roobykonsoftware

[roobykonsoftware]

@bobsandersonposts-blog 

Ray-Ban Sunglasses reduced by 90%

[roobykonsoftware]

@bobsandersonposts-blog 

ok

[roobykonsoftware]

Why Cross-Border E-Commerce Is the Future of Online Selling - Preview of the Article

Cross-border e-commerce provides a wide range of opportunities for a business to grow. To apply the best practices in your startup, you should analyze the up-to-date trends, the situation on the market, and the economic development in the region where you would like to promote your goods. Keep in mind that with the opportunities usually come the challenges and you need to develop a strategy to deal with them.

Among the fastest developing regions are the countries of Central and South America. It is connected with the growing number of Internet users and access to popular online shopping platforms. Among the online marketplace solutions working in the region, the most popular ones are Amazon, Alibaba, and eBay. In Asia, China holds the first place. According to the latest forecast, the number of middle-class citizens will have reached the point of 630 million citizens by 2022. Australia is also among the top three countries with fast-developing e-commerce. The most promising here is online clothing marketplaces. More information about it you'll see there.

[roobykonsoftware]

About Roobykon Software

Since we founded Roobykon Software in 2011, we’ve grown into a rich community of highly-developed professionals and like-minded teammates.

The result is that together, we have the skills and experience to really understand the needs and ambitions of our customers, and to realize those ambitions through the marketplaces we build together.

 We have ready solutions for you:

- Rapid MVP development from scratch in a tight deadline and limited budget

- Open source cost-effective custom Marketplace tailored to your needs

- Project, Service, Booking or hybrid type marketplace development like eBay, Amazon, Airbnb, Uber, Booking, BlaBlaCar, Upwork.

 At Roobykon, we’ve also invested heavily in understanding the wider environment in which your marketplace operates – from the search engines that enable people to find it, to the ‘marketplace of marketplaces’ in which it will compete. This industry knowledge means that we don’t just implement your idea – we provide expert guidance towards its success.

https://roobykon.com/

[roobykonsoftware]

OUR RECENT WORKS

We have successfully delivered over 120 web development projects fully optimized and quality assured. You can see our most recent works in Roobykon portfolio using the filters to easily find the type of services you need. You can be sure that the delivered result will possess the top quality, and will be fully maintainable and extendable over the long term.

Roobykon Software team is a community of top notch professionals who can take the project from the very beginning and successfully lead it to the release within timeframe and budget.

[roobykonsoftware]

An Advanced Search Algorithm For Collaborative Marketplaces

Which transaction workflows are best for service marketplaces?

Collaborative marketplaces, from big beasts like Airbnb to a local site for river boat rentals, has at its core a search and filtering engine to present the potential customer with the most relevant results based on his or her needs. But how do we ensure that this potential customer sees the results most likely to lead him or her to make a transaction, especially when the search, based on the strictly-defined filtering criteria the user has set, does not yield enough results?

To help answer this question, Roobykon Software have some insights from the team at Cocolabs, who created the awesome Cocorico engine for on-demand and service marketplaces – and made it available open source.

The majority of startups that decide to base their implementation upon the Cocorico engine naturally want to maximize the number of search filters available to their users, in order to help them obtain the most accurate possible results. But this is a mistake. What has been true in the economy of the web as we’ve known it so far with ecommerce doesn’t always work in the sharing (or ‘on-demand’) economy. The consumption habits of typical visitors to ecommerce sites cannot be applied to the sharing economy.

Is the problem a severe one? Not at all – we just have to do a little bit of math.

Let’s take as example a search based on geographical criteria. The user will naturally select the locations that he or she feels will be most convenient – but these locations may not be served by any suitable suppliers. Here, the Cocorico engine also looks for results that are outside of the specified areas but which are likely still be to accessible to the user.

The more the options there are for the user to add lots of search criteria, the more likely it becomes that no single available result will match all specified requirements.

Of course, in an infinite universe, it would be great to offer the user a result that corresponded to their exact desires – that, after all, would give the greatest likelihood of a transaction workflow. But in the finite universe that actually exists, giving too many options leads to a high chance of having nothing to offer at all.

