Tesla's new car sales in Britain rose year-on-year in June amid a broader recovery in the electric-vehicle market, data ...

Search marketing built on deep user data is no longer sustainable. Here’s how to evolve before performance takes a hit.

Some data points are hard and defined, but often the additional points of measurement feel too squishy for the data analysts involved in the modeling process. But for a marketing mix model to be ...

Brands can save 10-15% just by building a CSV data model. API Integrations. API data insights pick up where Excel feed data leaves off. The API is designed with the end-user in mind. The data can be ...

Predictive modeling is a statistical analysis of data used to generate future scenarios for organizations and companies. It can be used in any industry, enterprise, or endeavor in which data is ...

Analyzing attribution data provides you with an understanding of which marketing, sales, and customer success efforts are contributing most effectively and efficiently toward revenue generation.

There can be little doubt that marketing mix modeling (MMM) is having a moment. With the death of the cookie and increasing data privacy concerns from consumers, marketers are seeking alternatives to ...

Marketing measurement is messed up – it’s hard to argue otherwise – and most people agree on the reasons why: vanity metrics, imperfect models, unrealistic expectations. But there’s another issue at ...

Marketing Week’s Mark Ritson noted the power of synthetic data for market research last year, after the publication in October 2022 of academic research suggesting LLMs could generate perceptual maps ...

Strategists at JPMorgan led by Nikolaos Panigirtzoglou say they’ve created a model to forecast the direction over the S&P 500 ...

The Next Generation Of The Marketing Mix Model ... that statistically mirrors real-world consumers using more than 10,000 attributes from trusted sources including census data, market research, ...