The problem was not a lack of data
It was being able to use it
An Italian veterinary group operating more than 50 facilities already had access to data from its management systems, website, advertising campaigns, analytics platforms, Business Intelligence tools and Excel files. However, to obtain a complete view, the marketing team had to manually export, compare and validate information from multiple sources.
With DataTalk, the time required to prepare the same recurring analysis was reduced from two days to just three minutes. The team can now query its data sources using natural language, compare the performance of different facilities and start directly from the questions that support business decisions.
Instead of two working days
Integrated into a single environment
Customer and patient data analysis
The data was already there.
It was simply stored in different places
Managing data for a veterinary clinic is a common challenge. It becomes even more complex when an organization operates more than 50 facilities, including veterinary clinics, outpatient practices and emergency veterinary centers across the country.
The group’s marketing team had access to a large and highly diverse amount of data. Customer records were divided across multiple databases, sources and Excel files were distributed among individual facilities, and the different marketing tools did not communicate with one another.
As a result, the team could not obtain a consistent, unified and proactive view to support future marketing strategies.
The available data sources included:
- Analytics platforms
- Website
- Advertising platforms
- Management systems
- Business Intelligence tools
- Excel files
To obtain a complete overview, the team had to manually export, compare and validate the data. Preparing an analysis could require up to two working days.
Questions that were difficult to answer quickly
- Which campaigns generate the highest-value customers?
- Which customers return to the facilities most frequently?
- Which services are being purchased?
- Which segments offer the greatest potential for retention, upselling and cross-selling?
- Which prospects are closest to conversion?
A single environment to understand what and why it is happening
DataTalk centralized the group’s main marketing and management data sources, organizing the information according to shared criteria. The data can now be analyzed through ad hoc queries and customizable dashboards that are updated in real time.
Data source centralization
DataTalk brings information from different systems together in a single environment.
Data exploration and analysis
Teams can explore information through ad hoc queries and targeted analyses.
Always up-to-date dashboards
Users can create customizable dashboards that update in real time.
From preparing data to making decisions
Required for data exports, checks and manual reconciliation.
The comparison refers to the preparation of the same recurring analysis, from extracting information from the different sources to delivering a result validated by the marketing team.
- Repeat customer rate
Increase recorded by the group
- Average customer value
Growth in the group’s average customer value.
- Conversions
The group recorded an increase in conversions, although no specific percentage was disclosed.
- More accurate and actionable customer segments for the marketing team
- Faster activation of retention, upselling and cross-selling campaigns
- A stronger ability to connect advertising investments with customer behavior and value
Less time collecting data
More time analyzing it
How long does one of your recurring analyses currently take?
Bring a report that your team currently prepares manually to a DataTalk demo and discover how the same information could be queried and analyzed through the platform.