There is a risk that automatic extension of the scope of the search could lead to results that aren’t relevant, and so compromise the reputation of the platform in the eyes of the suppliers using it. But as long as users are made aware that their results are being augmented with others that could be useful to them, the likelihood is that they will be pleased to receive additional, helpful suggestions.

Cocosearch – an advanced search algorithm by Cocolabs which seeks to provide the potential customer with the results most likely to lead to a transaction – therefore proposes to look at the problem for the opposite direction, rather than trying to live with an unsuitable approach. In order to maximize the probability of finding a satisfactory result for the user, the engine offers a range of choices of varying quality, and arranges them into a ‘virtuous circle’, with the most relevant results near the middle and less relevant ones towards the edge.

Isn't it great, this sharing economy!?

[roobykonsoftware]

Ensure Customer Satisfaction & Boost Conversions With Cocosearch

Service Reliability Always, Customer Satisfaction

Ecommerce sites always focus on satisfaction of needs of the client and compliance to search being able to fit potential customers’ search requests as close as possible. This is a well-tried-and-tested way to lead your customers down the sales funnel by giving them exactly what they want at the most appropriate moment. Different ecommerce sites use different targeting methods, but, usually, they need to target one or a couple of specific market niches.

Everything’s a bit more difficult with service marketplaces, where a variety of products from all sorts of different niches may need promotion in search engines almost all at once. Moreover, housing a number of suppliers ‘under one roof’, the marketplaces’ ability to direct customers towards the sales funnel is hindered.

Cocolabs have been testing out search algorithms in many completely different digital environments to provide an efficient way for commercial players to correspond with specific service marketplaces’ requirements. The result is Cocosearch based on authentic Cocorico engine, which is overviewed by experts from Roobykon Software further in the article.

Mark 1 (the initial generation of the algorithm)

The initial incarnation of the algorithm took the way ecommerce resources usually target customers in search engines and applied it to the marketplace structure. The solution was intended to deliver the results customers eagerly expect to come upon online, though. It was initially based on ranking by the closest geolocation and date of the product’s availability. The issue appeared, though, with suppliers not necessarily taking into consideration all the requests of the service.

Mark 2 (the second generation)

It was a bunch of hundreds of processed transactions before the issue was indicated and we decided to enhance the algorithm. This time around, it was configured to promote results with the availability date specified by the product vendor directly. Previously, marketplaces based on the Cocorico engine generalized the availability by this aspect, but the second incarnation of the algorithm allowed vendors to specify dates manually when they wish to work on the prominence of their search results.

Final solution - Cocosearch

The ultimate conclusion we defined after all our initial attempts is that bringing customers closer to the sales funnel in a faster manner depends in huge part on the platform suppliers’ responsiveness and correspondence with technical requirements. Thus, with the final incarnation of the algorithm, we targeted the historical behavior of the involved vendors, putting the following aspects in the core of our solution:

Geolocation

The list of returned results based on the closest to the specified location proximity of the product, which is subdivided into the exact results (full correspondence with the specified location) and approximate results (products available somewhere in the customer’s vicinity).

Availability

Upon searching by date, the previous list is divided further into the proven availability results (which match the specified dates precisely) and the undetermined availability ones (with unspecified dates).

Platform rating

Each listing included in the 4 bodies of results are then rated according to:

Listing fullness. Or how full the information specified in the listing by the vendor is - the size of the product description, pricing, attached images, and other aspects.

Profile fullness. Or how informative the vendor’s profile on the platform is (description, images, etc.).

Profile ranking. Or the ratings given to the vendor by customers. Extracting the average score for a specific supplier, the engine prevalently ranks down mediocre vendors, considering the good ones as a standard of the proper service distribution.

The latest calendar update. Calendars that are updated on a regular basis indicate responsible vendors prone to answer requests eagerly.

Fully provided services for the last 30 days. The more recent bookings there were closed without cancellations or refunds, the more a supplier is involved with the market regularly.

Message response rate. Cocosearch divides the number of messages a supplier sent by the total number of received messages and boosts the rating of highly-responsive vendors.

Acceptance rate. The number of completed orders and accepted claims.

