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Building an audience-centric approach for sustained growth
by Distinctio
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Building an audience-centric approach for sustained growth

In the modern business landscape, leveraging data from various sources is crucial for building an audience-centric approach that ensures brand relevance and drives top-line revenue growth. Integrating data from ERP systems, CRM platforms, and marketing tools like HubSpot, Salesforce, and WordPress enables businesses to create personalized and meaningful interactions with their customers, leading to increased loyalty and sustained business success.

According to Gartner, cloud technology is a necessity for modern enterprises, enabling them to remain competitive and scalable.

Data capture: The foundation of audience centric strategies

Data is the cornerstone of an audience-centric strategy. By capturing data from various sources, businesses can gain a comprehensive understanding of their audience. By combining ERP data with CRM and marketing platforms, businesses can achieve a unified view of their customer interactions, operational processes, and sales data. This integration allows for real-time data synchronization, enhancing data accuracy and consistency across the organization​​.

Key data points include:

  1. Customer data
  2. Lead data
  3. Product data
  4. Sales data
  5. Marketing data
  6. Engagement data

The importance of data integration

By integrating data from various platforms through open APIs, businesses can achieve a unified view of their customers. Storing this data in the cloud or data lakes ensures scalability, accessibility, and real-time analytics. This integrated approach allows for a holistic understanding of customer behavior and preferences.

To leverage advanced AI solutions like Copilot, it is essential to store data in the cloud or data lakes. This storage facilitates the processing and analysis of large datasets, enabling AI tools to provide meaningful insights and assist in decision-making processes. Without this cloud-based storage, the capabilities of AI solutions would be significantly limited.

A unified data strategy involves integrating various SaaS solutions (such as HubSpot, Salesforce, and ERP systems) through open APIs, creating a seamless flow of information between platforms. For example, integrating ERP systems with CRM platforms like Salesforce allows businesses to have a single source of truth for customer data. This unified approach eliminates data silos, ensuring that all departments—from sales and marketing to product development—are working with the same accurate and up-to-date information.

Practical example of data structure

Entities:

    • Customer: Captures details such as name, contact information, purchase history, and engagement level.
    • Lead: Includes lead source, campaign details, and lead status.
    • Product: Information about the products or services offered, including specifications, pricing, and availability.
    • Sales: Data related to sales transactions, including sales representative details, deal value, and sales cycle duration.
    • Marketing campaign: Details of marketing campaigns, such as objectives, channels used, and performance metrics.
    • Engagement: Interactions with customers, such as email opens, website visits, and social media interactions.

Labels:

    • Customer ID: Unique identifier for each customer.
    • Lead score: Numerical value indicating the potential of a lead to convert into a customer.
    • Product ID: Unique identifier for each product.
    • Deal stage: Current stage of a sales deal (e.g., prospecting, negotiation, closed-won, closed-lost).
    • Campaign ID: Unique identifier for each marketing campaign.
    • Engagement type: Type of customer interaction (e.g., email, social media, website).

Enhancing audience-centric strategies

Personalized marketing: By using integrated data, businesses can segment audiences more effectively and create targeted marketing campaigns. Personalized content, offers, and recommendations lead to higher engagement and conversion rates​​.

Customer journey mapping: Understanding the customer journey from awareness to purchase and beyond helps businesses optimize each touchpoint. This ensures a seamless and satisfying customer experience, which is crucial for long-term loyalty and growth​.

Improved customer service: Access to comprehensive customer data allows sales and support teams to provide personalized and efficient service. This not only enhances customer satisfaction but also strengthens customer relationships​​.

Proving relevance through growth

A data-driven, audience-centric approach ensures brand relevance and drives measurable growth in top-line revenue. Benefits include:

  1. Increased customer lifetime value (CLTV): Personalized interactions increase customer satisfaction and loyalty, resulting in higher CLTV.
  2. Improved conversion rates: Targeted marketing campaigns and optimized customer journeys enhance lead-to-customer conversion rates.
  3. Enhanced brand perception: Consistently meeting customer expectations strengthens brand reputation.
  4. Revenue growth: Data-driven strategies lead to more effective marketing and sales efforts, driving increased sales and revenue growth​​.

Embracing a data-driven future

Integrating ERP, CRM, and marketing platforms is essential for building an audience-centric approach that ensures brand relevance and drives revenue growth. By leveraging data across these systems, businesses can create personalized experiences, improve operational efficiency, and achieve sustained growth.

For more information, please reach out to ann-kristin@distinctio.no.

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