Confusion and uncertainty are the two new constants in our lives now. The consumer is confused on what to buy and the retailers are confused on what marketing technique to use in order to ensure an increase in sales. To add to this, new trends and technological developments make it difficult to keep pace with the ever-transient market.
So how in the midst of this chaos called e-commerce, does one make a decision that ensures not only their survival but also profits?
Well, the answer is very simple.
Web Scraping Services.
Web scraping is a tech that is used to extract data from websites, which are further analyzed to draw insights and marketing decisions.
Why Marketers should consider Web Scraping Services for their Marketing needs?
Conversions are the lifeline of any business. And they are not the easiest thing to come by. According to a survey by Econsultancy, only 22% of all the businesses are satisfied with their conversion rates.
There is a lot happening behind the scenes which lead to conversions. Apart from website design, site speed, check out process, SEO and a bunch of other things that might influence the consumer, there is another deciding factor. The product itself.
All these and many more need to be taken into account if you want to stay ahead of your competitor in the market.
The key to answering all these questions is Data.
You need to be up to date with whatever is happening in the industry and you need in-depth info about your own performance, capabilities, and potential.
Luckily, there are thousands of marketplaces out there which generate a humongous amount of data. All of which can be available at your fingertips with data scraping. The more variety and complex the data is the richer and accurate the insights will be.
4 ways to Use Web Scraping Services ls for Marketing Decision
The amount of data created daily is unfathomable. But to collect all this data and not harnessing its potential is underutilizing it. Here are a few ways that marketers can use web scraping services to drive market decisions.
1. Automation
Automation is one thing you have to get right. It frees up employees, reduces time and cost and also increases the output quality.
Web scraping is automation in action. By filtering out the kind of data you don’t need, you can customize your scraping software to collect data, which otherwise would have taken hours of manual labor and a lot of people.
Almost any activity that was initially done by hand can be automated, but here a few examples where web scraping does exceptionally well –
Generate leads– Gather public details to be used as sales touch points and leads.
Copy and paste data– not only can a software search up the data you want, it can also automatically input values like URLs, product id etc.
Run and download reports– Many web-based systems require a manual log-in to download data.
Gather news articles, blog posts and more.
2. Business Intelligence
The internal company data can be collected from Finances, HR, sales etc. to have better decision making and profits. External data, which comes from outside the organization requires methods which aren’t so simple.
Relevant business data that leads to insights can help in making marketplace decisions to promote long-term stability.
Here are a few outcomes that a good analysis of external data can get-
Measure SEO matrix and social network performance.
Aggregate product review for large-scale feedback.
Identify trends product releases, industry news etc.
3. Competitive Analysis
Companies that make it big don’t just rely on their own internal functioning. They keep an eye on their competitors and to see what their strategy is. Although it is not possible to directly access another company’s database, it is possible to figure out their marketing plan observing their resource allocation, pricing policies etc.
4. Custom Projects
Sometimes the information required by a company is not available in the public marketing journals. Since the markets are evolving, so is the data and its usages. This is where web scraping custom projects come in. They help in-
Exploring the marketing positioning– by analyzing the channel demand for a product in numerous locations.
Determining training needs– Check various online sources for review and decide where and when the training is needed.
Archive historical data– Automate the process of storing and backing up data.
Looking to use web scraping services for better decision making? Contact us at Datahut, your big data experts.