How to sustain strong sales after holiday spike

The holiday season or any festive season provides a big sales boost for both traditional business and online business. You should not fall victim of major sales crash once the shopping season has ended. Instead plan ahead so that you can keep sales high all year long.. There are many ways to boost the sales after holiday spike for instance allowing discounts, freebies, free shipping, coupons launch new products, run some end of season sales, retarget your best customers, remind them of their reward points and gift cards and keep them focused, as how your products will make their life better.

Ways to boost sales after holiday spike

#1. Providing Coupons :

As maximum customers make purchases during holidays, that will increase the sales undoubtedly. along with holiday purchase, you can include coupon which they can use post holiday.

#2. Be prepared for exchange:

Post holiday, business usually face full of returning or exchanging products. in such a situation we can offer a discount for customers who make extra purchase while returning or exchanging items.

#3. Showing gratitude:

Holiday sales make some business so busy that you may have missed the chance to properly thanking your most loyal customers. Post holiday is the best time to show the gratitude to the customers. offer special deals via emails do something special so they remain loyal throughout the year.

#4. Feedback from holiday shoppers :

During post holiday try to get the feed back from the holiday shoppers regarding their experience during holiday shopping feedback on the product and its quality you can also ask as what new product they are looking for ?

# 5. Continue with holiday campaign:

Don’t stop the holiday campaign, as holidays are over. There are many people who go in for last minute purchase.so keep the holiday campaign going for an extra week to boost most sales.

#6. Writing new content:

During this period of time you get time to write some new blogs or contents for your business. as the business is slow you can spend time creating new contents for social media.

#7. Launching a new product:

This is a perfect time to launch a new product. as you are not busy during this time you can fully concentrate on new product launch.

#8. Offer free shipping:

Nothing attracts more than the word ” free ”. Free shipping makes it easier for consumers to purchase online. you can also offer free shipping exclusively to loyal customers, this will encourage customers to return back for purchase.

#9. Exciting offers for first time buyers:

Exciting offers for first time buyers like cash back, free shipping, on first purchase offering discounts, helps in retaining the first time buyers for long.

#10. Don’t let your customers go empty handed:

Shopping is always attractive. the customers get excited if they get something in return as rewards. rewards have the potential to bring back old customers as well as new. rewards like offering gift certificates, cash backs, referral bonus etc.

Conclusion:

Marketing involves reaching out to customers all year round. Effective marketing and sales strategies helps you to overcome the post holiday slump. The best thing to do is to not disappear after the holiday season ends. you have to focus on both new and existing consumers to beat the post holiday sales slump.

Product Attributes

Meaningful Analysis using Product Attributes

Product Attributes

Product attributes are considered to be a concrete means of analysis of any product. For an eCommerce business, this plays an important role in analysis since the attributes define the product qualities in a meaningful way. It also describes the inherent characteristics and qualities of a product; which consumers tend to give importance to.

Attributes are what distinguishes products from each other. It includes product aspects like color, size, flavor, package type, and so on. Attributes hold significance for the consumers because it determines their purchase decision. For the business, it offer a structure and help in creating product categories. Many times, it defines the products’ competitive set as well.

In an eCommerce business, if we take products as an example, then the largest level is a category and the smallest is an item. There are several levels between category and items which are defined by them. Different attributes allow you to define various product segments and helps you to stay updated as per trend. This also makes it easy to identify the potential growth opportunities.

All the product database items are coded with different attributes. Some of them are unique to the products, for example – food and beverage products have flavor as an attribute, while personal care products have a scent as an attribute. These attributes are generally not interchangeable. Some of them are applicable to all products, such as manufacturer, brand, category, size, and so on. Once you are sure of the list of attributes, you can analyze their performance depending on what holds importance for the business and for the consumers.