Transactions success rate. Bookings with the authorized transfer against all the bookings that took place in total allow calculating this rate.

Speed of response. The most responsive vendors are surely favored by the algorithm, which calculates the time between the last received message and a vendor’s response to it. Nothing is considered if messages are completely ignored.

‘Certified’ status. Vendor may provide authentic certificates, which can be attached to the rankings by an admin, boosting the overall algorithm rating.

Newly-arrived supplier bonus. Welcoming new providers to the marketplace, the algorithm boosts the ratings of positions that were added to the listings no more than 30 ago.

Random bonus. 5% of listings get a random bonus to motivate poorly-ranked vendors and boost their number in the algorithm.

Summary

Conversion rates along with the level of customer satisfaction are the key points of leading the sharing economy based platform to the ultimate success - those parameters bring your business the increasing long-term profit. If it is a collaborative platform, however, standard practices that centralized commercial resources use may not fit the gathering of individual vendors, all of whom have their own interests and tendencies of doing ecommerce business. As a result, the overall responsiveness of the platform suffers.

One of the major purposes of our algorithm is to define such status undermining vendors and demonstrate their unreliability in search results, affecting their decision to be more responsive and to do better with their service as a whole. Customers need utter reliability, especially when it comes to making purchases online via collaborative marketplaces.

With that being said, the global approach to the principles of sharing economy must be revised and the participatory type of economy should be taken heed of. This concept allows making one’s customer audience’s lives easier, making the need for them to search continuously for better commercial opportunities obsolete. And service marketplaces can already start to provide the almost effortless purchasing options for consumers, paving the way to the future of advanced and perfect commercial service online.

The global audience of customers changes - their psychology, their approach to doing stuff online, their perception of convenient service - all of these traits evolve by the day. And if you want to have an ability to keep up with the times and stay flexible with your business, you may get the gist of Cocosearch offers.

[roobykonsoftware]

Building A Transaction Workflow - Cases For Service Marketplaces

Which transaction workflows are best for service marketplaces?

When it comes to service marketplaces, classical transaction workflows just don’t work. In e-commerce marketplaces, managing stock is relatively easy, since it’s controlled by a single management team. In contrast, service marketplaces require availability dates and times to be dynamically maintained by service providers often made up of many individuals. As a result, those tasked with maintaining such marketplaces face uncertain provider reliability – and this calls for a new approach to the transactional workflow.

The models first proposed by service marketplaces presented the following workflow:

Customer makes a request to the provider.

Provider accepts the request from the customer.

Customer receives an acceptance message.

Customer pays for the services.

Provider receives the payment.

Provider fulfills the request.

A workflow along these lines is used by the majority of service marketplace solutions.

But this workflow has many flaws, not least the lack of a trusted third party to help prevent fraud and create an atmosphere of confidence. It also has the inconvenient aspect of requiring the customer to be involved twice: first creating a request, then, only later once acceptance has been received, making payment (steps 1 and 4).

Roobykon Software has discovered the optimal solution earlier found by Cocolabs, who tested a variety of different transaction rearrangements that are in use on different platforms, serving different types of customer group.

The transaction workflow which delivered the best results in terms of conversion rate, acceptance by the provider and fraud prevention was the following:

Customer makes a request to the provider by entering his credit card details, with only pre-authorization performed at this stage.

Provider accepts the customer’s request and triggers completion of the payment transaction.

Platform receives the payment to escrow.

Provider fulfills the request.

Platform releases the payment to the provider – after the service completion date and provided the customer hasn’t filed a dispute.

[roobykonsoftware]

The Launch of Cloud Application for Distance Learning

Breaking the silent note, Roobykon Software is proud to share the results of its dedication. Guys, we definitely haven't been sitting on our hands since the last month! Quite to the contrary, we’ve integrated the cloud learning application for our great Chinese partners - http://home.yincaiyun.cn/.

All our efforts were based on the open Canvas LMS made by Instructure. We achieved the back-end part through the Ruby, and Ruby on Rails framework. Also, used NodeJS as a runtime environment, Webpack as a module bundler, and Gulp.js as the wide toolkit. As for the front-end part - it’s clearly React and CoffeeScript. Eventually, we’ve gathered all these pieces together, and the hardly messed-up puzzle was finished way before the deadline.

