AI-powered Market Research Agent for B2B Sales

The client is a B2B software company offering IT consulting and development services. Their customers praise their work for exceptional technology expertise and continue to choose them as a preferred partner for IT-related tasks. Most of their new clients traditionally come from referrals and a personal network while outbound sales had limited results.

To build a diversified and predictable outbound revenue stream, the client decided to develop a platform that would automate prospect searching and outreach. The tool would not only replace most of the existing capabilities of the human market researcher on the team but also significantly increase prospect sources and their volume.

The built system would need to automatically find relevant prospects based on a defined customer profile, look up fresh information on each prospect, and create personalized outreach campaigns based on the findings. For example, a cold email campaign targeting companies with a certain position on their website that would also include insights from recent company news published on their blog.

DataRoot Labs successfully developed an AI-driven Market Research Agent for the client. This solution generates a daily list of relevant prospects based on pre-defined filters, provides the latest insights on each company, and crafts personalized outreach campaigns. As a result, the client enjoys a substantial increase in response rate and sales calls, with dozens made each month.

To find suitable prospects, we had to identify relevant databases containing up-to-date information on potential customers. Therefore, the primary challenge was efficiently gathering information from various private data providers and other research solutions. Additionally, ensuring the accuracy and relevance of the extracted insights presented a significant hurdle.

Another envisioned functionality was enriching the shortlist of prospects with relevant insights. The Agent can search and add insights based on publicly available data on each company — website information, press releases, articles, posts, etc.

The final solution should work as a fully Autonomous Agent capable of making outreach through platforms for sending emails, including personalized sequences to drive engagement with prospects.

Finally, the solution have to integrate with the sales team's existing toolkit through APIs, including email marketing, contact verification, CRM systems, and LinkedIn.

The main task of the Market Research Agent is gathering, combining, and filtering prospects from multiple sources. The Agent collects unstructured data about companies that may be interested in IT services using web search, scrapping tools, and data providers' APIs.

Next, each company is comprehensively investigated. This includes analyzing the services and products listed on the company's website, the founders' contact information, the headquarters and office locations, etc. Based on the results of the investigation, irrelevant companies are automatically removed.

With a full understanding of the potential client, the outreach strategy takes its course. The Agent finds the decision-maker among all company contacts, selects contact methods, writes message sequences, and sets up automated outreach with Woodpecker for email and PhantomBuster for LinkedIn.

To simplify statistics collection, the Agent Analytics system was developed. All important conversions on each step are aggregated in real-time, allowing the sales department to enhance predesigned campaign parts and adjust prospect sources.

Market Research Agent was also successfully integrated with the IT company's HubSpot CRM, which prevents doubling contacts and, along with Agent Analytics, ensures the clarity and visibility of the outreach results.

Implementing the Market Research Agent subtracted the time-consuming operations by automatically and continuously populating the CRM, ensuring a steady stream of prospects. Within the 3 months experiment window, it resulted in a 150% increase in monthly sales calls and doubled the number of monthly contracts signed.

The market research department's processes have transformed from manual analysis and data entry to managing an AI-powered Agent who generates new prospects. This has upgraded the team's skills and increased the productivity of the entire sales department.

By automating a great part of the sales process, the company set itself apart in a competitive market, reaching potential clients faster and more efficiently through personalization and advanced filtering. The end result was an uptick in revenue growth, ultimately achieving long-term sustainability and success.