Heap

"Analyzes user behavior, improving digital strategies."

This company tracks and analyzes user interactions on websites and apps. It leverages this data to help businesses understand user behavior, improve customer experiences, and optimize marketing strategies.
Similar Vendors
Primary Vertical
eCommerce Friction Resolutions
DIGITAL EXPERIENCE ANALYTICS
USER BEHAVIOR UNDERSTANDING
AUTOMATIC EVENT TRACKING
SESSION REPLAY
HEATMAPS
AI-POWERED ANALYTICS
DATA SCIENCE INSIGHTS
PRODUCT LED GROWTH

BlurbSTAR Case Study
Gem & Heap
Heap helps Gem reduce insight time by 10x during COVID.
10x
Faster insight time
45%
Activity change tracked
This profile remains unclaimed. Blurbs can only offer a partial, unverified case study.
1.
Situation
COVID-19 Impact on Hiring Patterns
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Pandemic caused global business closures.
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Unemployment and hiring freezes surged.
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Gem sought to reevaluate hiring strategies.
During the coronavirus pandemic, businesses worldwide have closed operations, leading to elevated unemployment rates and widespread hiring freezes across industries. This unprecedented situation prompted companies to reassess their hiring strategies and adapt to the changing market conditions. Gem, a predictive analytics company aiding HR teams, noticed fluctuations in user activity when the pandemic hit, spotlighting the need for rapid insights into evolving hiring patterns. By understanding these shifts, Gem aimed to help HR teams strategically navigate the challenges posed by the pandemic.
2.
Task
Monitoring Changes with Behavioral Data
โ†’
Monitor hiring activity changes.
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Identify potential churn risks.
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Adjust strategies and set expectations.
Gemโ€™s task was to effectively monitor and understand the changes in hiring activities using real-time behavioral data during the pandemic. As many businesses faced uncertain futures, Gem needed to provide its clients with insights into how hiring patterns were shifting. These insights would allow Gem to identify potential churn risks among its customer base, set realistic business expectations, and adjust strategies accordingly. Gathering this information was crucial for supporting HR teams in overcoming challenges and making informed decisions during a time of significant uncertainty.
3.
Action
Utilizing Heap for Swift Insights
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Implemented Heap analytics platform.
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Leveraged dashboards for quick insights.
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Tracked changes in user activities.
Gem implemented Heap, a robust analytics platform, to gain rapid insights into customer behavior amid COVID-19. By leveraging Heap's capabilities, Gem could quickly analyze and visualize changes in product usage through intuitive dashboards and charts. This enabled the company to track metrics such as session counts, sent messages, and content sharing frequency. The ability to visualize trends with ease meant Gem could swiftly understand the evolving employment landscape, which was vital for supporting HR teams and aligning internal expectations with market realities during the crisis.
4.
Result
Significant Insights and Adaptation Outcomes
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Time to insight reduced by 10x.
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HR teams adapted effectively.
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Churn risks were mitigated.
By using Heap, Gem successfully reduced its time to insight by 10x, allowing for quicker response and adaptation to changing hiring dynamics during the pandemic. This acceleration enabled HR teams to proactively address emerging trends and maintain efficient talent acquisition processes despite adverse conditions. The rapid insights supported Gem in mitigating churn risks by keeping their customers informed and adaptable, ultimately helping businesses optimize their recruitment strategies in a rapidly shifting environment.
Keywords
HEAP ANALYTICS
PREDICTIVE ANALYTICS
BEHAVIORAL DATA
TIME TO INSIGHT
COVID-19 HIRING PATTERNS
HR TECHNOLOGY
USER ENGAGEMENT
GEM INSIGHTS
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