HolistiCRM
Reducing Marketing Noise with Smarter AI

Csongor Csaba Fekete, Founder and Managing Director

Its dedicated tools span acquisition, cross-selling and customer engagement, using artificial intelligence, machine learning and geospatial intelligence to help large B2C organisations act with greater precision across the customer lifecycle. Instead of optimising individual marketing activities in isolation, HolistiCRM connects them around one commercial objective of getting more value from every marketing pound, euro or dollar spent.

“We approach marketing programmes from a data perspective,” says Csongor Csaba Fekete, founder and managing director. “We built our first AI models more than 20 years ago.”

Today, organisations across more than six industries and 23 countries rely on over 136 models to turn customer and location data into sharper commercial decisions.

Location Intelligence Sharpens Acquisition

Through its BeSpatial.AI capability, developed through work with the European Space Agency, HolistiCRM analyses anonymised and aggregated customer information alongside GIS and Earth observation data. It identifies areas that resemble locations where a client already has a strong customer base. Marketing teams can then focus their spending on places with a higher likelihood of conversion.

This changes the economics of acquisition. HolistiCRM reports an average 2.2-times increase in acquisition compared with control groups. One home insurance use case showed a 16.4-times difference between the strongest and weakest locations within the same city.

Once a customer enters the relationship, HolistiCRM turns to personalisation and cross-selling. For an e-commerce client, the existing sales model was driven heavily by vendor discounts. HolistiCRM built an AI-based recommendation engine using browsing behaviour, email interactions and previous purchases to predict the products each customer was most likely to choose. The client recorded a 2.5-times increase in email open rates and a five-times increase in click-through rates.

This lifecycle view also reaches customer service and marketing execution. AI chatbots use customer history and company knowledge to tailor responses, while marketing automation turns relevant industry developments into on-brand blog and social content.

Specialist Agents Compress the Analysis

Behind that execution sits a network of 42 specialist AI marketing agents, built in stages through 2026. Each owns a single discipline, from search and keyword research to paid media, measurement, pricing and behavioural science, rather than covering marketing generally.

The value, in practice, lies less in any individual agent than in what passes between them. A finding from the competitive-intelligence agent reshapes the keyword list, which changes the paid-media plan, which changes the content calendar. A second round then surfaces competitors and keywords that the first missed. Standardised connectors to Google Ads, Analytics, Search Console and CRM systems mean the analysis rests on a client’s actual account data rather than assumptions.

Two agents act as gates before anything reaches a customer. One checks the behavioural mechanism and backfire risk of a message, the other data protection, consent and sector rules. Human sign-off is always retained.

“Proper analysis at this depth was always possible. It just took an agency team weeks,” says Fekete. “The agents do the analysis and the drafting; the client’s team still decides.”

Custom Models Built on Privacy

HolistiCRM trains models around each organisation’s customer base, business model and product portfolio instead of deploying a single model across every client. By automating much of the model-generation process, it reduces time to market, with some BeSpatial.AI models delivered within around two weeks.

Privacy is built into that approach. BeSpatial.AI works with anonymised, aggregated data at a 100-by-100-metre level. It learns the profile of a location rather than the identity of an individual customer.

The broader value becomes most visible when multiple HolistiCRM capabilities work together. One customer using a wider mix of its solutions increased acquisition 4.5-fold within a few months. HolistiCRM measures success through outcomes such as cost per acquisition, conversion, cross-sell performance and customer-level EBITDA.

“Our goal is to reduce marketing and sales noise,” concludes Fekete. “It should be about giving the right offer at the right time to the right customer.”