Lead-collecting Web Solution, meeting industry-specific needs.

Lead-collecting Web Solution

Leadmarket is the lead-collecting web tool made by Dataforest. We’ve built a solution that provides a fast and precise lead search from various sources like Google Places, Facebook Business Pages, Yelp, and Yellowpages in one place. The collected lead bases from the USA's e-commerce, insurance, retail, and finance industries can be set to auto-update as quickly as every 10 minutes!

minutes auto-update

904

Search categories

About the client

Leadmarket is the lead-collecting web solution made by Dataforest.

Tech stack

Redis

AWS

Docker

ReactJS

PostqreSQL

The client's needs

Web solutions can be frustrating when you deal with only one lead source and inaccurate, outdated contacts, duplicates, and low-quality leads, especially when each lead search takes a lot of time! Dataforest understood the urge to develop a web solution that could collect leads from several sources in one place, store them, and make them searchable as fast as possible. Not forgetting about precise lead quality!

Challenges & solutions

Challenge

Collecting leads from different sources in one place, without duplicates and other trash data.

Solution

Leadmarket can search through various sources with a parallel lead re-verification process. So, every lead base is ready to use without further cleaning and contains only up-to-date information.

Challenge

The vast lead base requires filters for users to be able to make a precise query.

Solution

Leadmarket has 904 ready-to-use category filters and a location search filter.

Challenge

Each lead search takes time, so updating the already searched bases was necessary without initiating another search process.

Solution

Users can set an auto-update for any of their lead bases. It can be set for different periods, but as fast as every 10 minutes. The update will appear in the account or be sent to the email set in the auto-update menu.

Challenge

Searching through vast databases requires time.

Solution

Dataforest built the solution so that every, even the most precise or vase search result, would be kept in the solution. So each subsequent search inquiry would take less time.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

Leadmarket is a great web tool for lead searching, that provides a one place for searching leads through several sources. Users receive the ready-to-use lead base and can immediately use it for any marketing and sales activities. With categories and location filters alongside data cleansing, every lead base always contains only up-to-date information without duplicates and other data trash.

Moreover, any ready lead base can be set to auto-update every 10 minutes, so there is no time wasted on the base formation waiting. All the updates are being stored in the solution and can be set to send to users’ e-mail.

Leadmarket is the lead-collecting web solution made by Dataforest.

Steps of providing data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Mailing Platform

We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.

15%

CX boost

20%

cost optimization

Gonzalo Ramos

Partner Trade Union

View case study

DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.

Data-driven marketing

We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.

20%

sales growth

200%

traffic boost

Jeremy Groves

CEO ThinkDigital, Digital and Marketing Agency

View case study

They developed solutions that brought value to our business.

Optimise e-commerce with modern data management solutions

An e-commerce business uses reports from multiple platforms to inform its operations but has been storing data manually in various formats, which causes inefficiencies and inconsistencies. To optimize their analytical capabilities and drive decision-making, the client required an automated process for regular collection, processing, and consolidation of their data into a unified data warehouse. We streamlined the process of their critical metrics data into a centralized data repository. The final solution helps the client to quickly and accurately assess their business's performance, optimize their operations, and stay ahead of the competition in the dynamic e-commerce landscape.

450k

DB entries daily

10+

sources integrations

Lesley D.

Product Owner E-commerce business

View case study

E-commerce Data Management case image preview

We are extremely satisfied with the automated and streamlined process that DATAFOREST has provided for us.

Streamlined Data Analytics

We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used a combination of data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable data insights which support the client's business decisions.

1.5 mln

DB entries