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Why Do Customers Switch Brands — and How Can They Be Won Back?
India Tractor Market – Lost Case Analysis
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Objective
The objective was to determine the reasons why prospective tractor buyers considered a particular brand but ultimately opted for a competing brand. The study mainly focused on the precise points at which potential customers were lost, including pricing, product performance, dealer interaction, after-sales service, financing, resale value, purchase journeys, discount expectations, and competitive switching behavior.
Business Challenge
The major challenge was the conversion gap between brand consideration and actual purchase. The business required to differentiate between awareness problems and genuine conversion restrictions and determine which interventions would have the maximum effect on lost-sales recovery. • Customers who are actively switching to competitors based on price differences, dealer occurrence, product-performance perceptions, service concerns and resale expectations.
How We Did It
A comprehensive lost-case survey was conducted through Gujarat and Uttar Pradesh. Purchase journeys, competitive consideration, price perceptions, dealer interaction, financing, product performance, service and future purchase intent were studied. Voice-of-Customer responses and purchase-funnel analysis were incorporated, accompanied by Switching Tree Analysis to understand the competitive switching pathways. Data was collected within structured primary research, stored in SQL, and analyzed using Python for statistical analysis, segmentation and switching analysis. Also, Power BI was used to develop the competitive and lost-case dashboards.
Key Findings
• Price was a major reason for lost sales.• Competitor products were frequently perceived as significantly cheaper.• Dealer interaction and after-sales service created substantial purchase friction.• Product-performance perceptions were mixed.• Fuel efficiency was viewed positively, while concerns existed around certain performance and reliability attributes.• Financing was generally viewed positively but was insufficient to overcome other purchase barriers.• Resale value and local recommendations also influenced switching.
Findings
The study showed that the problem was not simply low knowledge. Customers reached the consideration stage but were lost during cost negotiation, dealer interaction, product evaluation and final value assessment. Switching behaviour is strengthened via recommendations from local customers and competitor discounts, while dealer responsiveness and after-sales service impacted faith. The research therefore identified several intervention points across costing, product, sales and service rather than treating lost sales as a single issue.
Business Impact
The prices of competitors’ tractors range between ₹50,000 and more than ₹1 lakh less than our tractors, which clearly shows the price difference. The dealer contact, service experience, and product perceptions were among the barriers for conversions. All these findings were used for pricing, discount schemes, improving dealer efficiency, enhancing service quality, and product design, giving a concrete means for increasing the sales lost due to poor conversions and customer retention.
Primary Research
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CXO Interviews
Direct conversations with CXOs and senior industry leaders to uncover insights, priorities, and market perspectives.
Proprietary Intelligence
03
Forecasting
Proprietary forecasting models that support market sizing, scenario planning, and forward-looking strategic analysis.
Market Intelligence
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Trade & GTM
Trade and export-potential intelligence supporting market entry, corridor analysis, and go-to-market strategy decisions.
We run a 13-stage engagement that starts with market research and ends with partner and distributor development. In between, that covers customer behavior, brand and sales strategy, data analytics, corporate strategy, risk, sustainability and implementation — the full sequence is laid out in the Services Cluster above.
›Can we engage 6W Strategy for a single stage instead of the full cluster?
Yes — each of the 13 stages can be commissioned on its own or as part of the full cluster, whichever fits where you are right now.
›What analytical models does 6W Strategy use?
We draw on 28 models across 8 categories. The ones we reach for most are Conjoint Analysis, MaxDiff, TAM-SAM-SOM modeling, Porter's Five Forces, the Kano Model and K-Means Clustering — the full library is in the Analytical Models panel.
›What data sources back up 6W Strategy's research?
A mix of primary interviews through our 6WForum expert panel, qualitative and quantitative surveys, shipment-level trade data, retail audit data, and our own proprietary databases.
›Which industries does 6W Strategy work across?
Thirteen so far, including Aerospace & Defense, Automotive, Telecom, Healthcare and Pharmaceuticals. The full list is in the Industries strip above — and we're happy to discuss others even without a published case study yet.
›What proprietary platforms does 6W Strategy use?
6WForum for expert insights, 6WSurveyIQ for research and consumer intelligence, 6WForecastIQ for forecasting, and 6WExportGTM for trade and export intelligence — each one is in the Our Platforms panel.
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6Wresearch, branded as 6W, is a commercial strategy and growth advisory firm founded in 2011 and headquartered in New Delhi, India, with partners across Southeast Asia and the Middle East & Africa. The firm has delivered more than 20,000 commercial engagements for over 2,000 organizations, including Fortune 500 companies, government agencies, and multilateral institutions such as the World Bank and Asian Development Bank. 6Wresearch combines proprietary intelligence, advanced analytics, and sector expertise to help organizations navigate market complexity and drive sustainable growth.