We use data mining and predictive modelling techniques to target customers with better communications and make marketing more profitable.
Which Marketing channels are profitable and which offers are working best with different segments
segmentation-lynchpin_small

Understanding your customer behaviour is essential for business success. It is more rewarding to segment your customers and forecast their requirements and interests based on the data you hold. Increasing customer satisfaction and CRM response rate.

We can use a host of predictive modelling techniques to identify patterns across data sources. Merging 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. Making your marketing more profitable and allowing you to fine turn services across the board.

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

Lynchpin 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.

Lynchpin can give your an accurate assessment of channel impact giving you the control to adjust where you spend your budget and optomise performance.

Econometrics Modelling looks at the impact of offline media channels including, still highly influential and important high reach media such as TV, radio and display. Also taking into account the external influences of seasonality and competitor activity on brands.

Looking at data from a longer time frame than attribution modelling Lynchpin can apply a predictive sales model  to measure the correlation of media weighted against sales.

We can  measure how successful campaigns have been and forecast future performance using “What If” scenario planning to set optimal spend levels.

Combined use of econometrics and attribution can give you valuable insight to inform your entire marketing strategy and ROI across channels.

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

Use historical data to see how sub-segments have previously responded.  Decide which customers are best to target with a particular product or offer. Understand 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 data sets even a small increase in positive reponse can yield high monetary gain.