If you’re in RevOps, you might need to analyze customer data to identify upsell and cross-sell opportunities. Or, maybe you’re in Customer Success and you need to quickly identify trends in customer complaints to improve your team's response.
Either way, you need fresh, up-to-date data to inform these high-quality, operational decisions.
SQL is (more often than not) the proposed solution. There’s just one, small problem: Many non-technical team members struggle to utilize SQL. After all, it requires specialized knowledge and inherently technical skills.
This ultimately creates a barrier to accessing and utilizing valuable data that can help teams across the organization make informed decisions.
However, non-technical employees can use Census to enable easy Data Activation and empower themselves to create their own views of up-to-date data in Google Sheets.
These are the ten customer fields that you’ll need to get started:
| Customer Field |
Field Description |
| customer_id |
Unique identifier for each customer |
| order_date |
Date of the customer's purchase |
| product_name |
Name of the product purchased by the customer |
| product_id |
Unique identifier for each product |
| quantity |
Number of items purchased |
| price |
Price of the product |
| discount |
Discount applied to the purchase |
| revenue |
Total revenue generated from the purchase |
| customer_name |
Name of the customer |
| email |
Email address of the customer |
With these 10 fields from your data source, Census, and Google Sheets, you can now:
- Identify top-selling products. Marketing can identify which products are selling the most and adjust their marketing strategies accordingly to boost sales.
- Analyze customer purchase patterns. Sales can analyze customer purchase patterns to identify upsell and cross-sell opportunities and increase revenue.
- Track customer complaints. Customer support can identify trends in customer complaints and improve their team's response to enhance customer satisfaction.
- Monitor revenue growth. RevOps can monitor revenue growth over time to identify areas where they can focus their efforts to increase revenue.
To enable anyone (technical and non-technical alike) to activate their data, follow these steps:
- Connect Census to your data source.
- Select the 10 customer fields (above) that you want to use.
- Create a view in Census that filters and aggregates your data based on your use case.
- Connect the view to Google Sheets using Census' Google Sheets integration.
- Customize the view in Google Sheets to match your team's needs.
What’s next?
Once you’ve created all your views in Google Sheets, there are tons of other use cases to explore. For example, you can use the data to create targeted marketing campaigns, analyze customer retention rates, or track customer lifetime value. Check out our complete Data Activation Playbook to explore more use cases.
