Learn how to manage your marketing data in the digital era with tips on data goals, platforms, governance, analysis, and action.

Start by auditing current systems and datasets before investing in new software. Identify available reports from existing tools like social media analytics, CRM, web visits, and email marketing to pinpoint blindspots. You already have useful information, but you might be struggling to locate it, specially if other teams have access to a marketing or customer management platform. Leading with an audit helps invest in the right systems and determine if integrating apps or a comprehensive tool works best. Especially for small teams and limited budgets, constantly assessing what works and doesn't convert creates a culture that embraces change.

How can you manage marketing data in the digital era?

Marketing data is the fuel that powers your digital campaigns, insights, and decisions. But managing it can be a daunting challenge in the era of big data, multiple platforms, and privacy regulations. How can you ensure that your marketing data is accurate, accessible, and actionable? Here are some tips to help you master marketing data management in the digital era.

1 Define your data goals

Before you collect, store, and analyze your marketing data, you need to have a clear vision of what you want to achieve with it. What are your key performance indicators (KPIs), metrics, and targets? How do they align with your business objectives and customer needs? How will you measure and report on your data outcomes? Defining your data goals will help you focus on the most relevant and valuable data sources, methods, and tools.

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Paulette Piñero

Recovering Perfectionist | Storyteller | Writer | Guiding visionary leaders to harness their strengths, amplify their voice, and live their purpose, so they transform into the unstoppable CEOs of their ventures.
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Start by auditing current systems and datasets before investing in new software. Identify available reports from existing tools like social media analytics, CRM, web visits, and email marketing to pinpoint blindspots. You already have useful information, but you might be struggling to locate it, specially if other teams have access to a marketing or customer management platform. Leading with an audit helps invest in the right systems and determine if integrating apps or a comprehensive tool works best. Especially for small teams and limited budgets, constantly assessing what works and doesn't convert creates a culture that embraces change.

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2 Choose the right data platforms

You can't manage your marketing data without the right technology. But with so many options available, how do you choose the best ones for your needs? You need to consider factors such as data quality, integration, scalability, security, and cost. You also need to evaluate the features and functionalities of different data platforms, such as customer relationship management (CRM), marketing automation, analytics, and data visualization. Ideally, you want to create a data ecosystem that connects and syncs your data across platforms, channels, and devices.

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Maria Mughal ☁️

Fractional CMO | Venture Growth Marketer | Unorthodox Creative | Tech Translator
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One thing I found helpful when considering new technology to add to an ecosystem is to establish a data journey across the organisation. This exercise allows you to see where data needs to be pushed to and pulled from to help avoid data blind spots.

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3 Implement data governance

Data governance is the set of policies, processes, and standards that ensure the quality, consistency, and compliance of your marketing data. It covers aspects such as data ownership, roles, responsibilities, access, security, privacy, and ethics. Data governance helps you avoid data errors, duplication, fragmentation, and breaches. It also helps you comply with data regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). You need to establish and enforce data governance rules and best practices across your organization and partners.

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4 Optimize data analysis

Data analysis is the process of transforming your raw data into meaningful insights and recommendations. It involves techniques such as segmentation, profiling, attribution, testing, and optimization. Data analysis helps you understand your customers, markets, competitors, and performance. It also helps you identify opportunities, challenges, and solutions. You need to use the right data analysis methods and tools for your data goals and questions. You also need to communicate and present your data findings in a clear and compelling way.

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5 Leverage data action

Data action is the process of applying your data insights and recommendations to improve your marketing strategy and tactics. It involves actions such as personalization, automation, optimization, and innovation. Data action helps you deliver relevant, engaging, and effective marketing experiences to your customers. It also helps you increase your marketing efficiency, effectiveness, and ROI. You need to use the right data action platforms and tools for your data goals and campaigns. You also need to monitor and measure your data impact and results.

Managing marketing data in the digital era can be a complex and dynamic task. But with the right approach, tools, and skills, you can turn your marketing data into a powerful asset for your business. How do you manage your marketing data? What are the best practices and challenges that you face?

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Samuel Allen

Growth & Marketing Automation | CRM l Revenue Operations | GTM Strategy | B2B | B2C
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Another thing to consider not mentioned here is the topic of data hygiene. Data is as useful as it is structured, clean and accurate. Bare, duplicated and/or false data can at best lead to some manual cleaning, at worst skew entire datasets, leading to poor decision making. A data maintenance program should be defined as an easier way of spotting outliers in a data echo system and, paired with regular audits, can improve accuracy, in turn ensuring better results for stakeholders.

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Akshay Bansal

AI Strategist | Helping Businesses Unlock Exponential Growth through Custom AI Solutions.
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- Data Integration: Integrate data from various marketing channels and sources for a unified view. - Data Storage: Utilize cloud-based storage solutions for scalable and secure data management. - Data Visualization: Use data visualization tools for clear and actionable representations of marketing data. - Automated Reporting: Implement automated reporting to streamline data reporting processes. - Data Cleaning and Maintenance: Regularly clean and maintain data to ensure accuracy and relevance. - Real-Time Data Access: Ensure access to real-time data for agile marketing strategies.

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Pallavi Singh

Experienced marketing professional in building brands across service-based and b2b organisations | I excel in scaling and building brands through creative and strategic marketing | Expert in brand and product marketing
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In today's digital marketing world, using the right tools and keeping your data clean is super important. To make the best choices in marketing, you need data that's not only true but also easy to understand, like a clear road map. To get this data right, you have to pick the best tools and ways to display it that match your marketing goals and what you want your business to achieve. Without doing this, it's like having a treasure map but not knowing how to read it – you might miss out on valuable opportunities in the ever-changing digital world. So, remember, using the right tools and making your data clear can help you succeed in digital marketing! 📈

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How can you manage marketing data in the digital era?

1

2

3

4

5

6

1 Define your data goals

2 Choose the right data platforms

3 Implement data governance

4 Optimize data analysis

5 Leverage data action

6 Here’s what else to consider

Marketing Operations

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How can you manage marketing data in the digital era?

1

2

3

4

5

6

1 Define your data goals

2 Choose the right data platforms

3 Implement data governance

4 Optimize data analysis

5 Leverage data action

6 Here’s what else to consider

Marketing Operations

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