The Mithai Shop's WhatsApp Rumour Before Diwali
Shri Ram Mishthan Bhandar runs three sweet shops in Varanasi. Diwali week normally brings 60% of annual profit; last year Diwali sales were ₹18 lakh across outlets. Ten days before Diwali, a WhatsApp voice note claims the shop uses adulterated khoya, and a local food-safety team collects samples after a complaint. No violation is found, but footfall at the main shop drops 35% in two days. The owner has ₹1.5 lakh for immediate action. A nearby competitor is offering 15% off on gift boxes and has begun telling customers that big shops cut corners. The shop's regular customers are largely families who buy gift boxes and loose sweets; 40% of sales come from advance orders, many placed by phone. The owner must decide how to respond without appearing defensive or escalating the rumour.
1. Identify the micro and macro environmental forces acting on the shop. Then explain how perceived risk and word-of-mouth are shaping customer behaviour in this situation.
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Micro forces: customers (families buying gift boxes), competitors (the 15%-discount shop), suppliers of khoya and other inputs, employees who face customer questions, and publics such as the food-safety team and local WhatsApp groups. Macro forces: legal/regulatory (food-safety inspection), technological (rapid spread of a voice note), cultural (Diwali gifting and trust in local sweet shops), and economic (households comparing discounts).
Consumer behaviour: The rumour raises perceived risk - mainly health risk and social risk, because a gift box that is unsafe or embarrassing damages the buyer's reputation. Families buying gifts are more risk-averse than walk-in buyers of loose sweets. They respond by seeking information from neighbours and WhatsApp, not from the shop, which explains the 35% footfall drop even though no violation was found. Word-of-mouth is negative and fast, and the competitor's discount gives customers a reason to switch. The 40% advance orders are especially vulnerable because those buyers can cancel by phone before visiting. The owner must reduce perceived risk with proof and personal reassurance, not merely with price.
2. Should the owner match the competitor's 15% discount? Justify using consumer behaviour concepts, and propose two alternative actions.
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A blanket 15% discount is not the first response. The problem is perceived risk about safety, not price. A sudden discount can be read as an admission that something is wrong, and it erodes margin on the 60% of annual profit earned in Diwali week. It also teaches customers to wait for discounts. The competitor's offer is exploiting anxiety, but matching it does not remove the anxiety.
Two better actions: (1) Risk reduction through transparency - display the food-safety report, invite regular customers to inspect the kitchen, and publish a short video of the khoya testing and preparation process. This addresses health risk directly. (2) Targeted reassurance for advance-order customers - call each one personally, offer a money-back assurance on gift boxes, and add a small free sweet with advance orders rather than cutting the price. If a discount is used at all, ring-fence it to gift boxes for a short period and do not discount loose sweets, so the shop does not reset its reference price.
3. Prepare a 7-day action plan with the ₹1.5 lakh budget. Include at least three actions, expected outcomes, and one metric.
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Day 1 (₹15,000): Post the lab report and a short owner video on the shop's WhatsApp status, local Facebook group, and at the counter. Expected outcome: give customers factual proof before the weekend rush.
Days 2–3 (₹20,000): Invite 50 regular gift-box customers to an open kitchen session; show khoya samples and answer questions. Expected outcome: convert worried regulars into vocal supporters who counter the rumour.
Days 3–5 (₹40,000): Add a free 100g sweet pack to every gift box above ₹500 and to all advance orders; use a printed slip explaining the free pack is for Diwali goodwill, not a price cut. Expected outcome: protect gift-box volume without lowering the displayed price.
Days 5–6 (₹25,000): Make a visible hygiene upgrade - new covered display, staff caps and gloves, cleaning log at the counter. Expected outcome: give walk-in customers a visible reason to trust the shop.
Days 6–7 (₹10,000): Staff overtime for follow-up calls to all pending advance orders. Reserve ₹40,000 for a second lab test or a local newspaper clarification if the rumour persists.
Metric: footfall at the main shop should recover to at least 85% of the normal Diwali-week level by Day 7, with no more than 10% cancellation of advance orders.