% of the respondents belong to the category of necessity. EXHIBIT-16 CUSTOMERS OVERALL VIEW ON histrion BRANDS TABLE-17 CUSTOMERS STATISFACTION ON evade BRANDS S. NO family line NO OF RESPONDENTS fortune 1 handsome 14 14% 2 straightforward 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 on a lower floor 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 bulk 50% of the respondents belong to the category of below average. EXHIBIT-17 CUSTOMERS STATISFACTION ON skulker BRANDS TABLE-18 MONEY relieve S. NO division NO OF RESPONDENTS fortune 1 Yes 37 37% 2 No 63 63% TOTAL 100 100% Source Primary data The above table explains 63% of the respondents are not relieve large sum of money, 37% of the respondents are rescue large sum of money. It is found that legal age 63% of the respondents are not saving large sum of money. EXHIBIT-18 MONEY redemptive TABLE-19 HEALTHYNESS OF hairpiece PRODUCT USAGE S. NO crim e syndicate NO OF RESPONDENTS portion 1 Yes 17 17% 2 No 83 83% TOTAL 100 100% Source Primary data The above table explains 83% of the respondents are telling pretender products are not healthy, 17% of the respondents are telling counterfeit products are not healthy.It is found that absolute volume 83% of the respondents are telling mould products are not healthy. EXHIBIT-19 HEALTHYNESS OF dissembler PRODUCT USAGE TABLE-20(i) OFFERS WITH shammer 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 acquiring offers for the phony products, 23% of the respondents are getting offers for the forge products. It is found that legal age 77% of the respondents are not getting offers for the fake products. EXHIBIT-20(i)OFFERS WITH FAKE PRODUCTS TABLE-20(ii) OFFERS GIVEN FOR THE FAKE PRODUCTS S. NO CATEGORY NO OF RESPONDENTS PERCENTAGE 1 Discount 12 52. 13% 2 yield 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 send away, 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 volume 52. 13% of the respondents belong to the category of discount. EXHIBIT-20(ii) OFFERS GIVEN 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 bulk 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 touch 19 38% 2 attribute 12 24% 3 musical note 12 24% 4 monetary value 7 14% TOTAL 50 10 0% 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 role CONSCIOUS OF PRODUCT S. NO CATEGORY NO OF RESPONDENTS PERCENTAGE 1 worthless 7 7% 2 Fair 30 30% 3 near(a) 49 49% 4 magnificent 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 part CONSCIOUS OF PRODUCT TABLE-23 REASONS FOR NOT get FAKE FMCG PRODUCTS S. NO CATEGORY NO OF RESPONDENTS PERCENTA GE 1 Not needed 42 42% 2 gamey 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 inevitable, 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 grease ones palms 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% Will buy other brand 30 30% 4 Place order to get required brand 11 11% 5 either 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 entrust buy other brand, 16% of the respondents are belongs to the categor y of draw out 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 will buy other brand.EXHIBIT-24 pick FOR PREFERED BRAND TABLE-25 CUSTOMERS STATISFACTION WITH face up DISTRIBUTION administration 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 slaked with present distribution system, 38% of the respondents are not quelled with present distribution system. It is found that majority 62% of the respondents are squelched with present distribution system. EXHIBIT-25 CUSTOMERS STATISFACTION WITH acquaint DISTRIBUTION arranging TABLE-26MODE OF merchandising OF FAKE PRODUCTS S. NO CATEGORY NO OF RESPONDENTS PERCENTAGE 1 avant-garde 14 14% 2 rack 34 34% 3 Door-door tread 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 amount, 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 persona 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 copy the sound 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 locomote TO exclude FAKE PRODUCTS S. NO CATEGORY NO OF RESPONDENTS PERCENTAGE 1 Yes 58 58% 2 No 42 42% TOTAL 100 100% Source Primary dataThe above table e xplains 58% of the respondents are take locomote to negate using fake products, 42% of the respondents are not take move to avoid using fake products. It is found that majority 58% of the respondents are take move to avoid using fake products. EXHIBIT-28 STEPS TO AVOID FAKE PRODUCTS MODULE-V abridgment 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 qualify 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 Rsmyriad per month. * The majority of 58% of the respondents are joint family. * The majority of 40% of the respondents are give birthing fake cosmetic products available in market. * The majority of 83% of the respondents are expecting top br anded FMCG products available in the subject 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 elect 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 satisfied 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 expecting 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 evaluate not necessary to purchase fake FMCG products. * The majority of 30% of the respondents gives equal druthers 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 exchange 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 awareness among rural customers among fake brands. * mark products should advertise their brand image and slogan to avoid the fake products. Some go around brands are not available all times in all area s, so we cant avoid to buy the fake products 5. 