The amount of data available to consumer- and business-facing marketers has increased exponentially over the last decade. Data science and ML can use that data to improve marketing strategic and tactical decision-making.
Data science and ML are the latest breakthroughs in the science and art of data analysis. They offer marketers an evolving toolbox of techniques to better manage their market outcomes.
Moreover, data science is still very young. New techniques and applications are continually being developed. This is an exciting time for marketers looking to develop sustainable competitive advantages for their brands.
Data science and machine learning will improve the quality and depth of your data analysis. This enhances all marketing decision-making, increasing the return on your marketing investment.
Data science and machine learning will save you money. More analysis is accomplished in less time by automating marketing processes. This frees up time for marketers to focus on those key strategic and tactical decisions.
Data science and machine learning adjust easily to procedural changes and new data. This adaptability reduces transitional costs as new information sources are used and new operating or reporting procedures are adopted.
Descriptive analysis reveals the truths about a market or a brand’s sales. Descriptive analysis provides key summary statistics, drawn from marketing objectives, ideally in an intuitive and visually appealing format.
Explanatory analysis demonstrates causality in market behaviour. It explains the sequence of events behind a market-based outcome, for example a new customer enquiry, a product sale or a customer defection.
Predictive analysis quantifies future events of strategic interest such as sales volumes, click-through rates or conversion rates. This provides a framework for evaluating and ranking strategic and tactical choices.
Data science marketing analytics monitor and evaluate the effectiveness of marketing spend. It improves understanding of market outcomes, such as which marketing initiatives are really driving sales growth.
Data science is ideal for quantifying digital marketing success. Measuring the interaction between sales and traffic on search engines, social media, the brand website and email campaigns improves cost-effectiveness.
Data science and machine learning also lend themselves to personalised target marketing. Machine learning can apply specific marketing strategies to smaller customer segments or individuals, reducing cost per acquisition.
Every organisation with data engaging in marketing activity can benefit from data science and machine learning. It may all sound very technical and specialist, but it’s more accessible than you might think.
You don’t need to know anything about data science or management. You don’t need to learn anything about machine learning, coding or cloud platforms. And you don’t need any expertise in data privacy.
We take care of it all so that you can concentrate on executing your marketing strategy and refining your tactical moves to maximum effect. You’re free to concentrate on making the decisions that count most to you.