Sift’s Journey to Data-Driven Growth with Adasight

Here’s how we helped Sift unlock clarity and drive measurable growth:

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1. Building the Right InfrastructureWe began by implementing Amplitude and integrating it with their existing data sources. By establishing clean, scalable event tracking, we ensured their team had accurate, trustworthy data at every stage of the user journey.
2. Simplifying Data for Actionable InsightsWe collaborated with Sift’s team to structure dashboards and reports aligned with their goals. By focusing on high-value metrics—like activation, retention, and feature engagement—we turned data chaos into clear stories.
3. Driving Results Through Targeted Optimizations- We uncovered key drop-off points during onboarding and worked with their product team to streamline the user experience, leading to a measurable lift in activation.- By analyzing feature usage patterns, we identified retention-driving functionality, empowering them to prioritize enhancements that matter most.
4. Empowering the Team with Self-SufficiencyRather than simply handing over the tools, we trained their team to interpret and leverage the data effectively. Sift didn’t just get answers—they learned how to ask better questions.

Sift approached Adasight facing common challenges among product teams:

• Disconnected tools: Their analytics stack lacked reliability.
• Data overwhelm: Excessive tracking without actionable outcomes.
• Growth bottlenecks: Intuition-driven decisions hindered progress.

1. Discovery & Diagnosis

• We began by assessing Sift's existing analytics stack and identifying key challenges.
• The focus was on diagnosing disconnected tools, redundant event tracking, and areas where decisions were driven by intuition rather than data.

2. Infrastructure Setup & Data Integration

• We implemented Amplitude as Sift’s core analytics platform and integrated it with their existing data sources.
• Clean, scalable event tracking was established, ensuring consistent and trustworthy data collection across the user journey.
• This step involved defining critical events and user actions, aligning the data setup with Sift’s product goals.

3. Data Structuring & Simplification

• Next, we collaborated with Sift's team to simplify their data.
• Custom dashboards and reports were built around high-value metrics such as activation, retention, and feature engagement.
• This transformation turned overwhelming data into clear, goal-driven insights.

4. Insights & Optimization Implementation

• By analyzing the data, we identified key drop-off points during the onboarding process.
• Working closely with Sift's product team, we suggested UX adjustments that led to a measurable increase in user activation.
• Additionally, feature usage patterns were reviewed, revealing retention-driving elements that helped prioritize product enhancements.

5. Training & Team Empowerment

• Beyond technical implementation, we focused on building long-term data literacy within the team.
• Hands-on workshops and training sessions equipped the product team to independently explore data, interpret results, and ask better questions.

6. Ongoing Support & Impact Measurement

• We continued to offer strategic insights as Sift transitioned into a fully data-driven operation.
• This involved reviewing long-term impact metrics and fine-tuning their analytics strategies based on evolving business needs.

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Sift transitioned from guesswork to a data-driven culture, making confident decisions directly impacting growth. Their product team now operates with clarity and focus, with the insights they need to succeed.