Our goal is to help business-owners who have to find the best application for their company's specification. Our team can make that happen because of our experienced review specialists who analyze all elements that play a role in making an informed buying decision. We strive to prepare a detailed and objective overview of every software and evaluate its positive and bad sides. Additionally, our innovative Customer Satisfaction Algorithm™ and a broad base of user reviews will offer you a detailed look into what other people think about a product.
In our effort to prepare trustworthy reviews of popular business apps we put a lot of effort to offer you all the data you will require to make an informed buying choice. We select a wide range of services from a variety of categories and include both popular products and less known services that still give high quality of service. Additionally, we try to ensure you have knowledge about integrations between apps since today many businesses make use of several SaaS solutions and it is important to have them interact with each other in an effcient manner.
Our reviews at FinancesOnline are in all cases researched by a panel of unbiased experts who put a lot of hard work into making solid, detailed and reliable reviews that will offer our readers a useful image of all key aspects of an individual solution. We dp our best to examine reviewed services in a wide range of scenarios to identify both areas where it offers peak performance and where its weak spots 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.