Boosting Marketing Performance with Data-Driven Insights

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.

sales growth

200

traffic boost

About the client

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

Tech stack

Pandas

Pyspark

TensorFlow

PostqreSQL

Hadoop

The client's needs

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 e-commerce 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.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

They developed solutions that brought value to our business.

Jeremy Groves

CEO ThinkDigital, Digital and Marketing Agency

How we provide data integration solutions

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. 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.

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.

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.

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

Operating Supplement

We developed an ETL solution for a manufacturing company that combined all required data sources and made it possible to analyze information and identify bottlenecks of the process.

30+

supplier integrations

43%

cost reduction

David Schwarz

Product Owner Biomat, Manufacturing Company

View case study

DATAFOREST has the best data engineering expertise we have seen on the market in recent years.

AI Forecasting That Saved $142M for Global Retailer

Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.

88%

forecasting accuracy

0.9%

out-of-stock reduced

Andrew M.

CEO Luxury Goods Retail

View case study

I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.

Entity Recognition

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.

faster service

15%

CX boost

Brian Bowman

President Carsoup, automotive online marketplace

View case study

Technically proficient and solution-oriented.

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.

customer retention boost

25%