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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
Data-driven marketing case image

About the client

An international digital marketing and advertising agency, who created the first information platform built for marketers around the world.

Tech stack

Python logo
Python
Pandas logo
Pandas
Pyspark logo
Pyspark
TensorFlow logo
TensorFlow
PostqreSQL logo
PostgreSQL
Hadoop logo
Hadoop

Challenges & solutions

Challenge

Craft personalized buying journeys for the prospects.

Increase conversion across the entire customer lifecycle.

Get insights into the customer persona and create a more personalized approach to customer engagement.

Solution

Developed a platform, which:

- monitors the period of time in which the client is the most likely to place an order;
- analyzes the sales histories of a specific client;
- helps to implement cross-selling;
- creates individual recommendations for each client, significantly increasing the likelihood of a sale, and, hence the company's profit;
- integrated the platform with the other popular ecommerce platforms;
- implemented a system, which helps to download/upload data on the consumption of services by clients, dividing them into certain groups, according to the purchased services/goods;
- created a platform, which analyzes and identifies the periods, when the client is most likely to place an order. Based on this data, the customer can build his advertising campaign, thereby foreseeing what to offer to the client at the time of his purchase, hence increasing his lifetime value and loyalty.

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They developed solutions that brought value to our business.

Jerermy Groves photo

Jeremy Groves

CEO ThinkDigital, Digital and Advertising Agency

How we provide system integration solutions

Consultation icon

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.
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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. We receive from you or perform a set of interviews and prepare the following documents: integration pipeline (which data we should get and where to upload), process logic (how system should work); use cases and acceptance criteria; solution architecture. Ultimately we make a project plan which we strictly follow.
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Step 3 of 5

Solution development

At this stage, we build ETL pipelines and necessary APIs to automate the process. We attract our DevOps team to build the most efficient and scalable solution. Ending up with unit tests and quality assurance tests to ensure that the solution is working properly. Focus on Results is one of our core values as well.
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Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we are expecting client’s participation in the project. While developing the integration system, 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.
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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.

Data parsing

We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
14.8 mln

pages processed daily

43 sec

updates checking

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Sebastian Torrealba

CEO, Co-Founder DeepIA, Software for the Digital Transformation
View case study
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These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.

Store heatmap

The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.
9%

increase in sales

100%

dead zones removed

Jared D. photo

Jared D.

CEO Consumer Electronics Retail
View case study
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DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.

Web app for dropshippers

The Client wanted to create a web app for people who sell products online (dropshippers) to show them the most popular products and calculate the potential profits. DATAFOREST designed and built the web app from scratch, creating high-load scraping algorithms to extract data from different eCommerce marketplaces, developing AI algorithms to calculate profits, and integrating the payment system with various functionalities.
100k+

hourly users

1,5 mln+

Shopify stores

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Josef G.

CEO, Founder Software Development Agency
View case study
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If we experience any problems, they come back to us with good recommendations on how the project can be improved.

DevOps Experience

The ML startup faced high costs during its growth for a data-driven platform infrastructure that processes around 30 TB per month and stores raw data for 12 months on AWS. We reduced the monthly cost from $75,000 to $22,000 and achieved 30% performance over SLA.
2k+

QPS performance

70%

cost reduction

Robert P. photo

Robert P.

CTO Cybersecurity
View case study
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They have very intelligent people on their team — people that I would gladly hire and pay for myself.

Latest publications

All publications
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18 min

Web Price Scraping and Price Monitoring Guide by DATAFOREST

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18 min

Efficient Cloud Infrastructure Monitoring: Secure and Scalable Solutions

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16 min

15 Best Data Warehousing Tools: Cloud-based Platform & Services - DATAFOREST

We’d love to hear from you

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

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DataForest, Head of Sales Department
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DataForest company founder
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