Some examples of meaningful analysis using product attributes include:

1.  What is the performance of the different brands and manufacturers?

2. What is the relative pricing between sizes?

3.  Are multi-serve packages more famous than single-serve packages?

4.  What is the competition between different types of containers? E.g. cans or bottles

Product attributes are generally available at the item level only. They do not apply at the level of total products. Although attributes are important, one cannot rely completely on them. This is because of keeping consumer behavior in mind. They might not necessarily be what the company wants. In addition, not all categories use the same unit of measure for an attribute. For example, for size attributes, different manufacturers may use different units of measures.

One must remember that attributes are related to product values and consequences. The combination of consumer behavior and sales patterns helps the business to determine this framework.

Top Three Reasons to Normalize Your Data

Data Normalization

Most businesses focus on data cleanliness. Having accurate data helps to segment customers and analyze the data in terms of marketing in order to engage the brand further. There are a number of reasons to normalize your Data. This facilitates the entire data cleaning process and keeps the customer data clean and organized. Without data normalization one may face several types of data errors.

Data normalization is the process of restructuring the data to ‘normal’ in terms of data integrity. It is a key part of data management that can improve data cleansing, lead routine, segmentation, and other data quality processes.

Data normalization makes the data look clean, organized, easy to read and navigate through, and uniform across the entire customer database. Normalization includes standardization of specific fields in the customer database which brings uniformity.

In addition, here are the top three reasons to normalize your data.

1. Identifying Duplication of Data

Data duplication is a crucial problem that companies face and getting rid of duplicates is an important part of data management. Data duplication can hinder the overall customer experience. Customers may receive the same data more than once which is not very appealing. It not only impacts the sales and marketing aspects of the business, but also increases data storage cost. Normalization makes it easier to locate and eliminate the duplicated data.

2. Improving Lead Scoring

Lead scoring is defined as the process of assigning a value to specific leads in the CRM so that you can identify and grasp potential opportunities. Effective lead scoring is dependent on high-quality data and effective segmentation. For example, a B2B company will assign value to its specific leads based on the job titles as a variable. Moreover, proper segmentation is not possible without normalization. This will impact the values and business might lose out on the best opportunities. Data normalization enhances data quality and improves the process of lead scoring.

3. Reduce Response Times through Normalization

In B2C companies, customers expect faster response time for their queries. Having to feed in thousands of names along with their responses can often be time-consuming. In order to achieve an organized data, companies must have a perfect internal administration team and must use the data normalization tools. Data normalization ensures reduced response times and well-structured data.

There are specific tools that can identify standardization issues and assist in the data normalization process. And also these tools analyze the existing customer data to generate an assessment report. So, based on the report, multiple categories are assigned to help companies normalize and standardize their customer data. This is an ongoing process, which means that the business can track and fix the standardization issues as they arise. In addition, the number of data normalization errors can be limited, resulting in a high-quality customer database.

Data Enhancement

How to Boost your Marketing Efforts using Data Enhancement Techniques

Data Enhancement

Data Enhancement Techniques

Every business, be it product oriented or service oriented tends to face multiple challenges. These challenges can be in terms of production, resources, financial, sales or marketing. The marketing department of every business must work harder to satisfy their existing customers and attract new ones. This process becomes simpler with the help of data enhancement techniques.

Data enrichment, also known as data enhancement, is the process of enhancing your first-party data by completing the missing details. Data enhancement offers better insights and resources that help to implement an effective data marketing strategy. Detailed insights help in better decision-making processes and increased revenue. Data is usually obtained through various external data sources and they differ for different companies. While B2B companies use firmographic information such as employee data and revenue, B2C companies rely on purchase data or demographics.

Data enhancement provides a better ability to the sales and marketing teams enabling them to target the potential audience. Data that is correct, accurate, and organized in the right way can prove highly beneficial for right decision-making.

Business intelligence paves a way into developing effective marketing strategies. Companies are optimizing the ways in which the right data can be collected. It is important that before the data is analyzed, right technologies must be used to enhance the data collection process. Here are some of the sure-shot technologies used by businesses for data collection:

Using Internet Technology

Internet Technology

Web marketers prefer using the internet to collect their data sources. The internet data can be active or passive. For active data collection, customers are directly asked for the data that is required. And also, for Website visitor to fill in a survey that also consists of some essential personal information. This can be a challenging way to collect information since there are privacy issues related to collection of customer’s private information.