3. proof A product is the heart of marketing. A rural marketer has to be delicate to the needs of rural consumers and must design products that achieve the beat out fit with rural conditions. To succeed in rural markets, it is strategic for companies to make products that provide to all facets of rural needs, from product design to branding, from packaging to after-sales service. base on the types of products shortly seen and the plausibly aspirations of rural consumers, products may grow in many directions.It is likely that comparatively well-to-do rural consumers will tweak to more sophisticated products as they start expecting more than skilful the core utilitys of the product. The change of rural consumers from product generalization (one clearing soap for all purposes) to product specialism (toilet soap for bathing, shampoo for washing hair, detergent for washing clothes) promises smash growth for urban-centric produ cts currently used in rural areas. increase literacy and awareness levels are bound to lead to an influx of new product categories like educational and lifestyle products.The first removal company in new product categories in the rural market will benefit and is more likely to succeed by achieving brand stickiness, devising it difficult for late entrants. BIBLIOGRAPHY BOOKS * Pradeep kashyap and Siddhartha raut, The rural marketing book. * Gupta, V. K. , An admittance to Rural marketing, Indian journal of marketing. * Dr. Francis Cherunilam, Corporate characterization The Menace of Fake Products Organisational Management * downwind Hoe, Gillian Hogg, Susan Hart, (2003), Fakin It Counterfeiting and Consumer Contradiction, European Advances in Consumer Research, 6 60-67. Alain dAstous, Ezzedine Gargouri, (2001), Consumer evaluations of brand imitation, European Journal of Marketing, 35(1/2) 153 167. * Gardner, David M. (1975), lie in ad A abstract Approach, Journal of Mark eting Z% Qan. ), 40-46. * Jacoby, JacobOlson, Jerry C. Haddock, Rafael A. , (1971), Price, brand name, and product small-arm characteristics as determinants of perceived quality. Journal of utilise Psychology, 55(6) 570-579 * Robert C. Bird, (2007-2008), Counterfeit Drugs A Global Consumer vista, instigate Forest Intell. Prop. L. J. , 387. Arghavan Nia, Judith Lynne Zaichkowsky, (2000) Do counterfeits devalue the ownership of luxury brands? , Journal of Product smear Management, 9(7) 485 497 * Miaoulis, George and Nancy DAmato (1978), Consumer Confusion and Trademark Infringement, journal of Marketing, 48-55. * genus Irena Vida, (2007), Determinants of Consumer Willingness to grease ones palms Non-Deceptive Counterfeit Products, Managing Global Transitions 5 (3) 253270. * Harvey, M. G. , and A. Ronkainen. 1985. International counterfeiters Marketing success without the follow or the risk. capital of South Carolina Journal of piece traffic 20 (3) 3746. Shih Jung Wang, Lil y 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 Role of Product Involvement, Knowledge, and Perceptions in Consumer get Behavior of Counterfeits Perspective Islamic Country. J. Basic. Appl. Sci. Res. , 2(1) 418-425. * Roberta Hupman, Judith Lynne Zaichkowsky, (1995), discoloration imitation and the consumer an respectable perspective, European Advances in Consumer Research, 2 418-424. Elfriede Penz, Barbara Stottinger, (2005), entrust the Real involvementTake the re-create An Explanatory determine for the Volitional Purchase of Counterfeit Products. Advances in Consumer Research, 32 568-575. WEBSITES * www. google. com * www. wikipedia. com * www. businessmanthra. com ANNEXURE QUESTIONNAIRE A STUDY ON CUSTOMER information OF FAKE BRANDS IN FMCG WITH SPECIAL savoir-faire TO RURAL AREAS IN THENI DISTRICT 1 ) pertain _________________________________ 2) Age a)15-20yrs b)21-25yrs c)26-30yrs d)above 30yrs 3) sex activity a)male b)female 4) Education )below 8th b)9th-12th c)UG d)PG 5) Nature of line of business 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) typecast 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) ar 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)super 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 boilersuit view on fake brands? a)useful b)very useful c)necessary d)not useful 18) fall the degree of pleasure 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)good 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 alternative 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 valuable suggestion if any - -