Customer behavior is changing fast, But, is your Customer Data changing
What is Data-driven Marketing?
Data-driven marketing is the use of updated and enriched data to reach out to the right customer and realize returns for the brand. It helps in targeting the right people, at the right time and place with a well devised campaign and messaging. It enables you to optimize budgets by knowing better.
“If you don’t enrich your data and extend data modelling, then your data is useless.”
Putting Data-driven Marketing to good use.
How can it help?
Identify your Target Audience
High Quality Lead generation
Rich feed for effective Data Modeling
Holistic Customer Experience
Optimize on Budgets
Craft compelling Messaging
Build Effective Campaigns
Create Loyal Customer Communities
“You are Smart, but is your Data equally smart?”
Unlock the true potential of your data to make better marketing decisions.
Learn more about Data-driven Marketing
Frequently Asked Questions
How is data driven marketing different from traditional marketing?
Data-driven marketing is constructed to deliver insights that you would have access to in the absence of data. While traditional marketing is mass marketing, data-driven marketing encourages you to take informed decisions based on current and relevant data.
How is data-driven marketing used by marketers for a business?
Marketers use data in many ways. Some of the most common ways are
- Personalize the customer experience,
- Target well-defined marketing segments, and
- Get new customers.
- With the data, brands can also measure and improve their strategies in real time.
How data-driven marketing affects business performance?
Some of the ways in which data-driven marketing provides a leverage to business performance has been
- Greater customer loyalty
- Acquiring more new customers
- Increased customer satisfaction
- Repeatable business success
- Better Lifetime value
What are the challenges that you should be taking care of while employing data-driven marketing?
Some of the common challenges of data-driven marketing can be resolved with technology. But, here are some challenges that you should look out for:
- Loose data standards
- Data without a value exchange
- Duplication and data costs
- No analytics tied to data
- Data silos
- Data interoperability