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Cloud for Marketing delivers the essential building blocks for marketing success. It enables you to tackle the common marketing challenges in the most efficient and robust way.
Consumers and prospects interact with your business through different touch points such as website, mobile app, email and advertising channels and platforms. Measuring across all of these touchpoints at the same time to get a holistic analytical view is essential to know whether your efforts are going to be successful or not.
Measuring the advertising interactions over the walled gardens such as Facebook, Google, Amazon will help you to better understand the whole customer journey. Optimise campaigns for effectiveness by knowing what actions your prospects take before making a purchase.
Enhance the ROI of your data infrastructure and benefit from your customer insights by turning them into (preferably automated) actions. Trigger these actions in a timely manner when it's relevant to the customer.
Customers demand seamless interactions with your brand across all channels and devices they are using. Collecting customer data and merging them into one central analytical view gives you the opportunity to decide what you should communicate, also per channel. So this also allows you to activate one campaign across all marketing channels and, as a result, to create experiences and interactions that are consistent, easy, and relevant.
Marketing funnel demonstrates how to target prospects at different stages with different tactics. As prospects enter or exit at any stage of the marketing funnel, one-message-fits-all is no longer applicable. Meet the customer expectations when they reach out to you by matching purpose with their intent. Choose the right strategy depending on the stage they are in: discovery, engagement, conversion, retention, etc. Provide unique, personalised experiences for each buyer to attract new customers and create loyal brand advocates.
Enhance your marketing cloud to manage the entire customer lifecycle. Bring together data from all touchpoints to understand the customer journey, predict marketing outcomes, and personalise across all touchpoints. Prioritise targeting and flow based on Net Present Value instead of on short term conversion. Reduce Customer Acquisition Costs by targeting a new customer only when it is profitable against Customer Lifetime Value. Grow reach at the same acquisition costs by smart spending and ROI optimisation.
Free up your analysts from performing engineering tasks and empower them to focus on generating insights from data without coding. With Google Cloud it is far easier for people without technology skill sets to analyse and visualise data. This means there is less dependency on specialised engineering skills for you organisation.
AI Platform allows you to easily create, produce and deploy machine learning projects without lock-in to get a clearer picture of how customers will engage with your business. The integrated toolchain helps you to manage all stages in the machine learning workflow including training ML models on your data, evaluating model accuracy, tuning hyperparameters, deploying, sending prediction requests to your model (online or batch prediction), monitoring the predictions on an ongoing basis and managing your models and model versions. AI Platform offers advanced tooling to help you understand your model results and explain them to business users.
Benefit from a flexible and secure framework of Google Cloud to build what you need at a pace that matches the industry. Solve your marketing challenges with cloud for marketing technology that enables:
The diversity of today's marketing technology combined with the broad set of tasks that marketers need to tackle caused that many marketing teams have reached the point of tech-overload. It has become very time consuming to apply analyses and models to get all the customer information from the data. Once organisations start seeing insight from their data powered by cloud technology, they want to make it faster, easier and smarter. They want to activate the data, apply machine learning and build prediction models to create delightful customer experiences.