SellerApp is a commerce intelligence company, founded in 2017 by Dilip Vamanan and Brij Purohit, that helps sellers, mid-market and enterprise brands, and agencies grow profitably across marketplaces.
It supports Amazon, Walmart, and Instacart in North America, Flipkart and quick commerce including Blinkit, Zepto, Instamart, and BigBasket in India, and Lazada and Shopee across Southeast Asia, with a footprint that also reaches Europe, the Middle East, ANZ, and the wider Indian Subcontinent, served from offices in Singapore, the US, and India.
AMC, Marketing Stream, and DSP access most competitors cannot reach, a decade of marketplace expertise, and one shared data layer power SellerApp's Marketplace Intelligence Dashboard, managed services, agency solution, marketplace APIs, and Ads intelligence, so sellers, mid-market and enterprise brands, and agencies read contribution margin, not impressions, instead of working across disconnected tools and a spreadsheet.
For sellers and mid-market to enterprise brands, a campaign can hit its ACoS target and still lose money once referral fees, storage costs, and returns are counted, which is why TACoS, P&L, and contribution-margin analytics sit next to the ad metrics inside the dashboard, not in a separate spreadsheet.
Campaign Manager, Dayparting, AI and rule-based automation, and multi-action workflows replace the manual bidding, budget decisions, and ineffective targets that drain hours and leak spend on low-converting hours, while Marketing Stream, Marketing Cloud (AMC), and DSP add Amazon's own ad data to that bidding logic.
Before a single ad runs, product research and a proprietary Opportunity Score weigh demand, competition, profit margins, revenue potential, overhead costs, and product innovation scope to flag which products are worth launching at all, with ongoing tracking that resurfaces new opportunities as market conditions shift rather than judging a product once and moving on.
Once a listing is live, listing optimization tracks the metrics that matter to Amazon's A9 ranking algorithm, with listing quality alerts that flag the moment a competitor's listing changes, so a brand can react before losing the page-one spot it worked to earn. Keyword research draws on a repository of over 500 million keywords for search volume, competition, and cost data, and reverse ASIN tracking shows which keywords are driving a competitor's sales, including ones a brand should be using but is not.
Category and competitive intelligence, plus product research across 500M+ ASINs, show where a brand actually stands against the market, portfolio analytics and page view and session data show where traffic is actually converting, and business alerts flag BSR changes, price moves, Buy Box loss, low inventory, and listing hijacking before they become a bigger problem. New product development, inventory forecasting, and refund recovery round out execution, and a Chrome Web Store extension plus 24/7 support sit alongside the dashboard itself.
For brands that want execution support, managed services run the funnel end to end, advertising, listings, new product development, and marketplace performance optimization, built to carry a brand through the $100K to $1M+ scaling motion without it having to build an in-house team. Portfolio consultation and PPC rule design are part of that, not a separate add-on.
For agencies managing many client accounts, the agency solution gives white-label dashboards and multi-account management, so client volume can grow without growing headcount, and clients see SellerApp's reporting under the agency's own brand.
For developers and data teams, marketplace APIs offer data access, MCP, and AI, backed by a year of sales and advertising history kept in cold storage for whenever a deeper look back is needed, feeding analytics-ready data into existing BI systems instead of requiring a manual export.
SellerApp's edge is proprietary technology paired with a decade of human expertise in marketplace ad management and global expansion. It has managed $3B in ad revenue across 33,000+ brands, through software, managed services, APIs, and expert-led execution, not software alone.
SellerApp has already closed that ACoS-to-margin gap for 33,000+ brands. Book a demo to see it on yours.
Registered name SELLMETRIC PTE. LTD. Brand name SellerApp.
Average Rating: 4.7/5.0
Total Reviews: 53
How Do G2 Users Rate SellerApp?
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Quality of Support: 9.5/10 (Category avg: 9.1/10)
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Export: 9.1/10 (Category avg: 8.7/10)
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Marketplaces: 9.3/10 (Category avg: 8.9/10)
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What is your organization's estimated ROI on the product (payback period in months)?: 7.0/10 (Category avg: 10/10)
Who Is the Company Behind SellerApp?
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Seller: SellerApp
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Year Founded: 2016
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HQ Location: Singapore, Singapore
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Twitter: @SellerApp_Inc
2,216 Twitter followers
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LinkedIn® Page: www.linkedin.com
93 employees on LinkedIn®
Who Uses This Product?
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Top Industries: Marketing and Advertising, Consumer Goods
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Company Size: 64% Small, 42% Large
What Do G2 Reviewers Say About SellerApp?
AI-generated summary from verified user reviews
Pros
- Users appreciate the market intelligence tool of SellerApp for identifying high-demand, low-competition opportunities efficiently.
- Users value the automation of inventory tracking and PPC management that SellerApp provides, significantly enhancing their business efficiency.
- Users recognize the exceptional efficiency of SellerApp, enabling strategic pricing and reliable data for better decision-making.
- Users praise the insightful results from SellerApp, significantly boosting conversions and campaign efficiency through data-driven strategies.
- Users value the exceptional data accuracy of SellerApp, enhancing their inventory management and decision-making processes.
Cons
- Users experience slow performance with loading and reporting, occasionally impacting their overall satisfaction with SellerApp.
- Users find the dashboard difficult to navigate, requiring time to become comfortable with its layout and features.
- Users find the difficult learning curve of SellerApp challenging, needing time to adapt and trust its features.
- Users find the amount of data overwhelming initially, especially for those unfamiliar with ad metrics beyond ACOS.
- Users find the interface outdated and clunky, leading to a slower and less enjoyable experience.
