Our data science team can help you bring together your transaction history and customer activity data. This means you can then create a dynamic, scalable and ROI-driven propensity model. This can provide you with insights that will drive more results with less spend.
In our initial meeting, we’ll go through your business objectives and suggest the best modelling options. We can develop propensity models for first-time and repeat buyers. We can set up predictive lead scoring or create more specific models to estimate the prospect’s share of wallet. Or their likelihood to convert/churn. We can even devise a model suggesting the best discount strategies for different customers.
Our team will schedule a deep inventory of your current data sources. We will recommend and implement the most suitable data warehousing and consolidation solutions. Then we’ll start the data cleansing process.
Our team will keep a close eye on the model’s early performance. We’ll ensure that new information flows in smoothly so that you can avoid any confirmation bias in the future. At this point, you will gain access to a reliable stream of insights and can take immediate action to improve your marketing campaigns.
Propensity modelling predicts the likelihood of users, leads and customers taking specific actions. It analyses the behaviour of your audiences and compares this against the patterns of similar users. It can then predict how likely individual prospects are to buy from you. Or respond to specific types of messaging. For example: a lead nurturing campaign, a coupon offer or even suggesting a more expensive product.
An agency that specialises in propensity modelling has the tools and processes to make predictions about your target audiences. Here at Vertical Leap, we’ve built a large database of user behaviour. We can use this to compare your visitors to make reliable predictions from day one.
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