Predict the fraud activity using the Predictive power of Enhencer.
- Develop an efficient brand management strategy (revenue)
- Generate a targeted traffic (customer segments)
- Identify weakness and strength
- Increase customer conversion rates
- Customer acquisition
- Measuring the impact of the sales associated with the shopping cards and campaigns
- Self-served cloud based consultancy
- Tailored strategy development
Fraud attempts have seen a drastic increase in recent years with the increase in online businesses thus making fraud detection more important than ever. Despite efforts on the part of the affected institutions, hundreds of millions of dollars are lost to fraud each year and quite likely to increase as well. Just like a needle in a haystack relatively few cases show fraud in a large population. Finding these is not just tricky but sometimes impossible too.
Fraud detection was never this easy! Seek out the needle in the haystack with Enhencer in no time.
- Using the dynamic segmentation, find the customer segments with the highest fraud rates.
- Predict the fraud activity using the Predictive power of Enhencer.
- With Enhencer learn the features of the customer segment likely to become a fraud and take actions to reduce the frauds.
Customer Lifetime Value
Customer lifetime value is a powerful insight that provides a benchmark against business growth milestones and a vivid indication of company value in the market. Predicting the CLTV/LTV accurately is time-consuming and overly complicated. Furthermore, business needs to allocate its resources according to the predicted CLTV. Therefore, inaccurate CLTV calculations can mislead a business to allocate the resources in an inefficient manner.
With Enhencer, use CLV data to help build more accurate and detailed customer personas.
- Using the machine learning algorithms obtain excellent indicators of marketing campaign performance. Get maximum return from often limited resources.
- The predictive power of enhancer to learn the effect of certain high-level decisions on the value of customer assets.
- Using the segmentation decide what you should spend to retain specific customer segments.
Most of the time customers don’t know what else to buy along with a specific product. Personalized Recommendation can lead to more sales by providing your customers with more relevant options based on their taste and shopping behaviors. However, this requires extensive analysis of the customer behaviors from the sales/marketing data and unlike the scientific studies, human belabors are hard to predict and interpret.
Bring down the intricacy of market research data and learn customer behaviors and provide the best custom recommendations to make your customer feel special.
- Using Enhencer suggest the right products to right customers based on their behavior and purchase history.
- Provide recommendations to each of your unique customers making them feel special and more satisfied.
- Learn the customer behavior using the machine learning algorithms in the simplest manner possible.