USA
EMAIL
PHONE
E-commerce data for home appliances data
Refrigerators, washing machines, AC, microwaves, dishwashers, water purifiers — high-AOV appliances need rich attribute, pricing, and EMI data tracking across major retailers.
Structured home appliances data, ready for your team.
Appliance specs
Capacity, energy rating, technology (inverter, frost-free).
Pricing
List price, sale price, EMI options, no-cost EMI tenures.
Energy efficiency
Star rating (1-5), annual energy consumption, ISEER.
Warranty data
Standard warranty, extended warranty options.
Installation
Free installation availability per pincode.
Exchange offers
Old-for-new exchange value by brand and model.
Bank offers
Credit card discounts, cashback per card type.
Reviews & ratings
Star ratings, review counts, sentiment by feature.
Stock status
In-stock, out-of-stock per retailer and pincode.
Signals driving demand for home appliances data.
High-AOV category
Average order value ₹40K-1L. Pricing decisions are big-margin moves.
EMI is the lever
70% of appliance buyers use EMI. No-cost EMI offers drive conversion.
Star ratings drive choice
Energy efficiency is decisive — 5-star sells 2x faster than 3-star.
Installation = retention
Free installation availability is a key buying factor in tier-2/3 cities.
What teams do with home appliances data.
Appliance brand monitoring
Track your SKUs across Amazon, Croma, Reliance, Vijay Sales.
EMI offer competitive intel
Match competitor no-cost EMI promotions.
Star-rating positioning
Compare energy efficiency claims with competitors.
Exchange value analytics
Optimise old-for-new exchange pricing strategy.
Festive season pricing
Diwali/Black Friday appliance discount tracking.
Bank offer monitoring
Track which card programs your competitors use.
Distributor compliance
Verify MRP compliance across authorised retailers.
Service network gap analysis
Spot pincode-level service availability issues.
New model launch tracking
Monitor competitor new launches and feature claims.
From request to first dataset in 24 hours.
Define scope
Categories, retailers, refresh frequency.
Free sample
Sample dataset within 24 hours.
Production pipeline
Refresh at your chosen cadence.
Iterate & scale
Expand coverage as needs grow.
FAQs
Amazon, Flipkart, Croma, Reliance Digital, Vijay Sales, Sangeetha, Best Buy, Walmart, Currys, Argos. 40+ globally.
Yes — list of available EMI options, tenures, no-cost EMI flag, processing fees where exposed.
Yes — for retailers exposing pincode-level service availability.
Yes — old-for-new exchange values by brand and model.
Yes — Big Billion Days, Great Indian Sale, Black Friday pricing snapshots with timeline.