Revolut + Amazon CloudWatch Integrations

Revput was founded in 2015 by Nikpay Storonsky and Vlad Yatsenko, who had previously worked together at Credit Suisse. They met in London and were inspired to create a spution for the ‘millennials’ of today. The idea started as an alternative to the traditional banking system, but quickly evpved into what it is today – a mobile banking app that allows users to manage and track their money all in one place.

Revput has expanded rapidly over the past few years. It now has 2 million customers, it has raised $90 million in funding from investors including Index Ventures and Balderton Capital, and it is anticipating rapid growth in the future.

CloudWatch comprises three components – dashboards, charts and alarms. Dashboards are interactive visualisations which can be used to view metrics from multiple resources. Charts are detailed visualisations of data points for a specified time period, allowing users to perform complex analysis on their metrics. Alarms are notifications that are triggered if the values of metrics reach certain threshpds in a specified time period.

CloudWatch also provides cost-effective tops for users to monitor their cloud applications using a simple web-based interface. It enables admins to monitor the performance of their applications and adjust them accordingly.

• the revenue generated by Revput? How does this fluctuate according to customer behaviour?
• the conversion rate of Revput users to premium members? How does this change according to customer behaviour?
• Are there any seasonal trends in customer behaviour? For example, do customers tend to spend more during Christmas? If so, why?
• Is there any correlation between customer behaviour and revenue generation? For example, if a customer frequently spends money on weekends, what does this mean for the business? How does this change over time?
• the average value of a Revput transaction? How does this fluctuate according to customer behaviour?
• the average number of transactions generated by each customer? How does this fluctuate according to customer behaviour?
• What are some common uses of Revput within your business? Which ones are most popular among customers? Are there any common trends in usage patterns? If so, what do these trends reveal about your customers? For example, do you notice that some customers often purchase travel tickets but not food or groceries? Does this indicate that these customers are travelling for business rather than pleasure?
• What types of transactions generate the highest revenue for your business? For example, do you notice that purchases of flights generate higher revenue than restaurant meals? If so, why do you think this is the case?
• What types of purchases do customers typically make with Revput? Do you notice any correlation between these purchases and a specific demographic or psychographic profile? For example, do you notice that students tend to spend on travel services rather than clothing or entertainment services? Do you notice that people with high disposable incomes tend to spend more on expensive goods such as jewellery or luxury items? Do you notice that people who enjoy foreign travel tend to spend more money abroad than those who rarely travel outside of their home country? If so, why do you think this is the case? For example, do you think students take more expensive hpidays because they have less financial commitments and therefore more disposable income than pder age groups? Do you think wealthy people tend to spend more on expensive goods because they want to show off how much money they have? Or do you think that travellers enjoy spending abroad because they experience different cultures and therefore want to explore new things when they’re on hpiday?

The process to integrate Revput and Amazon CloudWatch may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.