MikMak, a SPINS company, is a global software company that provides a leading commerce intelligence and orchestration platform for multichannel brands, helping them grow in real-time.
In January of 2026, MikMak was acquired by SPINS, bringing together two category leaders in commerce intelligence and best-in-class data and insights. The combined entity provides brands with an unrivaled, unified view of availability, point-of-sale performance, and consumer behavior, globally and in real-time.
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Code-Cube.io is a comprehensive marketing observability solution that ensures the accuracy and reliability of tracking data across digital platforms. It continuously monitors tags, dataLayers, and conversion events to detect issues the moment they occur. By providing real-time alerts, the platform allows teams to quickly respond to tracking failures before they affect campaign performance or reporting accuracy. Its automated auditing capabilities remove the need for time-consuming manual QA processes, saving valuable resources. With features like Tag Monitor, users can oversee tag behavior across both client-side and server-side environments with full transparency. DataLayer Guard further strengthens data integrity by validating events, parameters, and values in real time. The platform helps businesses avoid wasted ad spend caused by incorrect or incomplete data signals. It also supports multi-domain tracking, ensuring consistency across complex digital ecosystems. Code-Cube.io is trusted by global brands to maintain high-quality marketing data at scale. Ultimately, it enables organizations to optimize performance and make confident, data-driven decisions.
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Charm.io
Use Charm to uncover and analyze 4 million ecommerce brands globally. Access deep ecommerce insights for lead generation, merchandising, and sourcing.
With Charm, you can:
-Build a high-quality pipeline of ecommerce brands & TikTok Shops: Identify and connect with ecommerce brands and TikTok Shops that meet your criteria. Filter leads based on key indicators like the Charm Growth Score™, Charm Success Score™, ad activity, technology stack, marketplace presence, social media engagement, and more.
-Find emerging brands to feature in your retail business: Spot rising brands gaining traction online and on TikTok Shop. Narrow your search by product category to discover brands that align with your store’s needs, enabling data-driven merchandising choices.
-Access in-depth insights to evaluate potential investments: Charm’s Growth Score™ has helped identify breakout brands before they became widely recognized. Leverage advanced analytics to pinpoint promising businesses and make informed sourcing and investment decisions.
Charm.io utilizes proprietary AI models to identify, analyze and score every ecommerce brand online. Use over 70+ filters and helps you find lists of brands within your ideal customer profile.
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XPLN Suite
The software suite XPLN is one of the leading solutions for collecting current market data, e-commerce price optimization and comprehensive services in the field of Digital Shelf Analytics. A strong focus on technology, innovation and proximity to the customer enable us to deliver higher quality data to our customers and help them grow their business through valuable insights and confident decisions about offers and positioning. Many well-known retailers and brands trust in us.
XPLN allows enterprises to import product or pricing data and automatically collect market prices from multiple online sources. Administrators can use the dashboard to track online ratings, stock levels, prices, marketplace ranking, and other metrics on a centralized platform. It also lets the clients define product repricing strategies based on configured rules, utilize the price monitoring engine to determine required changes, and manually or automatically adjust prices in the database.
XPLN further enables organizations to analyze competitors' product ranges or catalogs for available colors, sizes, variants, or prices. Brand manufacturers can detect unauthorized sellers and determine differences between RRP and selling prices.
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