Target businesses searching for SaaS & financial solutions
Improve your content marketing efforts
Build user trust and brand awareness
We Are Leaders On The Market
820,000 people visit us every month looking for SaaS & financial solutions
We are the fastest growing B2B & SaaS software marketplace in the world
Let us know about your product!
Do you have a product that you think we should add to our list?Fill out the form below and let us know about it!
If you’re looking for a place to advertise your SaaS software or business then FinancesOnline can offer you a wide range of marketing opportunities. Our online marketing solutions are designed for both B2B and B2C SaaS companies and include content marketing for your software, improving brand awareness, and lead generation services that will help you increase sales. Add your application to our listing and we’ll devise a content strategy that will promote your company and let it grow as a business.
US Office: 2225 East Bayshore Road Suite 200 Palo Alto, CA 94303EU Office: Grojecka 70/13 Warsaw, 02-359 Poland
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.