nipyata.com
Nipyata.com is an online platform that offers an assortment of unique piñatas filled with miniature liquor bottles. These festive piñatas come in various shapes, making them perfect for parties and celebrations. Customers can purchase these pre-filled piñatas and enjoy a fun and boozy surprise.
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nipyata.com's revenueOVER TIME
Over the past three months, nipyata.com revenue has experienced growth of 77%, compared to the preceding three months.
nipyata.com competitors
In May 2025, nipyata.com outperformed its competitors in terms of revenue, with a total revenue of $33,859. This exceeded worldwidebev.com ($33,078), givethembeer.com ($31,652), pinatas.com ($19,918), and grainvine.com ($160,054). nipyata.com also had a higher number of transactions (366) compared to worldwidebev.com (190), givethembeer.com (185), pinatas.com (225), and grainvine.com (550). Additionally, nipyata.com had a substantial number of sessions (9,105) similar to givethembeer.com (9,607) and pinatas.com (10,563), but less than grainvine.com (24,410). The Average Order Value (AOV) for nipyata.com ranged from $75 to $100, while competitors such as worldwidebev.com, givethembeer.com, and pinatas.com had AOVs between $150 and $175. However, nipyata.com's conversion rate (4.00% to 4.50%) surpassed givethembeer.com (1.50% to 2.00%) and pinatas.com (2.00% to 2.50%), but fell below worldwidebev.com (3.00% to 3.50%) and grainvine.com (2.00% to 2.50%).
Revenue share by device at nipyata.com
In May large majority of sales on nipyata.com, 56% was finalized on desktop devices, with 44% of sales coming from mobile devices.
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nipyata.com channels
Identify top traffic channels that drive growth for nipyata.comand discover how performance of traffic channels has changed over time.
nipyata.com Google Ads spend
Evaluate nipyata.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
nipyata.com devices
Review nipyata.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
