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Vidalico Analytics - Chat with your Data

Stop guessing!

Chat with your data

Vidalico Analytics helps to get the answers from your data you always wanted to know. Just by asking.

Customers

Which customers are the most valuable to our business?

Channels What channels yield the best results for us?
Campaigns Which campaigns have the highest success rate?
Competitors How do our results compare to those of our competitors?
Resources Are our resources allocated effectively?
Opportunities What are the best opportunities for growth for our business?
Marketing ROI Where should we focus our marketing efforts and budget?
Performance What actions can we take to improve our performance?
Holistic

DATA-DRIVEN APPROACH

Vidalico Analytics will assist you in designing and executing a cohesive sales and marketing analytics strategy that addresses your inquiries and empowers you to:

  • Make informed choices
  • Predict how customers will act
  • Take effective actions
  • Enhance the customer experience
  • Show long-term benefits
  • Move forward and let the organization evolve

GET ANSWERS FROM YOUR DATA TODAY!

Collect, evaluate, and act on your business data.

The purpose of an analytics initiative is to gain valuable insights from your data, continuously gathering insights from user and organizational behavior to make better decisions and enhance business outcomes.

Effective business data analytics consists of the following building blocks for success:

 

Objectives

Establish objectives and metrics for success.

 
Data Management Compile and evaluate data from multiple sources.  
Analysis and Reporting

Chat with your data enabled by our intelligent self-service analytics solution.

 

 

POPULAR DATA SOURCES AND INTEGRATIONS

Frequently Asked Questions

What is your typical approach in Marketing Analytics Advisory?

First we assess the current state of the customer's data environment: This would involve analyzing the customer's current data systems and processes to identify any bottlenecks, inefficiencies, or gaps in data management.

After that, we Identify the customer's business objectives: We would work with the customer to understand their business goals and objectives in order to determine how data can be used to support them.

Once the objectives are clear, we develop a data management strategy: Based on the findings of the assessment and the customer's business objectives, we would develop a data management strategy that outlines how to improve data collection, storage, processing, and analysis.

Implementing the strategy: We would work with the customer to implement the data management strategy, which may include implementing new data systems, tools, and processes, or training employees on new data management techniques.

After the successful project, we could help you with monitoring and maintaining the data environment: We would work with the customer to monitor the effectiveness of the new data management systems and processes, and make adjustments as needed to ensure they continue to meet the customer's business objectives. 

Providing ongoing support and consulting: If needed, we would continue to provide support and advice to the customer on an ongoing basis to ensure the data management systems and processes continue to meet the customer's needs.

How can we track and measure the effectiveness of our marketing campaigns?

We can help you to track and measure the effectiveness of marketing campaigns by using metrics such as click-through rates, conversion rates, and revenue generated.

We can also help you to track the customer journey and use A/B testing to optimize campaigns.

How can we use data to optimize our marketing strategies and tactics?

Data can be used to optimize marketing strategies and tactics by identifying patterns and trends in customer behavior, and using that information to make informed decisions about targeting, messaging, and channel mix.

How can we improve our customer retention and loyalty?

Customer retention and loyalty can be improved by using analytics to understand customer needs and preferences, and by implementing targeted retention campaigns and loyalty programs.

How can we use analytics to identify opportunities for cost savings and efficiency gains?

Analytics can identify opportunities for cost savings and efficiency gains by identifying inefficiencies in marketing operations and identifying areas where resources can be reallocated.

How can we integrate data from multiple sources and systems to gain a comprehensive view of our marketing performance?

Integrating data from multiple sources and systems can give a comprehensive view of marketing performance by providing a more complete picture of customer behavior and campaign effectiveness.