How Datazip Helped Neodove Achieve 2.5x Revenue Growth


Neodove provides Tele-calling CRM software for small and medium-sized Indian businesses to manage their sales processes. Their platform includes tools for sales calls, lead tracking, and customer engagement, helping companies streamline everything from automated calling to detailed sales reporting.
Core Challenges
Slow Query Performance Sabotaging Real-time Decision Making
Query execution for Neodove's product analytics took 20-30 minutes, creating significant delays for teams to generate timely reports, and dashboards frequently failed to load during critical decision-making moments.
This delay meant managers were making decisions based on outdated data, sometimes hours behind real-time performance. Critical metrics like first call response times and agent productivity couldn't be monitored in real-time, leaving potential performance issues unaddressed for extended periods.
Manual Data Collection Creating Accuracy Gaps
Neodove’s data lived in over 100+ Google Sheets, spread across six different SaaS sources. Their team manually collected daily performance metrics for customer success and sales teams.
By the time teams finished consolidating reports for stakeholders, the performance data was already outdated, creating a constant lag in strategic decision-making.
Limited Cross-functional Visibility Hindering Growth
Neodove lacked vertical visibility across the organization, different teams couldn't track the complete user journey or measure agent performance consistently.
They needed to understand user behavior, especially crucial metrics like how quickly agents contacted leads within the first 5-15 minutes, but their existing setup couldn't provide these insights efficiently.
This delay in performance tracking meant missed opportunities for immediate coaching and optimization of agent productivity.
The situation left Neodove with two options: hire a data engineer at $50-60k annually plus $7,000 annual infrastructure costs, or find a more efficient solution.
These challenges, combined with the constant lag in performance data, directly impacted their ability to scale and make data-driven decisions, setting the stage for their partnership with Datazip.
Solutions and Impact
Datazip's first solution tackled Neodove's database performance issues head-on. By rebuilding their query structure and implementing DBT processes, reports that previously took 30 minutes are now completed in just 90 seconds.
The transformation layer consistently processed data in under 15 seconds, allowing teams to access dashboards instantly instead of waiting for reports to load.
This speed improvement meant managers could now check agent performance, call metrics, and customer data in real-time, enabling immediate response to any performance changes.
The second solution brought together all six of Neodove's SaaS tools into one central platform. This consolidation eliminated the need for manual data collection across 100+ Google Sheets. Data accuracy jumped from 70% to 99.99%, giving teams reliable information for decision-making.
The unified platform meant sales teams could instantly see advertising performance from Facebook and Google, while customer success teams got immediate access to user behavior data. This integration saved hours of manual compilation work each day.
Datazip's third solution focused on automating Neodove's critical reporting needs. Several essential cross-functional reports, previously compiled manually, now ran automatically. Teams could track agent performance and first call response times as they happened, rather than waiting for end-of-day reports.
This automation meant customer success and sales teams received their daily performance metrics without any manual intervention, enabling faster responses to market changes.
Measurable Outcomes
The transformation resulted in clear, quantifiable improvements:
Revenue growth: 2.5x through enhanced decision-making
Query performance: From 30 minutes to 90 seconds
Data accuracy: Improved from 70% to 99.99%
Cost savings: ₹480,000 annually in infrastructure costs
Process automation: 5 critical reports fully automated
Additional Value Creation
Beyond the core solutions, Datazip delivered additional improvements for Neodove. They implemented direct integrations with Facebook and Google for advertising analytics, enabling instant lead tracking and loss analysis.
The solution eliminated the need to hire a dedicated data engineer, significantly being cost effective. The unified platform provided comprehensive vertical-wise visibility, leading to enhanced performance tracking and decision-making capabilities.
Next Steps
Neodove continues to evolve their data capabilities with Datazip, focusing on AWS cost optimization, query enhancement, and deeper product analytics.
The partnership has established a foundation for sustainable growth, demonstrating how strategic data engineering can drive substantial business results.
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