In passive data collection, web marketers do not require the direct involvement of customers. Instead, they use the information that is stored on the website server in the form of cookies. Also, Cookies help to track user history, activities, and website searches.

Using Mobile Technology

Today, smartphones have become an evident part of our lives. This means that using mobile technology for internet marketing data collection is a smart idea. Mobile data consists of a rich source of information related to customers’ shopping activities, preferences, and behaviors.

Using Online Survey Tools

Survey tools are a straightforward means of collecting marketing data. Through surveys one can achieve answers to specific questions, which are relevant to our marketing goals. This makes it possible to understand the customer’s preferences, interests, and opinions on certain products and services and data enhancement can be done.

Using GPS

GPS Technology

Collecting data using Global Positioning System (GPS) technology can benefit the local marketers. This technology helps to collect information that depicts the predictable shopping behavior of the consumers and their purchase patterns. Using GPS, we can obtain information like travel history and local competitors.

By using the information gained from the above-mentioned technology, data enrichment process can be carried out. They can be classified as three types:

1. Demographic Data Enhancement

This type of data enrichment involves data such as age, gender, qualification, marital status, number of kids, number of family members, number of cars owned, etc. Thus, it helps to enhance the performance of a marketing campaign.

2. Geographic Data Enhancement

It involves data such as postal address, zip code, office address, mapping insights, etc. This data enrichment is important for businesses to target their audience based on the geographic boundaries accordingly.

3. Behavioral Data Enhancement

This involves data related to purchase patterns, customers preferences, likes, dislikes, etc. So, it is important to understand customer behavior and provide them products and services that they would prefer to purchase.

Data enrichment is not a one-time process but a continuous one. Since consumer data keeps changing from time to time, it is important to update the collected data as per real-time scenario. If not, customers may receive irrelevant offers leading to dissatisfaction. Hence, the more updated data you have, the more satisfying results you will receive from your customers.

Benefits of PDF Extraction

Benefits of PDF Extraction

It is a common perception that copying text from PDF is an easy task, since the information is right in front of you. However, it is not that easy as you think. Working with PDF becomes difficult because of the flexibility provided by the PDF format. Not many people know that PDF was never an input format but only an output format. PDF was meant to offer a polished output to the documents.

PDF extraction is the process of reusing selected pages of one PDF in a different format. It is not uncommon for PDFs to contain a lot of textual information, and in order to acquire the entire text one must be able to extract the PDF in a proper manner. Extracting useful information from PDFs can be a challenge when there is a large number of PDF files. However, there are specific tools that enable better PDF extraction and right information recovery.

Companies that deal with a large number of repurposing activities, have started using automated PDF extraction software which makes the task easier to handle. The software is time efficient and easy to use. The extracted information from PDFs can be stored in word, excel, or various Graphics formats. The acquired information can be easily and quickly distributed with the teams. The output has all the relevant information and no information is lost.  

Here are some of the benefits of PDF extraction:

·  Lesser time is spent on recreating data, which results in increased productivity

·  Errors are significantly reduced

·  PDF extraction software make data repurposing tasks easy-to-handle

·  PDF extraction software have user friendly interface, which is easier to understand and saves time and efforts

Automated PDF extraction is an easy and time-saving process which is meant to enhance work productivity. PDF extraction works best for the organizations that need to repurpose information in various ways. It proves to be the precise way to acquire accurate information.

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.

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Advance Your Image Processing Knowledge

Read this to Advance Your Image Processing Knowledge

Today, automated image analysis has become an integral practice in multiple industrial and academic sectors. In order to analyze an image in detail, acquiring advanced image processing knowledge and skills can be highly useful.

