Case Study
A leading luxury watch manufacturer sought to deepen their understanding of market dynamics and consumer perceptions but faced challenges with a limited volume of social media interactions. listening247® technology was deployed to analyse over 41,794 posts, refining the data to 4,423 relevant commercial interactions, which provided actionable insights and enhanced brand perception and engagement.
A leading luxury watch manufacturer needed to enhance their understanding of market dynamics and consumer perceptions. The challenge was to derive actionable insights from a limited volume of social media interactions using methods beyond traditional analytics.
listening247 implemented their proprietary technology to meticulously analyse social media data associated with the luxury watch market. The approach was comprehensive: beginning with the harvesting of over 41,794 posts and undergoing multiple rounds of noise elimination to refine the data to the most relevant 4,423 commercial posts.
1. Enhanced Brand Perception: Insights revealed the brand as 'elegant' and 'good value for money', crucial for refining marketing strategies and consumer communication.
2. Direct Consumer Engagement: The identification of leads facilitated direct interactions with potential buyers, boosting conversion opportunities and enhancing customer relationship management. Identifying key influencers and approximately 513,000 potential customer leads, listening247 enabled the brand to strategically connect with both market movers and potential buyers.
Case Study
Carlsberg’s YouTube campaign faced challenges with a noisy dataset of 22,448 posts, plagued by duplicates and irrelevant content. listening247 employed a three-step noise elimination strategy, refining the data to 177 relevant posts, leading to more accurate insights, cost efficiency, and improved campaign performance.
Carlsberg’s “Standing up for a friend” YouTube campaign initially struggled with a noisy dataset of 22,448 posts, predominantly filled with duplicates and irrelevant content. Traditional tools inaccurately processed this noise, risking flawed campaign evaluations.
listening247 approached the problem with a structured three-step noise elimination strategy, utilising their proprietary solution, listening247. The first step involved the removal of 3,354 duplicate posts, instantly refining the dataset. Subsequently, a taxonomy of noise terms was created with the assistance of specially trained human curators, which facilitated the identification and removal of 18,890 irrelevant posts. By the end of the process, the dataset was distilled to 177 relevant posts, ensuring a high level of data purity.
Using engaging247, the brand enhanced its social media management with features like the smart compose for scheduling posts, a unified inbox for tracking and responding to comments, and easy access to comprehensive reports. The seamless integration between listening247 and engaging247 allowed the brand to target the right audiences with the content and offers that they were expecting.
1. Informed Decision-Making: With purified data, Carlsberg gained accurate insights into audience engagement, enhancing decision-making and strategic planning.
2. Cost and Time Efficiency: The precise analytics saved significant time and resources otherwise wasted on sifting through irrelevant data, boosting operational efficiency.
3. Enhanced Campaign Performance: The insights derived from high-quality data enabled Carlsberg to optimise its marketing efforts, leading to improved campaign efficacy and a stronger market presence.
4. Precision Analytics: listening247's proprietary solution, was pivotal, filtering out 99% of the noise and isolating 177 pertinent posts, starkly contrasting with the results from other tools and solutions.
Case Study
A global FMCG company sought to identify emerging trends in Vietnam's market using digital data. listening247 provided a solution by applying advanced AI models to analyse extensive online content, enabling the client to enhance marketing strategies, adapt swiftly to market changes, and make informed decisions through detailed insights and interactive reporting tools.
A global FMCG company needed to uncover emerging consumer trends in Vietnam’s dynamic market. They required a solution to interpret vast digital data—from blogs to social media—without direct consumer interaction.
To address these challenges, listening247 implemented a comprehensive social intelligence strategy using advanced AI models. The approach involved collecting data from a wide range of digital platforms using 60 generic keywords categorised into areas such as 'lifestyle', 'appearance', and 'career'. This data was meticulously annotated with information about brands, sentiments, and topical discussions.
1. Enhanced Marketing Strategy: The insights gained enabled the FMCG company to refine their marketing strategies, ensuring alignment with real-time consumer trends.
