Loading...

15 May 2026 15:55

Advertising & Marketing

77% Indians Withheld Shopping for Big Diwali Discounts

77% Indians Withheld Shopping for Big Diwali Discounts

77% Indians Withheld Shopping for Big Diwali Discounts

77% Indians Withheld Shopping for Big Diwali Discounts• Clothes, Sweets & Dry Fruits, Chocolates, Footwear and Mobiles are the Top Five Planned Purchases Items this Diwali

• Flipkart, Amazon and SnapDeal stands out as preferred online shopping market place

• Maruti Suzuki, Tata Motors, Mahindra & Mahindra, Toyota, Hyundai are most preferred 4 wheelers

More than third (77%) Indians have withheld purchase decision till Diwali / Festival Season in anticipation of heavy discounts, according to the Festival Shopping Trends survey conducted by global research firm Ipsos.

“This festive season bargain-hunting may become the preferred choice for majority of Indians with the current increase in prices of vegetables and staples impacting the festival shopping budget. Higher discounts will help people save money and is an added incentive for spending on long desired items,” said Biswarup Banerjee, Head of Marketing Communication, Ipsos India.

Majority (56%) of people in India plan to shop this Diwali and remaining 44% said they won’t go shopping this Diwali.

The top 10 planned purchases items are Clothes (68%), Sweets & Dry Fruits (35%), Chocolates (24%), Footwear (24%), Mobiles (20%), Watch (17%), Bags, Belts & Wallet (14%), Perfumes/ Deodorants (12%), Sunglasses (10%) and Jewelry / Gold (8%).

Rs. 7232 is the estimated average planned shopping budget this Diwali according to the Ipsos survey. However, a large majority (70%) said that there planned shopping expenditure during this Diwali is less than Rs. 5000.

Just 6 percent Indian citizen said that their shopping budget during this Diwali is between Rs. 20,000 to Rs. 50,000. In this group, rich and higher middle class income families were significantly higher than middle and lower middle income families. Only 1 percent of rich Indians claimed that their planned expenditure during this Diwali is between Rs. 50,000 to Rs. 100,000.

Eight in Ten (81%) people plan to shop at a Retail Store in their city, and remaining 19 percent plan to shop through online marketplace.

Flipkart (70%) has emerged as the preferred online shopping destination of those people who plan to shop online, followed by Amazon (47%), SnapDeal (36%), Home Shop 18 (11%), Jabong (9%), eBay (7%), Myntra (6%), Shopclues (4%) and Naaptol (4%).

Shubhranshu Das, Executive Director – Ipsos Marketing, India said, “with 19% intending to make their purchases online, retail platforms such as Flipkart, Amazon and SnapDeal stand out as their preferred brands. The growth in online shopping is likely to continue and the focus on mobile shopping apps, an increase in mobile advertising, geo triggering options and special promotions will possibly add further impetus.”

Out of the people who said they will purchase from brick & motor retail stores, one in two (55%) people still prefer to shop from Local Retail Stores. BigBazaar (41%) stands out as a preferred destination for festival shopping in comparison to other organized retail chains.

Shoppers Stop (9%), Reliance Trends (8%), Life Style (6%), Pantaloons (6%), D Mart (6%), Croma (4%), and Star Bazaar (3%) are the other preferred big players in organized retail business.

“There is a dominating perception among consumer that purchase from local outlets can deliver better discounts through bargaining. This is likely to remain consistent as far as festival shopping is concerned,” added Shubhranshu.

Only 12 percent people intend to buy a vehicle, out of which one in ten (10%) plan to buy 2 wheelers and 2 percent plan to buy cars.

Out of the people who said they intend to purchase 2 wheelers, a whopping 51 percent plan to buy Honda 2 wheelers, followed by Bajaj (11%), Hero MotoCorp Ltd (9%), Yamaha (8%), TVS (6%), Suzuki (6%), Royal Enfield (4%) and Mahindra (3%).

Maruti Suzuki (36%) is the leading choice of people who plan to buy 4 wheelers, followed by Tata Motors (18%), Mahindra & Mahindra (14%), Toyota (14%), Hyundai (9%), Audi (5%), and Volkswagen (5%).

Ipsos Festival Shopping Trends survey was conducted through Ipsos Omnibus service (IpsosBus) in October among 1035 men and women in Delhi, Mumbai, Kolkata, Chennai, Bengaluru, Hyderabad, Ahmedabad and Lucknow.