Image processing as the name suggests is the process of editing images in a way to make them look more appealing and to identify the hidden details. Advanced image processing enhances the image in its best possible way. It is one of the most rapidly growing technologies used widely in medicine, forensic science, electrical engineering, and computer science domains.

Image processing can be carried out using two methods.

Analogue Image ProcessingDigital Image Processing
This method is used for hard copies such as printouts and photographs.This method is used for processing digital images with the help of computers.
Analysts use fundamental techniques of interpretation – Analog signalsAnalysts use three steps for interpretation – Pre-processing, Enhancement and Display.

Due to the increase in the usage of digital mediums like digital cameras, computers, mobiles, etc., digital image processing method is used more often as compared to analogue image processing method. In order to understand image processing in detail let us look at the following steps.

1. Acquisition – The first step is to acquire the image from the source. It also includes aspects like scaling and color conversion. Color alteration enhances the image.

2. Image enhancement – This is a subjective phase, which may or may not be applicable for every image. However, this step exposes the hidden features of the image.

3. Image restoration – This step makes the image more appealing and may or may not be applicable for every image.

4. Color image processing – It deals with full color and pseudocolor image processing

5. Wavelets and Multiresolution processing – In this step, image is presented in various degrees for better image clarity.

6. Image compression – This step deals with image size and resolution modification.

7. Morphological processing – This step deals with extracting image components that can describe the shape of the objects in the image.

8. Segmentation Procedure – Segmentation is one of the most difficult steps of image processing. This step partitions the image into its constituent parts.

9. Representation & Description – This step transforms raw data into processed data

10. Object detection and recognition – In this step, one can assign labels to the objects detected after the entire image processing is completed.

Artificial Intelligence (AI) has proved to have several applications in image processing. For example, helping doctors in interpreting X-rays and MRI images by developing computer aided diagnosis systems. This is a breakthrough in medical sciences, making diagnosis simpler and easier to manage.

Image is simply a two-dimensional signal; however, image processing focuses on the details and hidden aspects of the image, enhancing its usability. 

Product Enrichment1

The Complete Guide for Product Data Enrichment

Why do we need Product Data Enrichment?

Every website connects with its users through content, content is whatever you see on  your screen, text, static images, banners, gif  images , other graphics. Your business can reach users only through adequate content that describes your business and the product that you are making available for the user online. 

There are instances where the content on the product details page lacks useful information or the Item descriptions is deficient and suffers from inconsistencies or missing attributes like video, brochures and spec sheets.

Inadequacies with product content will result in losing customers to other competitive sites. With a large inventory of SKU’s, where do you begin? How do you make sure that every product has the adequate information that will convert into a purchase? This is where product enrichment tactics come in place.

Ways of Enrichment Product Data

Regular Product Data Information involves adding basic product details such as Care Instructions, Fit Type, Color, Size, and Price. But product enrichment presents your products in a manner that relates to the consumer’s choice and desire. 80 % of consumers are more likely than not to make a purchase from a brand that projects personalized experiences. 

Like using digital media assets, images and videos that showcase the product from different angles makes the user feel how the product would actually look like. 

Detail specification charts, product benefits, collaterals, pdf’s help customers looking for a product that meets specific requirements.

For more details, Brochures and Instructional manuals guide customers with technical details enabling customers to know more about the products making them sure of their choice.

Product Accessories that add value to the displayed goods with genuine recommendations is a value added service to the customers. A discount for large quantity of purchase is also a means of promoting your product.

Advantage of Enriched Product Content

Enriched product data is a critical element of a successful e-store. It enhances user online experience. Product data, which is the foundation of online retail that is complete and enriched makes data credible and is directly proportional to the effect on product search, conversion rate, SEO rankings, and user experience. 

