Sales Intelligence

Sales Intelligence or SI is the collection of methods and technologies to collect and analyze information to help a company to increase sales. Data is gathered about competition, sales prospects, and products from across the web, social media & other news sources.

Sales-Intelligence

Sales Intelligence Meaning

Sales intelligence denotes the available resources for research, collection, analysis, and implementation of information and insights, helping the salespeople to build strong rapport with clients. With strong marketing and sales intelligence, you can be successful in the current business environment.

The web has become a huge resource to contact lead data and sales information. However, gathering and using the information is a very difficult task, as it is normally accessible on thousands of sites. Before speaking to the clients, salespeople collect data about market information, contacts, as well as company news.

Selling is a complicated procedure and for controlling as well as driving it for success, you need a smarter approach and that’s where Sales Intelligence has a role to play. It offers predictive analytics and real-time insights to improve total sales performance. Some actionable intelligence will help your sales efforts as well as support your team for taking useful actions. Sales intelligence helps in making smarter decisions as it’s a more thoughtful and intelligent way of organizing your sales procedure.

When the Sales Intelligence Becomes Really Important?

Sales intelligence is an important advantage while selling to new prospects and building rapport with existing customers.

During the primary sales meetings, it’s quite possible that your prospect is simultaneously talking with your competitors. Providing the high-pitched presentation isn’t inevitably enough to win the client; you need to go above & beyond to show that you are the finest partner for their current as well as future requirements and you can do that through social selling.

By collecting insights and information from the internet, you can find opportunities to have personal relationships with the prospects, providing you an edge in the competition.

From industry details to relatively vague company statements, the insights that you get to the initial meetings assist you to actually know your prospects well and that act us a foundation for a healthy and long relationship.

When any business opportunity converts into your client, professional sales intelligence services will provide you with the information to maintain relevant and active engagement with the client, emphasizing that you are actually in close touch with the industry in accordance with their requirements.

Importance of Different Kinds of Data Collection

Data collection is an important aspect of the sales process. Data is gathered from different sources; few of them get acquired naturally as a part of interaction with the sales lead and the rest auxiliary data from the other sources associated with the leads – company, individuals, market, location, etc.

The principal channels for Sales include Inbound Sales Channel, Outbound Sales Channel, and Channel partners – VARs, etc. Ultimately, the data around a prospective customer is stored in a centralized system. The primary challenges are channels having their individual formats, data sources, as well as data quality issues.

Sales-Intelligence

Inbound Sales Data

The inbound sales data might be extracted using email, phone, website, fax, social media or postal mail. The data for all channels might come in different formats and every source might not come with a standard format.

Email can get used to enhance an organized data store like a database for the inbound leads or enhanced CRM (Customer Relationship Management) system that mainly uses the database in back-end however hides the difficulties through a better user interface.
Fax data can be well-structured if the paper-based forms are utilized and OCR workflow works well to convert them to structured data. However, it has a higher error rate as well as for postal mail, this has a higher latency because of physical transport time.
Except you use a VOIP-based smart technology, the phone data doesn’t actually exist in the majority of companies and certainly not in the well-structured format. What you can expect is the call log and a few metadata regarding the transcripts.
This data is having the potential to have well-structured however a highly developing data source. Companies try their best to work out how to use this data with their customary channels and use it in the best way beyond getting traffic to the websites as well as product marketing.
If sales leads are coming through the website the data can be usually structured with fields for some common elements like Name, Telephone, Email, Company Name, etc. and possibly a catch-all field for details, notes, or comments. Because of the ubiquity of emails as the communication medium as well as failures of many attempts to fall it from the rest, what was organized data from the website could end up in semi-structured data in case your site communicates data in the email.
The outbound sales data might come with email campaigns or social media or phone. Other channels like marketing drive leads through the site or call center look more like inbound sales data. The data again might come in own format as well as every source might not even have the standard format.
Channel-based data either using channel partners or Value Added Resellers (VARs) have their own problems. This might be hard to get at first place in case it is acquired, might be really dirty, unreliable, and unusable.
If the company has the influence over VARs or partners; that integrate with you following the guidelines, then it is highly beneficial however, still the data can’t get relied on as-is. This still needs to be cleaned, matched, verified and correlated.
Email campaigns are the popular way to generate leads and ultimately the positive outcome of such campaigns results back to data collection. Leads can be driven either in by replying to an email or through structured resource of data collection i.e. a website.
This kind of data may come over different transport mechanisms like the traditional FTP techniques or using the new cloud-based storage alternatives like Amazon S3.
Outbound phone call data have the same characteristics as inbound phone data using some extra data points.
This data type is certainly better however requires technical know-how right through the supply chain. This can be done using Webhooks, API calls, etc. to get the real-time interface.

Our team of sales intelligence values following areas

iWeb Scraping can significantly increase your potential income through improving the value of leads which you require. iWeb Scraping mechanically checks thousands of web resources to scrape through sales intelligence and integrate automatically with the database that helps you to isolate your offerings and get premium prices.

Competition/Vendor Mapping

Decision Making Process

Drivers & Initiatives

Financial Overview

Growth Plan

Infrastructure Mapping

IT Organization Structure

Mergers & Acquisitions

Organization Structure

Technology Strategy

Why Choose Us?

iWeb Scraping offers your sales team, leads and insights they require to drive fruitful sales prospects. We continuously monitor thousands of websites for getting the latest industry and company information, offering a continuous stream of specially targeted contacts and sales intelligence. iWeb Scraping provides the best sales intelligence services in India, USA, & UAE as with iWeb Scraping, you can:

Automatically identify new leads using collecting contacts and other information from online articles, company websites, industry associations, and other resources.

Decrease sales cycles using web monitoring for market-changing trends and events that drive very productive discussions using sales prospects.

Decrease sales time by offering appropriate content updates to sales person rather than allowing them to make the search for content themselves.

Increase your selected database by adding public customer information like educational background, professional associations, as well as career history for fundamental CRM data.

Track essential customer news using routinely monitored news reports, press releases, and regulatory filings.

How It Works?

Analysis

Analysis

We analyze the data like text, images, documents, etc which are provided by you and find out the best solutions.
Data Gathering

Data Gathering

Based on your requirements, our expert crawlers start their work on gathering data from various websites.
Data Scheduling

Data Scheduling

We ensure to give you an updated and latest data on a regular basis to keep your system updated.

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