Crowdbooster
Crowdbooster transformed raw social media data into actionable recommendations, helping marketers optimize posting schedules and content strategy on Twitter and Facebook without needing deep analytical expertise.
Last updated Jun 3, 2026 by ATDb automated enrichment
- Industry
- Social Media Analytics
- Business Model
- SaaS
- Target Market
- SMB
- Employee Count
- 1-10
- Funding
- $1.1M
- API Available
- No
Niche social media analytics tool for SMBs and independent marketers, positioned below enterprise platforms but above basic free tools
Crowdbooster was a San Francisco-based social media analytics and optimization platform founded around 2010. The platform focused on helping businesses, marketers, and social media managers improve their performance on Twitter and Facebook by analyzing engagement data and surfacing actionable insights. Its core value was translating raw social metrics into concrete recommendations — such as the best times to post, which content resonated most with audiences, and how follower growth was trending over time. The platform distinguished itself from broader social media management tools by emphasizing intelligent, data-driven guidance rather than simply dashboarding raw numbers. Crowdbooster offered features like optimal posting time suggestions, reach and impression tracking, follower analytics, and engagement scoring. It was particularly popular among small to mid-sized businesses and independent marketers who wanted sophisticated analytics without the complexity or cost of enterprise-grade tools. Crowdbooster operated during a period of intense growth and competition in the social media management space, competing with tools like Hootsuite, Buffer, and Sprout Social. The platform ultimately struggled to scale and differentiate in an increasingly crowded market. It ceased operations and shut down its service, with the website eventually going dark. Crowdbooster's story reflects the broader consolidation that occurred in the social media analytics space during the mid-2010s, as well-funded competitors absorbed market share and smaller specialized tools found it difficult to sustain standalone businesses.
Twitter Analytics
Tracked tweet performance, engagement rates, reach, and follower growth with actionable optimization suggestions
Facebook Analytics
Monitored Facebook page performance including post reach, likes, and audience engagement trends
Optimal Posting Time Recommendations
Algorithmically determined the best times for a user to post based on their historical audience engagement patterns
Follower & Audience Insights
Provided data on follower growth, influential followers, and audience demographics
- 2010Founded
- —Defunct