Qubit is a customer feedback and reporting solution. It’s designed to analyze data from your site and give you important data on how it’s progressing. This includes checking on customer trends on shopping, visits, and subscriptions to different promotional offers. With a concise report that considers social proof and A/B testing, Qubit gives you a detailed picture of your business.
Qubit breaks down and analyzes customer-relevant data. It analyzes consumer behavior about your products and services. You can view which promotional offers or packages are being purchased frequently, as well as see how many customers view a trending item and emphasize it as a bestseller. The data can then be used to have Qubit highlight the best deals based on your customer’s opinions.
When it comes to business, consumers are the most important assets. Recognizing this, the developers of Qubit have focused on several core features that focus on what the customers want or need. These features include adaptive targeting, persuading behavioral changes, recommendations, and social proof.
Adaptive targeting lets you change the setup and segments on your site according to your customer’s needs. The solution can adjust itself to suit different searches for items such as recommending additional clothes or related promotional deals. You can also improve interactions by sending new offers or history-based search suggestions. This way, a new experience can be provided to all clients no matter how many times they log in.
Another feature is web personalization. Working closely with adaptive targeting, you can change the site to offer new deals such as holiday packages. Any changes can be made from large-scale design alterations to quick content editing. Both features can be used together to upsell and suggest discount offers based on customers’ search histories. You can even highlight your bestsellers.
Social proofing also helps the solution in improving your business. Popular products are automatically displayed along with their number of views, review rating, and the number of transactions. This way, you can create urgency and encourage purchases. You can also use it to check customer trends and track which ones are the bestsellers.
You can also reduce bounce rates by automating an offer to pop up whenever your customers exit the page. Different types of offers can be shown, ranging from useful-but-obscure products in your catalog to discount offers. A variety of these can be made by having the system monitor each customer’s profile and recommendations.
Concise Data Reporting
One method of data reporting that Qubit uses is the A/B testing feature. Any variables in your shop can be used to see how they influence each other and the whole site. You can check how much revenue each product brings in and which offers increase its selling power. When finding underperformers, different segments can be created based on the data to improve its potential. You can also apply this to customer feedback or reviews to see how much they actually affect your sales.
If reassurance is needed, you can use Qubit’s statistics engine to validate your findings. The engine can be used to accurately predict the amount of revenue gained or lost from previous experiences. You can also set up metric indicators such as the number of views or email sign-ins to create goals for future sales.
Once the desired data is acquired, you can integrate it with various business intelligence (BI) services. You can add in either online data such as views and profiles or offline data such as customer service and memberships to observe their behavior. Afterward, you can send them to the BI platforms to further analyze the progress of your products.
Feedback and Solution Improvement
The last piece of Qubit’s consumer-based programming is its feedback and improvement function. The solution uses this feature to gather important consumer data directly and adapt the system as a result. This is especially true for adaptive targeting which relies on their behavior to promote the products your customers want to see.
A feedback form can also be created. You can classify the feedback form into different types of concerns, such as those regarding pricing, checkout, or availability. Once you get the data from your customers, the system can summarize the information to show you a general idea of their responses. This comes in the form of a point system that can classify each answer as a negative, positive, or neutral response.
You can also create surveys to check customer trends. Engaging new questions such as their favored style of clothing or brand can be sent when they start searching for those products. You can tailor this to several different items to see their behavior.
Once all the information has been gathered and analyzed, you can automate the system to act accordingly. It can track and trace each click of your clients and relate it to a corresponding service. It can then use this data and the customer’s prior history to offer smart suggestions or offers. Through this, It can connect different shop segments and bring them to the right people at the right time. You can even have the system focus on a certain group or demographic to highlight the bestselling deals for higher revenue.
Qubit focuses on consumer-based marketing data and feedback such as search histories, customer profiles, and their purchases. This is translated to the system sending out recommendations, offers, and discounts based on what they have been searching for. It can also send out feedback forms and surveys. This way, you can track the trends and needs of your online consumers without the difficulty of breaking down complicated data.
Qubit lets you purchase either a mobile or a desktop program to monitor your shop or business. Demos for both can also be downloaded. If you choose to buy the actual program, you need to contact the developers and negotiate a price.
Qubit Pro is the desktop version of the program. It works on any computer connected online and focuses on e-commerce and marketing. It employs a revenue-per-visitor (RPV) system. It is recommended if your company or business wants an efficient and adaptive solution to track and adjust to consumer trends. It has the following features:
- Shop segmentation – Several parts of your shop or service can be connected in segments to create a seamless navigating experience.
- Feedback forms – You can send feedback forms regarding their opinion of the site or of the products.
- Personalized offers
- Third-party integration – You can integrate with several business intelligence programs for further data breakdown and analysis.
- Abandonment recovery – You can send thank you messages and notices about previous purchases to entice customers back to your site.
- Statistical reports
- Customer-based recommendations
- Cross-channeling – You can connect different parts of your site based on popular clicking points to check out different segments.
- Contextual offers
- Badging – You can label different products as bestsellers or trending to encourage further sales.
- Bestseller promotions
- Exit offers
- Customer profiles – You can track your clients and see their preferences or status as new or returning.
- Data storage
- Social data reporting – You can add details to different products in terms of its number of real-time views and sales.
Qubit Aurora is the mobile version of the program. It works on any mobile device and alters your mobile site depending on your customers’ preferences. Stated another way, it changes navigation by using predicted browsing to see their data and act on it. You can change how it works on mobile to provide a new experience different from all desktop programs, even Qubit Pro.
Qubit is a feedback and data management program designed for online shops and services. It has several features all based on consumer navigation which includes tailor-made marketing, exit offers, and survey forms. Its standout features include the automated shop segmenting and customer-based product promotion capabilities. This software solution comes in handy if your company provides services based on real-time trends.