2. Agile Market Response: Access to the listening247 platform allowed the client to monitor changes and adapt quickly, maintaining a competitive edge.
3. Informed Decision-Making: The strategic insights led to better decision-making, driving effective consumer engagement and increasing market penetration in Vietnam.
4. Interactive Reporting Tools: listening247 provided an intuitive dashboard and detailed reports via a partner agency, facilitating seamless insight dissemination to the client.
Case Study
In a collaborative project with a telecom client, listening247 faced the challenge of integrating social listening analytics with existing consumer surveys amidst managing over 620,000 social media posts and aligning diverse Net Promoter Scores (NPS™) and Net Satisfaction Scores (NSS™). The project demanded advanced analytical techniques to sift through noise, categorise data effectively, and correlate consumer sentiment with market events.
The collaborative project between listening247 and a Telecom client sought to integrate social listening analytics with existing consumer surveys. A significant challenge was managing over 620,605 social media posts, with about two-thirds rendered irrelevant due to noise issues. Aligning the monthly NPS™ with variable NSS™ scores also presented complexities, necessitating an advanced analytical approach to synthesise these diverse data streams.
listening247 addressed these challenges by involving extensive social media listening over a six-month period and the deployment of sophisticated data curation techniques. This included the creation of a detailed hierarchical taxonomy to categorise the data effectively and the use of refined search term combinations to improve the relevance of the data collected. listening247's solution also involved superimposing NPS™ and NSS™ data over a calendar of market events thereby providing a dynamic analysis that captures the pulse of consumer sentiment and its impact on brand perception.
1. Enhanced Strategic Decision-Making: The integration of NPS™ and NSS™ allowed telecom client to gain a dual perspective on customer loyalty and social sentiment, offering a holistic view of brand health and consumer satisfaction.
2. Improved Customer Insights: The project uncovered specific consumer sentiments not captured in traditional surveys, enabling telecom client to tailor their customer engagement and service strategies more effectively.
3. Informed Operational Adjustments: The insights provided led to better-informed operational decisions, enhancing brand’s responsiveness to market changes and customer needs, ultimately strengthening their market position.
4. Dynamic Data Analysis: By overlaying NPS™ and NSS™ data with a calendar of market events, listening247 provided a nuanced analysis that captured real-time consumer sentiment fluctuations and their impacts on brand perception.
Case Study
A leading fashion brand in South Africa faced the challenge of understanding true consumer sentiment despite widespread online mentions. Traditional analytics fell short, prompting the brand to partner with listening247, which used advanced image analytics and deep learning to decode the visual narrative of the brand’s online presence.
A leading fashion brand in South Africa found itself facing a perplexing conundrum. Despite being mentioned across various online platforms, deciphering the true sentiment and perception surrounding its brand proved to be an uphill battle. Traditional text analytics fell short in capturing the richness and depth of consumer engagement, leaving the brand grappling with a fragmented understanding of its online presence.
Recognising the imperative to adapt to the evolving landscape of social media, the fashion brand turned to listening247 for a transformative solution. Leveraging listening247's cutting-edge image analytics capabilities, the brand embarked on a journey to unravel the visual narrative surrounding its products and brand identity. Through the deployment of advanced deep learning machine technology, listening247 provided the brand with the tools to decode the complexities of consumer-generated content, including images, videos, and other unstructured data.
1. Holistic Brand Perception: By harnessing image analytics, the fashion brand gained unparalleled insights into how consumers perceive and interact with its products online. From identifying key brand elements within visual content to discerning emerging trends, the brand now possesses a comprehensive understanding of its online image.
2. Strategic Agility: Armed with a newfound understanding of consumer sentiment, the fashion brand seamlessly integrated image analytics into its strategies. This strategic pivot not only unlocked new revenue streams but also positioned the brand at the forefront of innovation within the fashion industry.
3. Rapid Insights Generation: With listening247's image analytics solution, the fashion brand can now decode vast amounts of unstructured data in mere minutes. Whether it's analysing video clips, social media posts, or online community chatter, the brand gains actionable insights at an unprecedented speed, enabling agile decision-making and strategic planning.
