Automatically generate content for marketing materials

Determine where brand is being used appropriately and inappropriately.

Determine the optimum target list who will respond to campaigns.

Measure value of earned social media of event brand and product sponsorship

Identify which ad marketing promotions and campaigns are most effective in driving customer traffic, engagement. Use attribution analysis to optimise marketing mix.

Personalise strategy to target individual consumers based on multiple data sources (mobile, social media, location, etc.)

Capture optimal cost per acquisition KPI through marketing mix and marketing spend analysis and execution. Typically simplest to execute through digital channels.

Automatically generate content for marketing materials

Connecting marketing data and KPIs automatically potentially empowers cross-functional team working (and broader management buy-in) through enabling stronger data visualisation.

Optimise aggregate marketing mix and marketing spend, typically focused on digital channels

Personalise product recommendations and advertising to target individual consumers who are not yet customers (according to pre-defined internal data - this may not necessarily be the consumer's perspective).

Determine and optimise the effectiveness of product or service discounts by customer segments.

Determine and optimise the channels to reach customers with certain characteristics.

Understand customer sentiment and prioritise social media messages for response. Potentially suggest automated responses to help increase agent productivity.

Conduct "digital human" conversational interface with customers in physical locations (e.g. banks such as Natwest, soul machines). The aim is to provide effectively online functionality via some form of automated, robotic interface.

Identify customer emotional sentiment in branch using facial expression analysis. This may be misleading as cause and effect are not always clear cut and the risk of false positives is high.

Identify and categorise known customers when they enter physical retail site to ensure prioritised service (e.g. alerting relationship management team to premier customers). This has to be carefully (and legally) managed to ensure customer sensitivities around product deployment,.

Being a news anchor involves the single task of reporting - essentially reading out a script. Therefore, AI can work for automating news presentation on TV and other media, using natural language generation and processing.

Manage brand reputation by scanning social media to discover references to the company or products or key individuals. This may be supported with sentiment analysis - although this can potentially be misleading (e.g. 'humorous' memes can be misinterpreted).

Learn from, analyse, and measure PR efforts. These solutions track media activity and provide insight in to what stories have appeared where, including potentially what tractrion they have generated.

Automatically tag content for library and customers: using automated image and video recognition, along with text analysis automatically recognise, classify and tag content assets and media (e.g. find all images of the product. Or tag major activities in videos).

Use facial tracking to predict identity - and potentially emotional reaction to service proposition - to support targeted customer offerings.

Context helps with marketing. So emotional states triggered by relevant content will impact on marketing effectiveness - so football on TV attracts specific product categories for example. What should go where can be micro-optimised using AI.

Create content optimised to customers and consumers, driven by data captured from multiple inputs ranging from commercial process stage (e.g. discovery or closure), web history or third party data sources.

Content marketing is distributing appropriate content (not necessarily advertising or sales focused) to potential consumers to ensure that they build a relationship with a brand or organisation before a sales pitch is made. Tools to automate and personalise the distribution of appropriate content to appropriate audience during their customer journey is potentially a powerful tool in the marketer's toolbox.

Create content optimised to customers and consumers

Musicians have historically used innovative ways to create their music, such as digital and electronic music - but the limit has always been their muse. Generative AI can be used to create songs, melodies, and instrumentation by being trained on previously recorded music. The results can be tuned to match artists' unique characteristic genre and style - for example creating music in the style of a long-dead master.

Write product descriptions and ads for diverse product portfolio. This is often used for online brochures, auction sites and content marketing.

Identifying new customer growth segments and opportunities - for example those that are underserved by the traditional operating approach. One example might be customers for whom there is limited credit history.

Find better segmentation modelling to allow for more appropriate customer management (e.g. offers, marketing techniques, life-time value management). Identify "tribes"