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Social listening involves observing or collating live social conversations to develop insights about what people are saying about your brand or other topics, and why they are saying that. These social conversations offer insights into your consumer interests, aspirations, dreams, products, and so on. They also show how customer sentiment is evolving over time.
Although social listening is very effective, in order for it to be comprehensive, you need to use paid tools. If you don’t have access to paid tools, social listening can be achieved observationally when developing insights by searching keywords and making observational assumptions.
Paid social listening tools can go into incredible detail, looking at huge volumes of conversations. Because you are working with such large volumes, you can develop more accurate insights into your audience.
For example, an airline may be interested in what its customers talk about online, in social media, in forums and other digital conversations. A social listening tool can identify airline customers and their conversations and categorize them into different topics as shown in the conversation wheel below.
For example, you can look at the types of conversations that airline travelers are engaging in on social media.
Each conversation topic can then be analyzed further exploring what consumers are saying about the topic (keywords, hashtags), how they feel (sentiment) and any brands, businesses or influencers that are involved in the conversation.
When conducting social listening, you can adopt an observational or empirical approach:
Observational social listening
If you do not have the budget for a paid tool, you can use observational social listening to gather your data. It will not be as accurate as the tools you pay for. However, by observing how people use keywords, hashtags, and tags, and the content and types of media they engage with you can still develop hypotheses of behavior.
Step 1
The first step is to observe how your audience are talking about specific topics by utilizing keywords and observing how they talk. Are they happy or unhappy? Do they use specific emojis?
Step 2
Then, in the second step, using your own data, you can match your assumed insights to empirical data. If your consumers are happy about a product, you should see high positive engagement on that product’s content.
Next, you can develop insights from your observational or empirical social listening. This involves five steps:
Julie is an award-winning digital strategist, with over 30 years’ experience. Having worked both agency and client-side, she has a wealth of knowledge on delivering marketing, brand and business strategy across almost every sector. In 2016, Julie set up Small Wonder. Drawing on her past experience, she now supports a wide range of businesses, from global brands, to educational organisations and social enterprises.She is the author of the book, Social Media Strategy which was a top read chosen by Thinkers360. You can find her on X and LinkedIn.
This guide draws your attention to the specific modules and lessons that you need to focus on to prepare effectively and ensure success in your recertification exam.
ABOUT THIS DIGITAL MARKETING MODULE
This module identifies the core components of an effective digital marketing strategy, and the role AI can play in strategy development. It also explains how to develop an effective budget plan and measure the ROI for digital activities. It covers how to set clear and actionable objectives and measurable KPIs, as well as the key research activities to undertake to guide channel selection and messaging. And it explains how to develop a creative strategy based on campaign research to engage an audience and deliver on campaign goals. The module concludes by explaining how to execute a digital marketing strategy supported by a channel plan, a paid media plan, a campaign action plan, and succinct strategy documentation.