Why you need a product taxonomy

Product taxonomy is a structural organizing of all the available products in such a way that it makes easy for the customer to find the product with less effort. It is similar to a departmental store, which organizes its products into certain areas, in order to help customers find what they are looking for. In simple words taxonomy means organizing, categorizing, grouping the products, by e-commerce sellers to make buying process easier for the customers.

ECommerce industry is growing at a lightning speed. More and more people are joining e-commerce industry. Most importantly if you want success, then first you have to learn the tactics and strategies of online business, which will help you to draw more customers and sell your products faster. Taxonomy is one of the strategy which will take you up the ladder of success.

How Product Taxonomy can boost sales?

It is clear that if information is not clear, properly categorized, website visitors will rarely continue to try and find the products they want. You cannot avoid product taxonomy. It is the ground level work. It has to be done to prevent users leaving the site before finding what they want.

Taxonomy places your products hierarchically. The customer, during browsing /searching for the product, move easily through all levels to find exactly what they want. Searchers know exactly what they are looking for. They are more specific and expect to find exactly what they want.

Why Taxonomy Development is Important?

Product taxonomy can change the game of your business. So you have to creatively categorize your products. People use different ways and different keywords to search for the same product. So as an only e-store owner, you have to identify those ways and words and then apply taxonomy on your products accordingly.

Every estore owner dreams to bring his business on the top of search engine ranking. This is achieved with proper taxonomy.

Taxonomy also has a big impact on internal decision making. Strong analytics are needed to know which products are selling and which are not.

With right taxonomy technique, you will make it easier for your customers to locate the product they want to buy very conveniently. This will help you in winning the loyalty of customers. Customer’s loyalty is a fortune to your eCommerce business.

Taxonomy combines product information with consumer browsing habits to create an efficient navigational structure. It provides easy navigation. Easy navigation plays a huge role in boosting your eCommerce sales. Easy navigations will make your customer to keep coming back to you again and again, whenever he would like to shop online.

Pull up :  Building or improving your taxonomy directly leads to increased traffic and sales. Well developed taxonomy not only satisfy your customer but thrills them, by allowing them to find and consume rich product. Well structured taxonomy will bring changes in your business and also you will love the increase in your revenues. Taxonomy is beneficial to both customer’s and owners.

Product data enrichment—best practices for B2B and B2C SaaS

Product data enrichment is about providing clear and complete information of your product. Customers visit your website but within no time they leave the site; as the data available of your product doesn’t keep them engage. The information of your product may not be relevant and acceptable as per customers need. This is here the product enrichment plays its role and helps the online owners to convert visitors into customers.

 Usually we come across the websites sharing a product with only text description or photo. Product enrichment helps by providing more details of your product; like color, size, measurements, product related accessories etc.,

Advantages of Product Data Enrichment

  • It helps the customer to understand the product completely with all updates.
  • Aids in increasing the engagement time with the visitors and converting them into customer.
  • It helps in the decision making power of the buyer.
  • It creates a reliability image of your product in the eyes of the buyer.

The Best Practices:

Data enrichment is a critical part of master data management, allowing users to have confidence in the information guiding their actions.

       Data enrichment facilitates faster product discovery, accurate search results and rich experience. Online stores have to enrich their products with the required content that includes relevant images, product descriptions and videos.

  • Category details : This simplifies search and sort products in the correct categories.
  • Certification : Labeling products with the correct certification will help users find product easily.
  • Size detail : For fashion products enrichment can be done by adding size details; which will facilitate easier decision by the customer.

       We can add relevant tags or information to products or catalogs to help users find relevant products easily. Such activities help Online Store in different ways like :

  • Customer can find the right product faster.
  • When products are labeled with correct values, they replace the fake products in search ranking.
  • It also improves customers experience and wins customer loyalty.

Higher Search Engine Ranking:

 When product catalogs are filled with rich product descriptions, it gets easier for search engines to sort and rank, these products higher. And so these search engines depend on alt tags, attribute values; and also other relevant information for ranking a product higher in search result.

Global Standards:

 ECommerce owners should make sure that no fake products are pushed through their platforms. So, Brands like Adidas and Nike are going behind market places that allow sellers to sell fake products. With product enrichment online stores can easily identify real products and label them with the necessary tag and display genuine products on site search result.

Influences Conversions:

The main motive of product enrichment is to provide good customer experience. If the product has all the details clearly laid, then surely the visitors will convert into loyal customer.

Boost Sales and Revenues:

The study shows that one in three customers are likely to never shop from a store after just one bad experience, which means a decline in sales and revenues. Also Data enrichment improve customer experience which leads in boosting sales and revenues.

Product Discovery:

Product discovery is the event where customers find their desired product. A faster product discovery can make or break a customer view point towards your store. This will also add on to revenues.

Pull Up:

ECommerce stores will continue to innovate; and bring in facilities to impress customer because of increased online competition. Product enrichment will play a vital role by offering quality customer experience; and quick pleasure for ECommerce success.

Things you need to do after launching your eCommerce website

The real work begins after launching e-commerce website. Many businesses launch their website, but very few succeed. Once the site is set up there are several other things which should be ensured, so that it is ready for the users.

