NLP solution to transform customer reviews into actionable insights, providing valuable feedback on brand perception and product sentiment across social media platforms
Transform customer reviews into actionable insights, providing valuable feedback on brand perception and product sentiment across social media platforms
Challenge
Expedite data analysis and unearth marketing insights promptly
Solution
Implementation of machine learning for marketing revolutionised the client's approach, empowering them to capitalise on data-driven insights and maintain leadership in the beauty industry
Technologies and tools
BI, NLP, Amazon Comprehend, S3, AWS Glue, Amazon Athena, AWS SageMaker, AWS Redshift, PowerBI
Client
Our client, a leading global beauty enterprise specializing in hair and skin products, has a widespread clientele spanning the globe. Despite their frequent product launches and vast reservoir of customer data, they grapple with the laborious task of collecting, analysing, and deriving insights from product reviews.
What did we solve
The multinational nature of their operations compounds the challenge of sentiment analysis, currently undertaken manually, draining valuable time and resources, and resulting in missed opportunities for valuable insights. Recognizing the imperative for efficiency, the client's marketing team sought to leverage the potential of AI and machine learning in their marketing endeavours.
27AI was enlisted to harness the power of AI and machine learning to achieve the client's marketing objectives. The primary challenge was to expedite data analysis and unearth marketing insights promptly.
Our technical team was tasked with:
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Streamlining data collection and analysis processes.
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Delivering accurate predictions of customer behaviour.
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Extracting actionable insights from customer data to optimize marketing and advertising strategies.
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Implementing Natural Language Processing (NLP) models for swift and effective multi-language sentiment analysis.
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Identifying beauty influencers for potential collaborations.
What did we achieve
27AI was chosen for its extensive experience in AI and data science, particularly in developing machine learning models for marketing, coupled with proprietary social media analytics tools, ensuring seamless integration and rapid deployment.
During the project planning phase, we meticulously gathered the client's requirements, estimated timelines, and mitigated risks, devising a comprehensive strategy.
To maximise the utility of their data, we integrated custom AI and ML models into their platform, enabling precise analysis of customer behaviour and targeted segmentation for advertising. Machine learning models facilitated tracking of engagement metrics and content performance, guiding informed decisions on ad placement and content strategy.
Furthermore, our team leveraged NLP to transform customer reviews into actionable insights, providing valuable feedback on brand perception and product sentiment across social media platforms. These insights informed product refinement and targeted audience engagement strategies.
The outcome was a significant enhancement in data analysis efficiency, consumer behaviour modelling, and prediction capabilities. Our solution empowered the client to maintain a competitive edge in the beauty market, enabling:
Automated data collection and analysis.
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Accurate consumer behaviour prediction (up to 89% accuracy).
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Brand health monitoring.
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Multi-language sentiment analysis (up to 93% accuracy).
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Real-time beauty influencer analytics, including performance tracking, fake influencer detection, and audience insights.
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Audience insights to optimize contextual relevance and ad targeting.
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Identification of 35 beauty influencers and successful Instagram collaborations generating 8.3 million impressions within three months.
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Real-time brand campaign monitoring and improved online advertising effectiveness.
In conclusion, our implementation of machine learning for marketing revolutionized the client's approach, empowering them to capitalize on data-driven insights and maintain leadership in the beauty industry.
