‘Informed Intuition’ – Web data is enabling a new style of management driving pinpointed efficiency

Looking for better results in terms of team performance? Learn to adapt your leadership style to the web data-driven era, adopting an opportunity-oriented mindset based on consumer sentiment, trends, and competing entity management styles
Asaf Dekel
Asaf Dekel | Sales Director

In this article we will discuss:

Analyzing social sentiment in real-time sheds light on new consumer trends

Analyzing web data using Natural Language Processing (NLP) from social networks is now helping management understand, model, and monitor consumer motivations, and needs. This in turn helps create products, services, and marketing campaigns that are better suited to target markets, positively influencing bottom lines vis-a-vis teams that act based on not only years of experience (professional intuition) but also cold hard web data. 

For example, the Chief Marketing Officer (CMO) at a company involved in eCommerce may be focused on selling baby products to young Gen Z couples. In this context, he/she may look towards web data points, collecting information from social media groups for new parents, for example. 

By analyzing posts and comments in a certain geography, this company may identify young professionals who lack the time to go shopping for accessories, organizing a bedroom for a new baby, and all that that entails. In order to attract these consumers, management can communicate these needs to company employees who can then approach this segment with a better understanding of their pain points and come up with better solutions, and approaches. 

For example offering a service which allows parents to answer a simple questionnaire regarding budget, style, and gender and then having all items picked out, delivered, and assembled on their behalf.  

Monitoring reviews enables companies do better based on real user feedback

Instead of playing educated guessing games, managers can gain insight into what customers really think about their products and services (both good, and bad). It is in this way that team leaders can motivate employees to do more of what is working and less of what is not, attaining better user engagement/retention rates and increasing consumer spend. All while removing unnecessary stress from people at the company. 

A product manager for a phone call recording application, for example, may want his or her team to make decisions based on real user feedback. It is for this reason that they may want to collect reviews regarding their tool from various app stores. Such data points may yield insights such as:

  • Users find there to be too many steps when attempting to connect the app with a live phone call that they are trying to record. 

They may also discover that:

  • Customers love the fact that they can have their chats automatically transcribed and then read through or quote certain sections of an important phone conversation.

This can shed light on what features consumers consider to be valuable and which they consider cumbersome. This empowers team leaders to be able to focus on what is actually important to users instead of burning out developers on features that aren’t being used or appreciated.

In the case of the above example, the web data in question can inform the product manager that working on features that help access conversations at a later date are helpful and important. ‘Devs’ can then focus on improving what already exists and adding new features such as dividing the text into the different parties that participated in a relevant conversation. 

In terms of complexity when recording, this is probably the most important aspect of an app whose sole purpose is to make it easier to record calls. And a strategic decision may be made to focus on simplifying this one issue and reducing friction to one simple click over the next two quarters. 

Learning from competing entities management style can help teams run faster

Web data can provide C-level management with insights into how their competition is managing teams, and workflows so that they can adopt relevant tactics to their teams and circumstances. Things like employee LinkedIn activity, workshops/webinars, and other publicly available activities can shed light on corporate cultures that are conducive to success and can serve as a learning opportunity. 

For example, an individual who is acting as the Chief Operating Officer (COO), typically in charge of Human Resources may be interested in collecting all LinkedIn activity of employees at competing travel agencies. This may shed light on things such as:

  • People at a competing entity seem to be operating as individuals with high levels of independence, identifying different marketing tactics that may coincide with one another but resonate with different target audiences. 
  • It may be evident from other company profiles that employees receive free or heavily discounted vacation packages enabling the company to provide them with a perk, helping employees better resonate with customers, and generating social buzz and employee-driven excitement around the product. 

The bottom line 

‘Informed intuition’ is a new way in which management, and employees can approach their businesses, clientele, and competitive landscape. It takes ‘intuition’ which has been earned from years of experience. Combining this with user/competitor-driven web data that can help navigate the seas, helping teams to channel their energy using a results/need-based approach. 

Start informing your day-to-day management decisions. 

Asaf Dekel
Asaf Dekel | Sales Director

Asaf Dekel is Director of Sales and Business Development at Bright Data North America. Asaf is a great advocate for incorporating data technology into daily company operations in order to achieve corporate goals. Dekel enjoys combining the human aspect with the numbers and analytics side of business and believes that in today's world, data is the new gold.

You might also be interested in

What is data aggregation

Data Aggregation – Definition, Use Cases, and Challenges

This blog post will teach you everything you need to know about data aggregation. Here, you will see what data aggregation is, where it is used, what benefits it can bring, and what obstacles it involves.
What is a data parser featured image

What Is Data Parsing? Definition, Benefits, and Challenges

In this article, you will learn everything you need to know about data parsing. In detail, you will learn what data parsing is, why it is so important, and what is the best way to approach it.
What is a web crawler featured image

What is a Web Crawler?

Web crawlers are a critical part of the infrastructure of the Internet. In this article, we will discuss: Web Crawler Definition A web crawler is a software robot that scans the internet and downloads the data it finds. Most web crawlers are operated by search engines like Google, Bing, Baidu, and DuckDuckGo. Search engines apply […]

A Hands-On Guide to Web Scraping in R

In this tutorial, we’ll go through all the steps involved in web scraping in R with rvest with the goal of extracting product reviews from one publicly accessible URL from Amazon’s website.

The Ultimate Web Scraping With C# Guide

In this tutorial, you will learn how to build a web scraper in C#. In detail, you will see how to perform an HTTP request to download the web page you want to scrape, select HTML elements from its DOM tree, and extract data from them.
Javascript and node.js web scraping guide image

Web Scraping With JavaScript and Node.JS

We will cover why frontend JavaScript isn’t the best option for web scraping and will teach you how to build a Node.js scraper from scratch.
Web scraping with JSoup

Web Scraping in Java With Jsoup: A Step-By-Step Guide

Learn to perform web scraping with Jsoup in Java to automatically extract all data from an entire website.
Static vs. Rotating Proxies

Static vs Rotating Proxies: Detailed Comparison

Proxies play an important role in enabling businesses to conduct critical web research.