Things you should do after launching an eCommerce website

#1. Be ready with Product Feeds:

Once the website is launched, now its time for the world to know about it. Here comes the product data feed. Product data feed is a file which includes a text based list of data from an eCommerce store. The file includes list of products in an organized way. So that each product can be displayed advertised or compared in a unique way. Submitting product data feed to shopping channels like amazon, Flipkart and others. Make sure your data is specific and comprehensive. This helps you to maximize your online exposure through product visibility.

#2. Web Analytics:

Web analytics helps in measuring web traffic. This is used as a tool by eStore owners to assess and improve the website effectiveness. Google analytics alone is enough to receive traffic statistics. This helps you to know 1. How many people are visiting your site. 2.where the traffic is coming from ?.

#3. Webmaster Tools:

Google webmaster tools [GWT] is a free service that helps you to evaluate and maintain your website’s performance in search results. It offers you valuable information that can help you in marketing. Also tells you which queries are driving the most traffic. It allows you to know about the website security compromises and to eliminate the same.

#4. Improve the Content:

Keep churning out the new content. Nobody wants to visit a stale website. So keep producing a steady stream of content to keep the site relevant and current. Make your content simple and clear. It should be accessible to a wider audience. High quality and informative content boosts the search engine ranking, resulting in driving massive traffic to the site. So it is well said “content is the king “.

#5. Improve the Site Speed:

Site speed is one of the main factors for ranking websites in the search engines. Searchers hate waiting. Check the loading time of the webpage, if it takes more than 3 seconds to load than there is need to make the website lightning fast. There are many tools available to make the site faster. Such as web page test, google page speed, yslow and others.

#6. Promote the Website:

Online marketing has become so popular and successful that businesses are spending more on promoting website. Promoting the website via social media, SEO, promotional ad’s content marketing are more commonly used platforms. Having a blog on your website can increase your ranking on  search engines. You will get both exposure, traffic and social media share.

#7. Social Media:

Social Media is the most influential tool for any type of business, whether it is online or offline. It helps in connecting with the customers and driving them back to the website. Do some research and find which social media helps in driving more traffic to the site and increasing the conversion ratio. Online stores with the social media presence such as Facebook, Twitter accounts, has 32% more sales than the average store.

#8. Optimize Search Engines:

Website optimization is essential to make it more easily found by search engines. Using of relevant keywords through out the website content can do wonders. while dealing with eCommerce store ,customer rush online can slow down the search engine. So it is essential to optimize the search engine performance for a hassle free trading. Make sure to optimize the website content for local search, image search and voice search.

#9. Google Search Console:

Google Search Console is a free service offered by google. It helps to monitor, maintain and any difficulty the website is facing. Google search console helps to understand how Google sees the website and can take specific steps to improve the ranking. It also points out internal errors, if there are any. This is an extremely valuable tool to set up on the website.

Conclusion:

Launching an eCommerce website is not an easy task. What you do after the launch really determines your success. Keeping up the business website is an uphill task. But the above mentioned tactics can truly change the game.

Data Normalization and Its Importance

All about Data Normalization and Its Importance

Advancement in technology and the changing work pattern within organizations has led to an increased importance for data management. Companies are building databases that are helping them collect, store, and analyze information. When it comes to bid data, another term that is widely used is data normalization. In this blog, we will understand more about data normalization and its importance.

Data normalization can be defined as the process in which data is organized in a way through which data users can easily analyze the data further. Data normalization has several applications. For instance, data normalization helps to get rid of any duplicate data. This reduces any possible redundancies which can adversely affect the data and enhances the capability of efficient data analysis.

Data normalization also helps to group the data together. The data that relates to each other is clubbed together into a single group making it easy to view the entire data at once. Sometimes the datasets have conflicting information. Data normalization helps to resolve all the data conflicts before any further analysis. By using the data normalization process, one can convert the entire data into a specific format which is simpler to read and analyze.

Now that we know about the applications of data normalization, it is time to understand the importance of data normalization.

A well-functioning database must go through the data normalization process. By why you ask? As discussed earlier, data normalization helps to get rid of all types of data defects and makes it easier for the users to analyze the data. Since the defects can occur at all times while the data is modified or updated, data normalization must be carried out regularly.

If a company does not use the data normalization process, then although the company would gather data, most of the data would be unorganized and unused. The data would take up most of the space and will not be of any benefit to the company. And since there is a lot of money invested in data collection and database designing, unused or misused data can lead to serious financial losses.

In addition to rectifying any data anomalies and faster analysis, data normalization offers several benefits to the organization:

  • Databases take up less space – Although technology advancement gives bigger data storage options, data normalization offers ways in which lesser disk space can be used for storage.

  • Enhance performance – Databases that are not unnecessarily loaded can lead to faster data analysis and increased performance.

  • Faster data upgradation and modification – Since the data anomalies are rectified, data can be easily updated and modified.

  • Data can be used to improve an organization’s performance – Company can look at the data to understand the company’s performances in different departments.

  • Can be used as a business intelligence tool – Data normalization can easily cross-examine the data coming from various sources.

Data normalization process works wonders for data scientists, business analysts, and people involved in database maintenance. It is considered to be one of the most necessary processes to be carried out by every company that deals with large data collection, storage and analysis.