Our objective is to help company owners who have to acquire the best application for their company's requirements. Our team can make that happen thanks to our SaaS experts who examine all elements that are crucial factors in making an informed buying decision. We strive to create an insightful and objective analysis of each solution and evaluate its good and bad aspects. What is more, our innovative Customer Satisfaction Algorithm™ and a reliable base of customer reviews will provide you with a detailed look into what other people think about a product.
In our work to create trustworthy reviews of leading business apps we do our best to provide you with all the knowledge you will need to make an educated buying decision. We pick a broad range of solutions from a number of categories and study both well-known companies and less known solutions that neverthelss offer high quality of service. Additionally, we ensure you have knowledge about integrations between other solutions as these days many enterprises adopt several SaaS solutions and it is crucial to have them interact with each other efficiently.
Our reviews at FinancesOnline are in all cases prepared by a team of independent professionals who put a lot of hard work into making solid, thorough and trustworthy reviews that will give our users a useful overview of all crucial factors of each app. We make sure to examine reviewed products in a a varied group of scenarios to identify both areas where it shines and where its disadvantages are visible.
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We use our unique SmartScore™ system to evaluate all the products listed to help you get the best possible application. The total score comprises of the following elements (% show how much each component affects the final score):
Hover over the element to learn more about our ratings.
Main Functionality – rates the software’s ability to meet its main promise or USP.
Customization - Rates the software’s customization tools that allow the business to match the software’s functions to the business’ specific processes and current needs. Tools to watch include: custom reports; custom fields; custom business processes; logo insertions; and color palette choice.
Collaboration Features – rates the software’s functionalities that allow team members to work together, share documents, ideas and best practices. Includes tools such as: communication platforms (IM chat, VoIP, email, social media, phone); real-time features; attachment and association capabilities; and automatic task and contact associations.
Integration – rates the ability of the software to assimilate third-party applications and formats, especially popular productivity tools like Google Apps, Microsoft Office and Outlook and proprietary email apps. Also include connector apps that integrate the software to even more apps and APIs that allow developers to integrate their own apps to the software. May also include integration to older versions of the software.
Mobility – rates if the software has a mobile platform and which mobile OS it supports. Attributes to watch include: apps for iOS, Android, Windows Mobile, BlackBerry; mobile browser version; and specific mobile modules.
Ease-of-use – rates the level of difficulty in learning and using the software. Features to watch include: self-help tutorials; quick lookups; dashboard; drag-and-drop tools; intuitive behavior; search and data retrieval; formats and templates; and steps to perform a task.
Help & Support – rates the level of technical and customer support by vendor. Attributes to measure include: live support (chat); tickets; free and freemium support services; knowledge base support (PDF, recorded webinars, forum); and paid support plans.
Security – rates the software’s security infrastructure including the following features: enable/disable data access; password encryption; data backup; and official seals from reputable organizations that vouch for the software’s security.
Media Rating - averages the ratings by major review sites, such as: CNET, Gartner Vendor, MacWorld and PCMag.
We use our behavior-based Customer Satisfaction Algorithm™ to gather customer reviews, comments and opinions across a wide range of social media sites to help you make an informed buying decision.
Hover over the shapes to learn more
Our algorithm performs a wide-spectrum scan through all the most popular social media as well as blogs and websites to find customer reviews relevant to a specific product.
The behavior-based system collects all reviews that discuss a selected product filtering out comments and posts that do not feature a customer’s opinion about the product.
All gathered customer reviews are processed with a set of filters to extract key data from each review relevant to customer’s satisfaction including: detailed keywords analysis, social response signals and various meta data.
Collected data about users’ experience with the product are thoroughly analyzed using an algorithm that evaluates each processed factor as either positive or negative response from the customer.
After all partial data are analyzed and evaluated the system assigns a single customer satisfaction score to a product. It allows our users an easy and quick access to information on how many clients are satisfied with a product at the moment.