Innohead provides data warehousing and analytics as a service. Monitor and discover new patterns and trends in your customer base.

Sales Lead Scoring learns from data and predicts which sales leads are more likely to convert and how valuable they will be as customers. If a campaign creates an overwhelming number of leads, the call center will still touch the most valuable individuals. Feed the predictions back into an online ad-bidding mechanism, to quickly get more of the good leads. If the client company does not have a lead prioritization challenge, then it is likely to have excessive sales resource capacity: Use lead scoring measures to size the sales resources to match the volume of good leads. Read more.

Proxy Leads. Find the top 10% best customers in your database. Then target their geographical neighbours.

Customer Lifetime Value. Calculate the present value of each individual customer and target CLV in marketing optimization. Read more.

Uplift Modelling determines which customers should be touched by a marketing campaign. It focuses effort on customers that can be moved by a message, all the while avoiding customers that would react negatively, not at all, or would have come in anyway. Customer Lifetime Value measures can help determine if value is destroyed by emailing too frequently. Read more.

A Product Recommendation Engine traverses customer transaction histories. It may conclude that customers who buy product A and B are more likely to buy product C. Create personalized marketing campaigns that utilize customers' individual transaction histories.

Churn Prediction helps identify which customers are more likely to exit. Monitor trends in customer outflows, such as geographic, demographic and product attributes related to exits. Churn scores are a natural key component in automated anti-churn marketing efforts.

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