4. Emotion Intelligence: listening247's proprietary AI models go beyond surface-level analysis, delving deep into the intricacies of consumer emotions. By dissecting both positive and negative sentiments expressed in visual content, the fashion brand gains a nuanced understanding of consumer sentiment, driving enhanced engagement and brand loyalty.
5. Intelligent Consumer Insights: With listening247's advanced machine learning models, the fashion brand gained unparalleled access to consumer behaviours, requirements, and preferences. Armed with this knowledge, the brand can tailor its marketing strategies and product offerings to resonate more deeply with its target audience.
Case Study
A leading beverage manufacturer faced the challenge of analyzing consumer discussions about dining out in Morocco amidst multiple languages and diverse data sources. Their objective was to uncover trends to strengthen their market presence.
A leading beverage manufacturer needed to decode consumer discussions about dining out in Morocco, navigating the dual challenges of multiple languages and varied data sources. Their goal was to understand trends that could enhance their market presence.
listening247’s strategy ensured a comprehensive capture and interpretation of consumer behaviour and preferences across different platforms. This annotated data was systematically organised into Excel tables, facilitating a seamless transfer of processed information to the client’s market research agency.
1. Strategic Insights: The client received a PowerPoint report filled with actionable insights, enabling them to tailor their strategy effectively.
2. Market Alignment: The insights provided allowed the client to align their offerings with consumer preferences, enhancing customer engagement.
3. Competitive Advantage: Armed with deep market understanding, the client could better position themselves in Morocco’s competitive dining sector, potentially increasing their market share.
4. Effective Collaboration: By collaborating closely with the client’s market research partner, listening247 ensured the insights were precisely aligned with the client’s strategic needs.
Case Study
A leading knitwear brand struggled with a low share of voice and ineffective social media strategies, despite having a positive brand sentiment. Challenges included identifying key influencers, managing sentiment, and distinguishing itself in a competitive market.
A leading knitwear clothing brand faced significant challenges in maintaining its competitive edge in the crowded knitwear market. Despite having a positive brand sentiment, the brand's share of voice was notably low, commanding only 4% of the industry's conversation. The company also struggled to identify key influencers, manage sentiment across various platforms, and differentiate itself from competitors. Furthermore, there were gaps in their social media strategy, particularly in content creation and resource allocation.
To address these challenges, the knitwear brand began with listening247 for brand health tracking and competitor benchmarking. This provided them with valuable insights into the social media landscape, identifying conversation drivers and gaps in the brand's strategies. The integration of DataVinci 3.0, a generative AI, offered deeper analysis and actionable suggestions, such as identifying key influencers and pinpointing negative conversation drivers of competitors that the brand could capitalise on.
Using engaging247, the brand enhanced its social media management with features like the smart compose for scheduling posts, a unified inbox for tracking and responding to comments, and easy access to comprehensive reports. The seamless integration between listening247 and engaging247 allowed the brand to target the right audiences with the content and offers that they were expecting.
The implementation of listening247 and engaging247 yielded significant benefits for the knitwear brand. The insights provided by listening247 enabled the brand to refine its social media strategy by focusing on the most impactful conversation drivers such as materials, sustainability, and size. The company identified key influencers to collaborate with, which amplified their reach and engagement on platforms like Instagram, their most active channel.
engaging247's unified inbox streamlined the brand's social media management, allowing for efficient tracking and response to follower interactions. The smart compose tool simplified content creation and ensured optimal post sizes across all channels, saving time and resources. Furthermore, the easy-to-access reports facilitated informed decision-making and strategy adjustments by the social media team.
Overall, the integration of these solutions helped the knitwear brand increase its visibility and engagement, resulting in improved competitive positioning and a stronger social media presence. The brand's ability to differentiate itself in the knitwear market was significantly enhanced, leveraging data-driven insights to drive strategic social media initiatives.
By utilising engaging247 and listening247, the knitwear brand transformed its social media strategy, achieving a comprehensive understanding of its brand health and competitive landscape, which ultimately led to increased brand loyalty and market share.
