A company can grow exponentially if it has access to the data on competitors, and it will also offer a strategic niche advantage. To stay competitive, you need to add data scraping as part of your ecommerce marketing techniques. In this article, you’ll learn ecommerce data scraping tips that will help you gain a massive edge over your competitors.
According to the World Economic Forum report, by 2025, the daily data creation would exceed 463 exabytes. This data offers valuable market insight. It will help you decide and build successful strategies. However, its scale renders it impossible to retrieve manually.
Image Source: WorldEconomicForum
Here is when the revolutionary technology called “Data scraping” kicks in to make your job easier with its AI mechanisms. Data Scraping, aka web scraping, satisfies the organization’s requirement to collect information about its rivals and the market.
eCommerce Data Scraping Tips
One of the biggest problems for eCommerce companies is how to use the data they collect and how they can attribute the collected data to their overall company development. Keep on reading to unlock the five tips that can give you an edge in e-Commerce.
Interests and Preferences of the Customer
A company should know the requirements, interests, needs, and preferences of its customers. You can manage your actions accordingly and make your best effort to sell goods and services which your consumers need at fair rates if you know what they want.
Thankfully, data scraping can help you evaluate your thoughts and foresee what your clients are searching for online. Millions of people like their pages of interest on social media and leave their reviews there.
According to a survey, 84% of clients have confidence in online reviews, and 68% form an opinion after reading one to six online reviews. By collecting online data on consumer behavior and responses, you can virtually see a product or service’s success and determine if you should keep that product or stay away from it.
Image Source: BrightLocal
Tracking consumer activity is not restricted only to testing customer accounts on eCommerce websites; it opens doors to a lot more opportunities. There is a range of tools for social network scraping that can help you collect and utilize information created by users for online branding tracking, market segmentation, and trend analysis.
You need a great deal of data to predict the future eCommerce market and the specific trend to be followed. Predictive analyzes enable eCommerce traders to realize what consumers need and how much they can pay for it. With data scraping, you can use massive amounts of data to evaluate previous and current trends to forecast future trends and utilize this tremendous strategic edge to increase revenue.
As web scraping is an essential component of predictive research, investing in this mechanism is necessary. Marketing strategies can only be successful if a business will target products and services, which consumers need at the required time. Predictive analytics play an essential role in reducing revenue expenditure.
The combination of data scraping and predictive analysis will allow managers to produce more revenue at controlled costs. Therefore, a business needs to invest in data scraping and predictive analysis online or offline.
You will easily figure out the SEO competitors for a given search term by scrapping organic search results. You can then find out what title tags and keywords they are targeting.
Different SEO tools and resources rely on domains and keywords to achieve top ranking. Data scraping is essential o increase the overall output of your Web pages.
Image Source: jbKlutse
You may also use data scraping tools like import.io and KimonoLabs for meta-data extraction and web page indexing. You can use either of these resources to figure out why your competitor’s site is better than yours and examine the right keywords for your site. These tools will allow you to extract meta explanations, meta titles, and meta tags and enhance your website efficiency.
Data Scraping is also used to verify if an entity exists, count the number of objects on the page, check the element length, and more. This approach helps you ensure that you have written a product overview, satisfying the minimum word count. Any blog post includes at least one link to a particular category.
Lead information is accessible across the Internet, from registry pages to social networking channels. The more information you obtain and utilize, the more effective your sales activities can be.
61% of business-to-business marketers claim that the generation of high-quality leads is one of the biggest challenges, and 68% of companies report having difficulties with lead generation.
Source: Forrester Data: Marketing Automation Technology Forecast, 2017 to 2023 (Global)
You can stay in touch with potential clients or influencers through social media and blogs. It would help if you defined the appropriate characteristics such as age, work, place, etc. The scraper then uses these search parameters to retrieve the appropriate data from the listed pages.
Lead generation is the most critical sales and marketing target for businesses. Having the right lead scrapping tools to develop the system to capture lead generation data is extremely important.
Today the global eCommerce industry comprises hundreds of thousands of stores. And the amount is only increasing day by day. Manual monitoring to determine and maximize product costs is virtually impossible in this scenario.
But wait. No need to worry! Web Scrapping helps you create software for competitive price tracking that significantly reduces time in analyzing competitors’ prices via offering a dynamic pricing strategy.
With a real-time market monitoring process, you can see how your competitors adjust prices over time, identify the patterns and formulate tactics that will contribute to an optimum price evaluation.
Image Source: PromptCloud
A data scraping solution for real-time market monitoring will let you be mindful of the product life cycle, seasonal price adjustments, sales, and advertising tactics. Take reliable decisions that increase profit and reduce expenses while saving time.
Data scrapping helps the business provide an efficient, competitive pricing plan and change product and service rates to satisfy real-time demand. This approach is simply a must for online retailers, and according to eConsultancy, it will raise income by 25 percent on average.
Data scraping allows successful market analysis, and it’s a legal technique. You can use a data scraping tool(s) to analyze your rivals, know your clients, and build better pricing and selling tactics.
You should give data scraping a chance, regardless if you are already an established business or new to the online business. Moreover, you will not require coding or other complex skills: in most situations, you only need to give a scraping tool some necessary details and wait until it does the work for you.
Let us know in the comments section if you have ecommerce data scraping tips that you’d like to add to the above list.