at-home.co.in
At-home.co.in is an online platform that offers a range of home furnishings, decor, and furniture products for sale. Their inventory includes various items like sofas, beds, dining tables, curtains, rugs, and lighting fixtures. The website allows customers to conveniently purchase home-related products and have them delivered to their doorstep.
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at-home.co.in Annual Revenue and Growth
at-home.co.in's annual sales on its online store amounted to $1.6M in 2024, up 20-50% from the previous year. For 2025, revenue is expected to decline by 50%+. This would mark a reversal from last year's growth.
at-home.co.in's monthly revenueOVER TIME
Over the past three months, at-home.co.in revenue has experienced decline of 49%, compared to the preceding three months.
at-home.co.in competitors
When comparing at-home.co.in to its competitors in November 2025, at-home.co.in falls in the mid-range for revenue with $8,654, behind major players like ikea.com with $813,186,649 and pepperfry.com with $5,955,595. In terms of transactions, at-home.co.in has 32 transactions, while overstock.com leads with 131,317 transactions. Sessions-wise, at-home.co.in has 3,137 sessions, whereas athome.com has 9,585,059 sessions. The average order value (AOV) for at-home.co.in falls within the range of $250-275, which is on par with competitors like pepperfry.com. Conversion rates for at-home.co.in fall between 1.00-1.50%, similar to ikea.com. Overall, at-home.co.in is holding its own in the competitive online furniture market, but it still has room for growth to reach the level of its larger competitors.
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at-home.co.in channels
Identify top traffic channels that drive growth for at-home.co.inand discover how performance of traffic channels has changed over time.
at-home.co.in Google Ads spend
Evaluate at-home.co.in's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
at-home.co.in devices
Review at-home.co.in's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
