We use data mining and predictive modelling techniques to target customers with better communications and make marketing more profitable.

Understanding your customer behaviour is essential for business success. If you know which marketing channels are profitable and which offers work best with different segments, you’ll achieve better results. We will help you to forecast your customers’ requirements based on the data you hold, therefore increasing customer satisfaction.

Lynchpin uses a host of predictive modelling techniques to identify patterns across data sources. We merge digital, call centre and transactional data to get an inclusive view of customer interactions and preferences.

Our analysts look beyond the obvious to allow you to create a joined-up strategy, where customers are given the best experience at the right time. This makes your marketing more profitable and allows you to fine-tune the services you deliver via marketing initiatives.

Attribution modelling is perhaps the holy grail of analytics. Which digital media channels are preforming best and driving sales?

We look at “big data” at a granular level to understand the user journeys of your customers and where conversions are coming from.

Depending on your industry, service and product, a customer’s decision might be relatively fast and conversion funnel simple or it may be complex and winding, with many more touch points to take into account. PPC, Search, email, banner advertising and social media could all make a contribution.

We give you an accurate assessment of channel impact, giving you the control to adjust where you spend your budget and optimise performance.

Econometrics Modelling looks at the impact of offline media channels including high-reach media such as TV, radio and display. We also take into account the external influences of seasonality and competitor activity on your performance.

We look at data from a longer timeframe than just attribution modelling, therefore creating a predictive sales model to measure the correlation of channels/media weighted against sales.

We also measure campaign success and forecast future performance using “what if” scenario planning to set optimal spend levels.

Combining the use of econometrics and attribution gives you valuable insights to inform your entire marketing strategy and ROI across channels.

We help you to increase campaign response rates by using statistical user data to predict those users or subscribers most likely to respond positively to a particular campaign.

Historical data shows how sub-segments have previously responded.  You can then decide which customers are best to target with a particular product or offer whilst understanding which marketing messages are working and the best time to serve various user groups.

These models can be continually refined in order to grow loyalty and provide the best customer experience. With large datasets, even a small increase in positive response can yield high monetary gain.