
Dashboardly is the #1 TikTok Shop Profit & Inventory Analytics platform, purpose-built for sellers and agencies. It empowers businesses to gain crystal-clear visibility into their real profits, prevent costly stockouts, and optimize ad spend for maximum ROI, driving profitable growth on TikTok Shop.
Ideal for TikTok Shop sellers and agencies of all sizes, Dashboardly solves critical challenges like understanding true net margins after all fees, ads, shipping, and COGS. It enables proactive inventory management to avoid stockouts during peak demand and provides SKU-level insights to eliminate wasted ad spend. Users can manage multiple shops and collaborate with teams, ensuring data-driven decisions across their entire TikTok commerce operation.
Dashboardly offers flexible, tiered pricing with monthly and yearly options (saving 20% annually). Plans start from $29/month for Starter, with soft order limits, fair overage fees, and a monthly CAP for predictable costs. A 14-day free trial is available, requiring a card at signup but charging only after the trial ends.
Designed for ease of use, Dashboardly offers a simple, step-by-step setup to connect your TikTok Shop and unlock insights quickly. The platform provides an intuitive dashboard for instant clarity. Support ranges from email assistance for Starter plans to 24/7 priority support and onboarding for Enterprise users, ensuring comprehensive help is available.
Built exclusively for TikTok Shop, Dashboardly provides verified profit accuracy with exportable calculations. It ensures speed at scale with faster data refresh rates and enterprise-grade security. The platform securely integrates with TikTok Shop and TikTok Ads to automatically sync sales, orders, and inventory data.
Dashboardly is the essential tool for TikTok Shop sellers and agencies seeking to maximize profits and streamline operations through accurate, real-time data. It simplifies complex analytics, enabling smarter decisions for sustainable growth. Get started free today to transform your TikTok Shop performance.
Yaroslav Lugovatskyi