We collect and analyse internal and external datasets to paint a full picture of how your social channels work together.
We’re meticulous in our reporting, and from our insights, we offer actionable solutions to it all - the good, the bad and the ugly.
We contextualise our findings to your business’ industry. Whether it’s fashion or food, freighting or farming, each industry sector has unique traits which influence the results of our findings, and we report these insights accordingly.
Metrics that matter
Media/Marketing Efficiency Ratio provides insight to the overall impact of how each of your business’ channels work together to scale your business.
Recency, Frequency & Monetary Value, otherwise known as RFM. We calculate if, how many, and when your customers are coming back.
View Through is the space between seeing your product and converting. How long do your customers need before you come knocking on their door to remind them how great you are?
Understanding the lifetime value of your customers can shape key decisions - like where to invest the most time and money at different points of the
Data science is the interdisciplinary study (though we consider it more of an art) of large volumes of data, which is analysed using modern technology. When done well, data science services provide a detailed and broad overview of a business’ raw data, which can then find trends, answer questions and predict outcomes.
There are four metrics that we focus on: Marketing Efficiency Ratio (MER), Recency, Frequency & Monetary Value (RFM), View Through, and Lifetime Value.These are the most valuable data sets, as they allow us to identify the best audience for us to retarget - which means better budget allocation.
And, vitally, these metrics allow us to understand your business in context to your industry’s market. Different industries have different markets - when we know our audience, we use it to create different targeting segmentations.
For example, if your business runs ads in different cities, one city may have a different lifetime value. From this information, we’d be able to target the city with a higher lifetime value with a more expensive product, as the data would show us there is a higher chance of conversion from that audience.
We know you know the next bit, but we’re going to say it anyway: better targeting = increase in your business’ overall total sales. Increase in your business’s overall total sales? A bit of a booh yeah.
Our data scientists use traditional correlation analysis as well as machine learning. In other words, it’s a collab between math whizzes and robots. We look through customer behaviour, spending habits, tracking tools, order value,and customer lifespan to calculate these key metrics.
Absolutely. We work with many clients who have in-house marketing teams. Our priority is to collect, analyse and evaluate - it’s then up to you if you want to take those insights and implement them into your strategy. Of course, if you’d like our expertise in coordinating your strategy, we’re more than happy to help.
The bottom line is that our data science services make your marketing strategy stronger.
With our detailed analysis, combined with big-picture thinking, we’re able to find meaningful data patterns, to then build, implement and scale to give your marketing strategy a very competitive advantage.