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Syncly

AI to auto-analyze all your customer communications

We help CX and the product team to get product insights and help proactively engage with their customers before they churn by auto-analyzing all the customer communications. Our team previously founded and sold a $200M AI technology startup.
Syncly
Founded:2022
Team Size:9
Status:
Active
Location:San Francisco
Group Partner:Gustaf Alstromer
Active Founders

Joseph Lee, Founder

CEO @ Syncly (W23) | HBS '21
Joseph Lee
Joseph Lee
Syncly

Jongsoo Keum, Founder

Jongsoo Keum
Jongsoo Keum
Syncly

Kwan Yoon, Founder

Kwan Yoon
Kwan Yoon
Syncly
Company Launches
Syncly Social - AI social listening platform for modern brands
See original launch post ›

Introducing Syncly Social - AI social listening platform for modern brands. We aggregate reviews, posts, and conversations from socials and e-commerce (Amazon, Instagram, Reddit, retailer-specific reviews, and many more) for market, competitor, and consumer intelligence, and provide actionable insights, faster and more accurate than ever.

Challenges of Social listening platform 1.0

High volume of Noise data: Legacy platforms rely on simple keyword queries to gather data. The problems are:

  • Time-consuming: Takes up to a couple of months to setup, repetitively.
  • Less than 10% data is relevant: For example, product names or sub-brands with generic or common imagery (like Discover and United) can lead to irrelevant content being collected.

Lack of Granularity in Analysis:

  • Let’s say "picture quality" may be frequently mentioned for mobile brand. So what? To translate that into specific product or marketing insights, the insight should be more granular, but what you can get from legacy platform is the summary, at most, like “People generally praise the picture quality on Samsung phones, particularly on their high-end models.”

One-Dimensional Sentiment Analysis: Traditional sentiment analysis often fails to capture the full context, especially when posts contain mixed emotions.

  • For example, a review that says, "It’s not as bright as {product name}" might seem negative, but since {product name} is a brand’s another product, it isn’t necessarily a critique of the brand as a whole. This inaccuracy complicates efforts to identify precise product improvements or refine marketing messages.

Why we need Social listening platform 2.0 - Syncly social

  • ⚡️ 90% Faster Setup: Forget tedious keyword lists of what to include and exclude that often take up to a couple of months🤯. Syncly's AI automatically filters irrelevant chatter.
  • 🎯 Hyper-Targeted Insights: Brands went beyond basic sentiment to identify specific product issues and opportunities.
  • 😊 Nuanced Sentiment Analysis: Syncly pinpointed exactly which features customers loved (or hated) with aspect-based analysis.
  • 🌎 Language Agnostic Brand Tracking: Global consumer brands, like LG Electronics, could track brand mentions in different languages without needing to translate keywords.

Impact

Insights that once took months now surface in just days, enabling your brand to refine products, optimize marketing, and stay ahead of competitors, fast.

Learn more use case

If you’re interested in learning more use cases how Modern brands achieve competitive advantage through social listening, schedule a demo with me.

Other Company Launches

Syncly - Get product insights from everyday customer communication for fast-growing companies

Bringing AI to help CX and Product team to understand customer issues before they churn.
Read Launch ›

🚀 Syncly — AI customer feedback analytics that drives retention

Syncly enables Revenue teams to better understand customer insights to drive retention and team productivity.
Read Launch ›