Unlock the secrets to customer acquisition
Paired with state-of-the-art data mining tools, we trace the dynamic consumer journey from online browsing to in-store visits. Our attribution model helps you create an optimized channel mix, eradicating attribution overlap. Attribution is even given to activities with no direct traffic, such as Insta Stories, ensuring your strategy maximizes impact and drives success.
Empower your targeting capabilities
In a world saturated with messages, data is your guiding light. At Nimble, we harness transformed data from various sources to supercharge your targeted marketing campaigns. Discover the who, when, and how behind every conversion across all your touchpoints. With this invaluable insight, we craft laser-focused marketing efforts, directing individuals to the products or services where they bring you the most value.
Enhance marketing with personalized campaigns by aggregating customer behavior data across the entire funnel. Operationalize customer data to uncover insights, such as identifying the content or channel that potentially initiated the customer journey through hypothesis testing.
Elevate Your ABM Strategy
ABM campaigns are powered by pristine account data, data mining, and insightful sales clustering. By integrating MQL data with marketing platforms, we empower your sales team to redefine reporting and forecasting. Unleash the potential of operational analytics, crafting personalized user experiences that inspire and drive sales to unprecedented heights.
Procurement & Scheduling
Harness the power of synchronized data, seamlessly weaving together current and historical booking information. Imagine a predictive model that not only estimates total customer counts but also breaks them down by other metrics such as time of year, day of month or why not weather? This dynamic insight empowers precise scheduling and procurement adjustments, aligning your operations with the expected demand.
Market Basket Analysis
Unlock insights into upselling and cross-selling opportunities. Leverage techniques to discover item associations, as exemplified by Amazon’s “Items bought together frequently” recommendations when viewing a product.
RFM Prediction modeling
Measure Recency, Frequency, and Monetary value of your customer-base. Predict future customer behavior and segment customers based on these values. Customers who spend more money are likely to be more valuable and are more likely to visit again than those that have not.