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What are some alternative data collection methods for Marketing Analytics?

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Marketing analytics is the practice of measuring, analyzing, and optimizing the performance of marketing campaigns and strategies. It helps marketers understand the impact of their actions on customer behavior, satisfaction, and loyalty. However, traditional data collection methods, such as surveys, interviews, and focus groups, can be costly, time-consuming, and biased. Therefore, marketers need to explore some alternative data collection methods that can provide more insights, efficiency, and accuracy. Here are some examples of how to use alternative data sources for marketing analytics.

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A Al-Thami, MSc

Retail Growth Strategy Visionary?? | Crafting Customer-Centric Growth | Franchise Expert & Frontline Regional Leader |…
Mayur Jawdekar

Founder at Altois | CRM, Marketing Technology & Sales Automation

1 Web Analytics

Web analytics is the process of collecting and analyzing data from websites, such as traffic, conversions, bounce rate, and page views. It can help marketers understand how visitors interact with their online content, what drives them to take action, and what prevents them from doing so. Web analytics tools, such as Google Analytics, can provide a wealth of information about the behavior, preferences, and demographics of website visitors. Marketers can use web analytics to optimize their website design, content, and user experience, as well as to measure the effectiveness of their online marketing campaigns.

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Mayur Jawdekar

Founder at Altois | CRM, Marketing Technology & Sales Automation
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Using tools like Microsoft Clarity can help understand user behaviour through session recordings and heatmaps. It can also help identify points of frustration for the user with dead clicks and rage clicks

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2 Social Media Analytics

Social media analytics is the process of collecting and analyzing data from social media platforms, such as Facebook, Twitter, Instagram, and LinkedIn. It can help marketers understand how their brand, products, and services are perceived, discussed, and shared by their target audience and influencers. Social media analytics tools, such as Hootsuite, can provide a variety of metrics, such as reach, engagement, sentiment, and mentions. Marketers can use social media analytics to monitor their online reputation, identify trends and opportunities, and engage with their customers and prospects.

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A Al-Thami, MSc

Retail Growth Strategy Visionary?? | Crafting Customer-Centric Growth | Franchise Expert & Frontline Regional Leader | Marketing Analytics Expert
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Even though social media analytics are very useful, they frequently ignore the "silent majority." Many watch without participating, and their opinions can diverge greatly from those of active online communities. Achieving a balance between analytics and direct customer feedback is critical.

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3 Customer Relationship Management (CRM) Analytics

CRM analytics is the process of collecting and analyzing data from customer relationship management systems, such as Salesforce, HubSpot, and Zoho. It can help marketers understand how their customers interact with their brand across different channels, stages, and touchpoints. CRM analytics tools, such as Tableau, can provide a comprehensive view of the customer journey, from acquisition to retention. Marketers can use CRM analytics to segment their customers, personalize their communication, and increase their loyalty and satisfaction.

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4 Mobile Analytics

Mobile analytics is the process of collecting and analyzing data from mobile devices, such as smartphones and tablets. It can help marketers understand how their mobile apps and websites are used, accessed, and downloaded by their users. Mobile analytics tools, such as Firebase, can provide various indicators, such as active users, sessions, retention, and revenue. Marketers can use mobile analytics to improve their mobile app and website functionality, usability, and design, as well as to optimize their mobile marketing campaigns.

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5 Sentiment Analysis

Sentiment analysis is the process of applying natural language processing and machine learning techniques to analyze the emotions and opinions expressed in text data, such as reviews, comments, feedback, and social media posts. It can help marketers understand how their customers feel about their brand, products, and services, as well as their competitors and industry. Sentiment analysis tools, such as MonkeyLearn, can provide a score or a label for the polarity and intensity of the sentiment. Marketers can use sentiment analysis to identify customer pain points, improve customer service, and enhance customer satisfaction.

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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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Mayur Jawdekar

Founder at Altois | CRM, Marketing Technology & Sales Automation
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Customer reviews and ratings: This can be used to identify product strengths and weaknesses, improve customer service, and build brand reputation.

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What are some alternative data collection methods for Marketing Analytics?

1

2

3

4

5

6

1 Web Analytics

2 Social Media Analytics

3 Customer Relationship Management (CRM) Analytics

4 Mobile Analytics

5 Sentiment Analysis

6 Here’s what else to consider

Marketing Analytics

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What are some alternative data collection methods for Marketing Analytics?

1

2

3

4

5

6

1 Web Analytics

2 Social Media Analytics

3 Customer Relationship Management (CRM) Analytics

4 Mobile Analytics

5 Sentiment Analysis

6 Here’s what else to consider

Marketing Analytics

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