  • Consumer get instantly attracted the product that matches his desire due to the right product descriptions with attractive special fonts bold, italic and underlined 
  • Digital Management tools such as audio, video and 2Dand 3D images gives a clear product feel for the customers making it easier and faster to make a purchase
  • Ensures that products meet the required business content standards  giving each product a consistent and standard look
  • Consumers are able to related to products that have precise and categorized information
  • Projection of the consistent brand  Image lets user identify with the product easily, giving your brand a personal attachment with the consumer 
  • Localization according to unique contents pertaining to a particular region for international markets
  • Customer ratings and reviews that help to keep track the progress of your e-store is essential to know where how your e-store is performing
  • Enriched data product enables marketing teams to understand consumer needs and behavior patterns better that we use in generating value driven user experiences that ultimately help in marketing campaigns
  • Taxonomy services categorizes the  products in a unique manner that leads to faster shopping and speedy purchases
  • Gathering Real World Data from Mobile Based Audience both online and offline personas that allow for in-depth marketing

63% of marketing professionals worldwide said the leading benefit of web and in-app content enrichment has increased conversion rates while 61 % assure the benefits of improved customer experience due to enriched content.

Altius Solutions for Content

Altius has created enriched product data for more than 20 years and has a competitive edge in delivering speed and accuracy.  Categorizing data, extracting relevant attribute values for each product and making sure that optimization with the right keywords for user search and for search engine optimization are part of the data enrichment process by Altius.

Globally Compliant Database

Altius data management platform comes with a large data repository with more than 30 Lakhs of items that is capable of handling huge volumes of data product information which is processed for duplication, authentication and errors within the search facility of milliseconds. We do consistent update of Data as when it changes over time. 

Gap Analysis

Data capture services like Gap Analysis help to measure progress by comparing actual performance with expected results. And this help in getting teams on the right track.  Progress is measured in terms of number of visitors to the site, no of clicks, no of purchases made etc. A survey by Namagoo found that product content influenced online shopping experience in out of six of ten listed.  

Content Gap Analysis

Content gap analysis is used to evaluate existing content on a topic. And also discover gaps that can bring down the quality of the content. Issues such as outdated material, unclear concepts, difficult to comprehend could be improved for better results. As a result, this makes your content perform better.  We use tools such as semRush for auditing the contents.

Product Data Audit

Altius performs product data audit for Text, Audio, Video, Infographics. These audits includes standardization, using multiple sources like Brochures, Catalogs, Manufacturer Websites and more; which make sure that data is authentic while eliminating duplication. Altius has a customized data audit tool called Data Analyzer. This tool helps to check the product information for consistency and accuracy.  

Real World Data

Real world data is capture of Online and offline consumer behaviors. This is to enrich consumer profiles with in-depth data on lifestyle needs. Needs such as food, travel, brand affinities, frequently used apps and more. Such rich profiling helps to build product content that is specific to targeted customers which helps to enhance user experiences.

Data transformation, Segmentation and Synchronization

Altius generates new sets of data by transforming the enriched data into a more relevant one for your business. Thus, creating segments to control the data for enrichment; and syncing enriched data to all the tools transforms data enrichment to  action.

strategic-bussiness

4 Product Content Solutions for Strategic Businesses

To demonstrate true ROI, Product Content Solution projects should be backed by a well-thought-out strategy that resonates with a company’s customers, personnel, and goals. In other words, any product content project that is going to be truly transformational will need to be aligned with greater business initiatives.

Here are four types of product content projects that support strategic business goals and that can help unite stakeholders from various different departments.

Product Taxonomy Development

Product content taxonomy creation is basically the process of determining how products will be categorized and organized.

Having a shared taxonomy is important because it gets everyone across an organization to use a common system to communicate about its products. This can help with accounting, operations, and sales — as well as coordinate between those functions.

To develop a taxonomy, a product content solutions provider will

• Audit the current database
• Look at incoming manufacturer product data classifications
• Review competitor, marketplace, and industry taxonomies
• Analyze how customers search for products

These findings will then inform a recommendation for a coherent taxonomy that will serve all the interested parties’ needs. Often, the hardest part of a taxonomy development product content project is making sure all these different stakeholder perspectives are represented — and getting them to ratify the final taxonomy.