This cloud system gives an opportunity for teachers & students to manage their studies at one place. It provides all the necessary digital tools they need and tangibly increases communication. Online courses, tests, instructions, grades - everything on one platform, on any device, at any time.

We truly hope our experience will serve an example for other creative teams!

[roobykonsoftware]

Top 5 Digital Analytics Tools for Marketing

Like most of the consumers, we in Roobykon Software prefer to try first and then purchase, especially when we’re talking about solid analytic platforms that would strongly influence the business decisions. And it seems like a horrible dream to stuck with the prepaid tangled platform and keep on trying to push out everything it can provide. At the same time, with the numerous proposals, it’s so easy to get into this trap. That’s why day by day, bit by bit we’re collecting advices out of our friends and influencers to make a final decision.

The following review of the marketing analytic tools is not pretending to be a deep research, but more likely the last push for those who have doubts.

So, here it goes:

1.Google Analytics

Now, this is an awesome platform to start with, and for most of us, it’s truly a way out because it’s free. And what is more important it gives quite relevant information! So here are the common pros:

you can check out where your customers are coming, what site’s sections they are surfing, how often they return, and lots of other useful information;

the more you will be involved in your site's analytics, the more details you’ll get, and at the same time it wouldn’t be difficult at any stage;

incredibly robust in terms of what it offers, absolutely enough for a small business, and moreover it’s completely sharpened by them.

Overall, it’s a must-have platform, and if you are not running this on the site, you obviously should - in cohesion with other tools.

2. Woopra

Woopra is another online platform that allows you track page views and provides data about your conversion funnels. Plus, it could help you to learn more about your customers’ actions to improve website conversions. Biggest pros:

allows tracking data on your website, email, apps and more;

allows monitoring more than one website at the same time;

an ability to see visitors on your website in real time in addition to aggregate stats;

provides a live chat feature, so you can actually talk with your customers while they are on your website.

An awesome real-time customer analytics platform, period. There are both free and paid options depending on the number of functions you plan to use, but in general, this solution is a little pricey.

3. Crazy Egg

Crazy Egg is an excellent additional tool that’ll help to figure out your visitors’ engagement and raise your conversions. In short, Crazy Egg:

allows building ‘heat maps’ and, literally, tracking every single click of your visitor, so you can easily correct roughnesses in the website usability;

allows you to see what specific site blocks are most clickable and investigate your user’s interests;

helps to improve website design and boost conversions.

Moreover, there are another two solid arguments for Crazy Egg - absolutely easy to setup and has a 30-day money back guarantee on all accounts.

4. KissMetrics

KissMetrics offers a cool system that helps to find out more about your visitors, but it rather would be more practically useful for eCommerce than for blogs:

the data funnel tool helps to find website’s strongest and weakest features;

allows making necessary adjustments and increase your chances of getting conversions;

tells you, in great detail, what visitors are doing on your website, before, during, and after they make purchases.

When you need to implement your CRO strategy and make sure that your sales funnels are working effectively, Kissmetrics would come in handy.

5. Clicky

If you are starting to take your online business a bit more seriously, then Clicky might be a better option.

you get real-time analytics, including SpyView, which lets you observe what current visitors are doing on your site;

simple to use and presents all the data you want to see clearly;

one of the coolest heat maps out of numerous.

Also, a great plus is that Clicky offers a free service if you have only one website and a Pro account for a monthly fee.

INSTEAD OF CONCLUSION

All in all, before you’ll make a final decision, you should consider three critical futures - channels to process, complexity, the number of integrations.

Whether you’re doing SEO, social media marketing, content marketing, or a mix, it’s essential to have a chance to track everything from one single platform, so be aware of choosing the platform flexible enough to grow along with your appetites and able to accommodate your future needs. But at the same time, when your team is constantly struggling to use a particular platform, it can quickly become more trouble than it’s worth, and the benefits will be negated by the complexity.

And finally, be sure to look into integration capabilities. In future, it could cause serious financial losses and ridiculous downtime.