WEB & SOCIAL MEDIA ANALYTICS
Transforming Customer, Online and Sentiment Data into Actionable Insights
Advanced Web & Social Media Analytics
Trusted Data offer our clients advanced analytics to extract and work with the right insights to better inform social media investment, consumer trends and market insights.
Our focus is to bring added sense and rationale into social media and web strategies, so that digital and marketing functions are better positioned to track customer sentiment, understand consumer drivers and benchmark performance versus competitors. Our web and social media analytics delivery areas include customer intelligence, product analytics and campaign optimisation.
Products / Campaigns
Advanced Modelling of Web & Social Media Data
Many organisations are still failing to deploy adequate anaytical approaches to online and social media tracking, often using basic tools or scrutinising channel data independently of one another.
In fact, approximately one-third of marketers lack the tools to measure and analyse data across all customer touchpoints. The reality is that companies will fail to deliver against their strategic pillars without measuring their content marketing efforts.
Online Promotion Analytics
Optimising Product Pricing for an Online Audience
With customers better informed on pricing options, organisations are challenged to identify optimal pricing strategies across products, channels, locations and time.
There is no single right price for a product as demand, trends, customer type, customer preferences and price elasticity changes over time.
Trusted Data are particularly adept at delivering dynamic pricing to improve pricing agility for organisations supplying goods and services to customers. Our focus areas are to use data-driven pricing to help our Clients identify potential market segments, enhance their offering, and devise effective pricing strategies to drive improved market share, customer engagement, revenue and / or profitability.
We structure our solution delivery model to incorporate relevant performance assessment design and solution impact tracking, enabling our clients to benefit from an objective assessment of performance at multiple levels for added visibility on ROI.
How to Improve Product Recommendations with Ai
Though made popular through online trade and media brands, the science behind customer recommendation design is very technical in nature.
Using a range of analytical techniques, including predictive, optimisation and classification algorithms, Trusted Data develop online product recommender engines based on the Clients’ commercial objectives.
Our recommender engines can be configured for personalised product recommendations, site optimisation, real-time notifications and loyalty design, integrating a range of data, including:
- user behaviour
- user / cluster preferences
- product-level features
- merchant events (i.e inventory status, promotions and sales)
- contextual data (i.e. device and location data)
Our core objective with recommendation engines, is to integrate online data and insights for our clients, so they are equipped to drive customer loyalty, retention and acquisition.
Customer Sentiment Analytics
Leveraging Sentiment Analytics for Customer Intelligence
With many industry sectors have high customer / consumer visibility through a range of online channels, responding to shifts in customer sentiment can have a signifcant effect on reputational risk, brand value and sales.
Trusted Data support our customers through sentiment analytics to track changes in customer sentiment across areas such as customer experience, complaint resolution, consumer trends and engagement.
Our Ai-solutions in sentiment analytics are focused on delivery against key performance metrics, including responsiveness, engagement and campaign ROI.
We segment sentiment data at a range of sub-levels, including by location, channel and brand to help clients identify opportunites and threats. We enable clients to also track sentiment shifts so they can develop a relative understanding of sentiment against market leaders and emerging players.
We use a range of NLP analytical techniques to deliver beyond basic sentiment classification, offering our clients more qualitative understanding of customer / market sentiment.
Customer Loyalty analytics
Data-driven Customer Loyalty Analytics
Loyalty-based analytics focuses on fostering long-term, mutually beneficial relationships that move organisations away from segmentation-driven campaign management. To deliver loyalty analytics at scale, to an online audience, clients must turn to Ai.
Trusted Data employ Ai and Machine Learning techniques to allow our clients’ customer loyalty efforts to effectively perceive, classify and directly engage with their customers.
We model a range of attributes (and their sub-components) including retention metrics, customer advocacy scoring and purchasing habits to:
- Personalise communications to dis-satisfied customers
- Personalise online marketing communications
- Identify the right online product offers to improve campaign ROI
Customer experience analytics
How to Elevate Customer Experience with Analytics
Whilst customers live in an omnichannel world, many companies still fail to effectively measure customer experience and improve the customers’ cross channel journey as they do not integrate data in the right manner and insights are then either limited or flawed.
Trusted Data are able to leverage advanced analytical techniques to rapidly mine through billions of data points from customer journey’s to improve customer experience. We achieve this by:
- Predicting what customer behaviours lead to churn (i.e. sentiment, social engagement, purchase intent…)
- Identifying what customer experience feedback is causing reputational harm in online forums
- Helping clients better uderstand how customers are experincing each phase of the journey
- Determining what customer experience interventions are successful and unsuccessful
- Competitor intelligence- what are competitors achieving / failing at in customer experience?