Attribute and Content Modeling

Once a taxonomy has been created, a common schema for attribute and product information can be developed for products in each category. Essentially, this means deciding which bits of information need to be provided for each product as part of a standard product listing — e.g. name, photo, weight, dimensions, etc.

As with taxonomy development, attribute and content modelling needs to be done with the input and feedback from the various stakeholders at a company if the result is to reflect their viewpoints and garner team support for the enterprise-wide digital initiative.

Product Content Normalization & Cleansing

Creating lists of valid data values for each attribute, including abbreviations, symbols, fonts, and image and file naming conventions, helps standardize product content, making it much more useful for customers and internal reporting.

These sorts of details — such as where to put hyphens in an SKU, if pounds will be abbreviated “lbs.”, and whether or not prices should include a currency symbol — can make a huge difference when it comes to standardizing presentation and reporting.

Once decisions have been made regarding these approved product data values, all attributes associated with individual products in a database can be formatted (or “normalized”) to conform to the pre-ordained list of approved values.

The product content normalization process can include

• Merging data from various sources
• Eliminating duplicate products listings
• Removing discontinued products
• “Cleansing” all the content so it is formatted consistently (e.g., changing “&” to “and”)
• Identifying missing collateral information

Normalizing data in this way assures accuracy and supports basic online store functions such as filters and onsite search, as well as more advanced features such as suggested products and visual search.

Product Content Enrichment

If an online store is missing crucial pieces of product information — such as images, MSDS sheets, or user information — a product content enrichment project can improve the quality of individual product listings.

The benefits of product content enrichment are most tangible for customers and salespeople since studies show that customers are much more likely to buy from retailers that provide more product information.

Whereas taxonomy development and product data normalization involve making strategic decisions about how to group and arrange products among internal stakeholders, product content enrichment projects primarily comprise outbound detective work like:

• Going to manufacturers’ sites or other published sources of product information (e.g., PDF catalogs, spec sheets) to collect technical information about the products
• Accessing other sources — such as industry databases — to secure any additional available assets
• Creating enriched product titles and descriptions
• Image sizing, cropping, and improvement
• Video and graphics editing and enhancement
• Renaming digital files with keywords for SEO
• Adding product reviews and evaluations

Getting Started on Strategic Product Content Projects

Product content projects can — and should — be more than just tactical clean-up initiatives for the e-commerce or marketing teams. If handled correctly, they can benefit various departments at an organization and play a crucial role in forward-thinking business strategy.

Taxonomy

Taxonomy for Better Understanding of Data

Product Taxonomy Development for Better Data

In a world revolving around internet and everything going online, we all agree to the fact that taxonomy is the backbone of the whole classification process. It helps in sorting the categories in a proper hierarchy for a better visibility of commodities online.

Taxonomy is extensive as it plays a vital part in user’s mindset of the website and the commodities/ products on it. If not for proper classification, a website becomes more of a confusing one. For example, we are buying a phone, we expect the salesman to display the phones in meaningful categories like iOS, Android, Windows and brand wise. Similarly, when it comes to business, content stored in a website should be categorized.

Designing a functional taxonomy involves figuring the types content and mapping them with data and defining word tag characteristics. Our content management approach and search approaches would now be able to be more compelling, enabling us to find all the data that relate to a product which enhances the find-ability which in-turn will reflect on the number of visitors and website users who will turn into buyers.

Each industry or company will be more likely to develop variations based on a classification scheme. For instance, an industrial tool manufacturing company will use terms like Solar, electrical, power tools, hand tools etc. a property builder will use terms like property, tenant, shopping center etc. Developing Taxonomy will include mapping out the sorts of data/content to be categorized and catalogued.

If your online website doesn’t have much sales, it means there isn’t much recognition and does not appear on top when searched for. Time to rethink about taxonomy – if your company doesn’t have one, it is high time you approach us to provide one. We will be the answer to your visitors queries like ‘No relevant product’, ‘takes too long to find the product’, ‘Under wrong category’ etc. Take steps now and make your site user-friendly and let your products be more visible and easy to find.