- Why most businesses struggle with data accuracy
- How Coupler.io eliminates human error in reporting
- The biggest gaps in HubSpot analytics and how to fix them
- Why data is useless unless it’s actionable
The $150,000 Excel Mistake That Started It All
What is Coupler.io?
At its core, Coupler.io is a data automation tool that helps businesses pull data from multiple sources—like HubSpot, Google Sheets, and CRMs—and create accurate, real-time reports. Unlike traditional reporting tools, Coupler.io isn’t just about visualizing data—it’s about making it actionable.Why HubSpot Users Need Coupler.io
HubSpot has built-in reporting, but it has limitations. Many businesses need custom reporting but don’t have the resources to:
- Clean and structure their data manually
- Merge multiple data sources into one dashboard
- Identify trends and correlations across teams
- Automate data transfers from HubSpot to other platforms
- Combine data from different sources, including CRM, sales, marketing, and support
- Build dashboards that help teams take action
The Real Problem with Dashboards
Most dashboards look impressive, but are they useful? "People love pie charts and bar graphs, but they just scroll through them without knowing what to do next," said Sergiy.
Coupler.io ensures that every dashboard answers one critical question: What action should I take based on this data?
For example, instead of just showing customer churn, Coupler.io’s dashboards show:
- Which customers are at risk
- What common pain points they mention in support tickets
- What proactive steps the team should take to retain them
How Data Mistakes Cost Businesses Millions
Many companies think they’re making data-driven decisions, but in reality, they’re running blind.
Sergiy explains: "The majority of businesses—from small startups to enterprises—are completely blind about what’s going on. Wrong decisions are made because the wrong data was in the wrong hands."
Some of the most costly mistakes businesses make with data include:
- Trusting outdated or incorrect reports
- Making assumptions instead of analyzing real trends
- Relying on manual data entry, which is prone to errors
The Future of Data Automation
- Detect data anomalies automatically
- Suggest optimizations based on historical trends
- Auto-update reports in real time