- Itemising how to optimise customer interventions to improve experience
A / B Testing
Take your A/B testing to a new level with Ai
A/B testing has traditionally been constrained to hypothesis testing, due to limitations in available data and / or computing power.
It is estimated that about 15% of A/B tests have been successful.
Trusted Data are applying artificial intelligence techniques to uplift A/B and multivariate testing to not only test specific hypotheses but improve the productivity of testing programs, modelling added dimensions and permutations faster than traditional A/B testing approaches.
By applying Ai, specifically evolutionary algorithms, Trusted Data are able to test subject features for fitness, ideal combinations and to create mutations in testing features, to converge for (near) optimal designs.
Beyond just blind application of A/B testing, we help our clients better understand:
- what data to gather to test hypotheses
- what ideas can be applied reliably through A/B tests
- what reliable conclusions to draw from test results
- how to convert test results into ‘right business actions’
Customer Behaviour Modelling
Customer Behavioural Analytics
In a digital world, customer personalisation and experience separates winners and losers. It is now becoming increasingly difficult to compete online, where companies are too slow to follow track and undertstand customer sentiment, demand drivers and preferences.
Trusted Data’s approach to customer behaviour modelling goes far beyond demographic or qualitative interpretations, by observing and predicting individual (rather than global) attributes.
By deploying recommendation engines, for example, our clients can offer their customers dynamically personalised content and product suggestions based upon each past and predicted behaviour.
Our approach to customer behavioural analytics is centred on just more than understanding ‘who customers are’ and more towards how to deploy intelligent Ai solutions that re-engineer experience, offers and pricing to maximise customer value.
Web / App Traffic Analytics
Improving Influencer ROI with Ai
We have seen many clients invest signficant time and money with influencers, but partner selection and evaluation should really be driven through data.
Trusted Data help clients to verify influencer choice, ensuring that their investment is allocated to influencers whose performance metrics are solid around the Clients’ key topics and to help avoid influencer fraud.
Using analytical techniques such as OD mapping, we enable our clients to track influencers key performance metrics, so clients can measure how much their campaigns contribute to consumer engagement and sales.
Paid Social Media Analytics
Optimise Social Media Investment
With an estimation that social media budgets have doubled in the last 4 years, it is essential for organisations to acquire detailed intelligence on where their money is spent and what return it is delivering, cross channel.
Quite often, time and investment is wasted on promoting content, which performs badly and this is because marketers lack analytical insights into what paid content their audience will respond well to.
Amongst Trusted Data’s solution portfolio, we are enabling marketers to accurately predict which content to put their budget behind and to help refine content by channel / platform.
We do this by dynamically tracking key metrics and then seeking to optimise future content against the required metrics, such as cost per purchase, cost per click, cost per engagement, click-through rates and total spend.
Our Web & Social Media Solution Delivery Model
Define the web / social media target insights & performance goals
As the delivery areas within web / social media analytics are quite broad, Trusted Data’s focus is to develop solutions that are sensitive to our Clients’ business needs.
Our approach to analytics solution design begins with defining the right problem for the client, right data selection and how to clearly define success parameters, which underpin the solution modelling and deployment approach.
ACQUIRE THE right data & ASSIGN THE RIGHT solution methodology
Online platforms generate TB’s of data and our focus is to ensure the right data selection is considerate of the business case in question, performance goals and the clients’ data architecture.
This allows our clients to extract the right data in a way that is not only conducive to their IT infrastructure but will complement and support the analytics methodology.
Model & Deploy the right proprietary solution to achieve your TARGET outcome
By utilising AI & Machine Learning, we offer Clients added analytical horsepower to comb through the myriad of online data, to improve customer intelligence, market insights, offers and campaign effectiveness.
Rather than ‘selling’ solutions, we focus on the ‘promise of success’, guaranteeing clients superior performance through a more customised, analytical-driven approach.
Knowledge Transfer, Solution adaptation & impact tracking with the client
We remain to close to clients to support effective knowledge transfer, solution impact tracking and iterative refinements to solutions beyond Pilots or version 1.0
Client needs change and Trusted Data remain repsonsive to adapting solution functionality in line with such requirements.
How We Set Ourselves Apart
Web & Social Media Analytics
Trusted Data are enabling digital functions to leverage Ai capabilities, ensuring that our clients acquire and act upon detailed intelligence of customer profiles, preferences and sentiment. Combining the right data extraction techniques with advanced analytics, our clients know what to offer to whom and when, whilst being better positioned to track changes in industry trends and competitor offers.
- Flexible pricing (gain share or result driven)
- Right| Data, Methodology & Modelling
- Open source tools
- Achieving target for you
- Speedy delivery
- Guaranteed ROI
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