(Visited 11 times, 1 visits today)
peri hokiperihokiduta76duta 76AWSBEThttps://sintnicolaasschool.com/https://abc1131aa.com/kincir88cakar76Slot mahjonghttps://www.abc1131.it.com/stc76aws micro engagement ai multiplier mahjongaws perspektif pemain winrate historisaws wild multiplier mahjong pgsoft intensaws durasi sesi scatter hitam turboaws perhitungan waktu algoritma bandito rtpaws pola rahasia simbol premium mahjongaws analisis kuantitatif simbol premium mahjongaws presisi data algoritma scatter mahjongaws transformasi rtp stabil pgsoft datamekanisme transisi simbol gold silver mahjong ways 2evolusi paylines dampak volatilitas mahjong wins 3probabilitas fitur scatter hitam ritme engine mahjonglogika akumulasi multiplier kemenangan mahjong ways 2evaluasi stabilitas rtp respon server mahjong wins 3mahjong wins pola scatter wildkajian scatter hitam mahjong wins 3aws formula mahjong detail spin terbaruaws interval spin scatter hitam mahjongaws konsistensi lucky neko ekspektasi realistisaws investigasi multiplier starlight princess kombinasiaws mindset pengguna rtp live mahjongaws validasi pola sweet bonanza rtpaws pergeseran rtp pgsoft lonjakan trenaws riset algoritma rtp pragmatic massifaws strategi fenomenal wildbandito harianlogika engine algoritma scatter hitam terbaruhubungan chain reaction multiplier mahjong ways 2perbandingan struktur engine mahjong wins 3 ways 2rahasia transisi simbol emas pg soft mahjongfaktor latensi server respon mahjong wins 3arsitektur strategi analisa pola mahjong wild deluxe logika sicbo kalkulasi gates of olympus slot onlineintelegensia permainan analisa pola presisi starlight princess teknik transisi baccarat mahjong ways 2 pgsoft kasino onlineprotokol elite optimalisasi teknik probabilitas blackjack ekosistem mahjong wins 3 pragmatic sweet bonanzasinopsis teknikal algoritma wild west gold taktik cerdas mahjong ways 2 pgsoft roulette rtp liveprotokol profit analisa pola transisi mahjong wins 3 prgmatic eskalasi peluang sugar rush sv388 blackjackaws evolusi spamspin live rtp mahjongaws gamechanger rtp live mahjongwinsaws kalkulasi ai mahjong terstrukturaws kondisi optimal scatter premium mahjongaws konsistensi strategi aman mahjong2aws logika putaran bonus konsistenaws monitoring rtp ekosistem mahjongwinsaws optimalisasi kestabilan mahjong konsistensiaws scatter berjejer koigate aiaws strategi multiplier gates olympus stabilssss1ss2ss3ss4ss5ss6ss7sinkronisasi rtp live peluang teknik sicbo analisa pola mahjong wild deluxe strategi gates of olympusanalisa teknik strategi mahjong ways 2 pgsoft taktik baccarat pola peluang rtp live starlight princessstrategi hibrida analisa peluang teknik blackjack pola taktik mahjong wins 3 pragmatic rtp live sweet bonanzaarsitektur peluang analisa strategi roulette taktik pola mahjong ways 2 pgsoft teknik rtp live wild west goldsinergi analisa peluang strategi mahjong wins 3 pragmatic teknik sugar rush taktik sv388 rtp livemetodologi analisa rtp live mahjong wild deluxe taktik dadu sicbo pola peluang paten gates of olympustaktik manajemen peluang analisa pola mahjong ways 2 pgsoft teknik baccarat strategi rtp live starlight princessmetrik akurat analisa peluang blackjack taktik strategi mahjong wins 3 pragmatic teknik pola rtp live sweet bonanzakonvergensi analisa kemenangan strategi peluang roulette taktik pola mahjong ways 2 pgsoft teknik rtp live wild west goldoptimalisasi momentum pola strategi sugar rush analisa mahjong wins 3 pragmatic teknik peluang sv388taktik cerdas pola mahjong wild deluxe teknik dadu sicbo strategi gates of olympus rtp live tertinggistrategi sinkronisasi probabilitas analisa rtp live starlight princess teknik mahjong ways 2 pgsoft pola taktik baccaratformula pola silang teknik analisa blackjack strategi pola mahjong wins 3 pragmatic taktik peluang rtp live sweet bonanzamanipulasi momentum teknik strategi roulette analisa pola mahjong ways 2 pgsoft taktik peluang rtp live wild west goldmetodologi cerdas taktik rtp live sugar rush analisa pola mahjong wins 3 pragmatic strategi peluang sv388investigasi algoritma smart tumble mahjong ways 2mekanisme rng scatter hitam mahjong terbaruanalisis multiplier volatilitas mahjong wins 3anatomi frekuensi gold frame mahjong wayssinkronisasi engine visual mahjong wins 3luckyneko turbospin multiplier terupdatescatter berlapis mahjongwins polascatter hitam turbospin probabilitasvalidasi kredibilitas sweetbonanza rtpwild probabilitas multiplier mahjongai microengagement multiplier mahjongwinsanalisa sistematis wildbandito otomisasihistoris multiplier gates perspektifintensitas spin starlight konsistensymbolstutter multiplier gatesolympusdata putaran starlight scatterdata spin pgsoft rng scatterinteraksi pengguna luckyneko komunitasspinotomatis pragmatic putaran konsistenstatistik simbol ekspektasi akurat Top