bikiniaddiction.com
sexy classy bikinis for women. bikinis for all women who love to wear multiple bikinis on vacation or holiday. get addicted to our bright colors and sexy styles.
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bikiniaddiction.com's monthly revenueOVER TIME
Over the past three months, bikiniaddiction.com revenue has experienced decline of 41%, compared to the preceding three months.
bikiniaddiction.com competitors
In November 2025, bikiniaddiction.com outperformed its competitors in terms of revenue, with a total of $5,525 compared to shopveranera.com's $3,315, addictionnouvellelingerie.com's $918, and heymavens.com's $7,110. bikiniaddiction.com also had the highest number of transactions at 84, followed by heymavens.com with 52, shopveranera.com with 16, and addictionnouvellelingerie.com with 5. In terms of sessions, bikiniaddiction.com had 2,164, falling behind heymavens.com with 2,073 but surpassing shopveranera.com with 1,081 and addictionnouvellelingerie.com with 351. The average order value (AOV) for bikiniaddiction.com ranged between $50-75, which was lower than shopveranera.com's $200-225, addictionnouvellelingerie.com's $175-200, and heymavens.com's $125-150. However, bikiniaddiction.com had the highest conversion rate at 3.50-4.00%, compared to shopveranera.com and addictionnouvellelingerie.com at 1.00-1.50%, and heymavens.com at 2.50-3.00%.
Revenue share by device at bikiniaddiction.com
In November large majority of sales on bikiniaddiction.com, 74% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 26% of sales coming from desktop devices.
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bikiniaddiction.com channels
Identify top traffic channels that drive growth for bikiniaddiction.comand discover how performance of traffic channels has changed over time.
bikiniaddiction.com Google Ads spend
Evaluate bikiniaddiction.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.
bikiniaddiction.com devices
Review bikiniaddiction.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
