cakeparkcity.com
cake | expertly curated womens contemporary apparel and beauty in park city, utah, featuring rag & bone, vince, iro, citizens of humanity, nsf, vintners daughter, dr. barbara sturm, rms, supergoop!, by terry and more
GRIPS CUSTOMERS & RESEARCH PARTNERS
cakeparkcity.com Annual Revenue and Growth
cakeparkcity.com's annual sales on its online store amounted to $414.1K in 2025, up 5-10% from the previous year. For 2026, revenue is expected to decline by 20-50%. This would mark a reversal from last year's growth.
cakeparkcity.com's monthly revenueOVER TIME
Over the past three months, cakeparkcity.com revenue has experienced decline of 16%, compared to the preceding three months.
cakeparkcity.com competitors
When comparing cakeparkcity.com to its competitors as of January 2026, we see that cakeparkcity.com had a revenue of $24,115 with 105 transactions and 4,186 sessions. Its average order value (AOV) was between $225-$250, and its conversion rate ranged from 2.50%-3.00%. In contrast, aninebing.com had a revenue of $1,593,984 with 3,823 transactions and 346,422 sessions. Its AOV was between $400-$425, and its conversion rate ranged from 1.00%-1.50%. rag-bone.com had a revenue of $3,893,380 with 11,371 transactions and 1,093,509 sessions. Its AOV was between $325-$350, and its conversion rate ranged from 1.00%-1.50%. cakeparkcity.com's competitors like blondgenius.com, shopthealcove.com, and alcltd.com had varying metrics in terms of revenue, transactions, sessions, AOV, and conversion rates, showcasing the diverse landscape of the online retail industry.
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cakeparkcity.com channels
Identify top traffic channels that drive growth for cakeparkcity.comand discover how performance of traffic channels has changed over time.
cakeparkcity.com Google Ads spend
Evaluate cakeparkcity.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.
cakeparkcity.com devices
Review cakeparkcity.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
