sp-connect.de
SP Connect | Schnelle und sichere Smartphone Montage für iPhone, Samsung und andere, mit dem Multi Activity Bundle, Bike Bundle, Car Bundle, Fitness Bundle
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sp-connect.de Annual Revenue and Growth
sp-connect.de's annual sales on its online store amounted to $8.1M in 2025, up 20-50% from the previous year. For 2026, revenue is expected to grow by 5-10%. The trend is expected to moderate.
sp-connect.de's monthly revenueOVER TIME
Over the past three months, sp-connect.de revenue has experienced growth of 174%, compared to the preceding three months.
sp-connect.de competitors
In May 2026, sp-connect.de generated $1,191,564 in revenue with 7,916 transactions and a conversion rate of 3.00-3.50%. Its average order value (AOV) was notably higher than that of its competitors. casetify.com, despite achieving a staggering $19,493,237 in revenue, had a lower conversion rate of 2.00-2.50% and an AOV of $100-125. Similarly, bellroy.com reported $10,355,571 in revenue with a 2.50-3.00% conversion rate and an AOV of $125-150. On the other hand, handyhuellen.de, with a revenue of $1,246,047, boasted the highest conversion rate at 5.50-6.00% but had a much lower AOV of $50-75. In contrast, huellendirekt.de and aukey.com lagged significantly in revenue, with $125,824 and $36,633 respectively, and both had lower conversion rates, making sp-connect.de a competitive player in the market.
Revenue share by device at sp-connect.de
In May large majority of sales on sp-connect.de, 55% was finalized on desktop devices, with 45% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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sp-connect.de channels
Identify top traffic channels that drive growth for sp-connect.deand discover how performance of traffic channels has changed over time.
sp-connect.de Google Ads spend
Evaluate sp-connect.de's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
sp-connect.de devices
Review sp-connect.de's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
