Data-Driven Marketing Quotes

Algorithms are opinions embedded in code. It’s really different from what you think most people think of algorithms. They think algorithms are objective and true and scientific. That’s a marketing trick. It’s also a marketing trick to intimidate you with algorithms, to make you trust and fear algorithms because you trust and fear mathematics. A lot can go wrong when we put blind faith in big data.

Brand marketers don't believe that ad-tech companies view brands as true partners. Ad-tech companies think brand marketers are paying attention to the wrong things. And publishers, with a few important exceptions, feel taken advantage of by everyone.

Perhaps marketing is about to transition to a new kind of profession, one that requires insight, dedication and smarts.

Social media and personalization are providing both brand advertisers and end-users with hyper-targeted choices and opportunities for double-digit growth.

No great marketing decisions have ever been made on qualitative data

Instead of just purchasing an ad campaign, target test and measure. Give an ad a small try. If the response is enough to pay for the ad, make it larger. With a franchise, ask the most successful franchisees what they did. Ask the bottom five guys what they did and avoid it.

Good marketers measure.

I believe that all brands will become storytellers, editors and publishers, all stores will become magazines, and all media companies will become stores. There will be too many of all of them. The strongest ones, the ones who offer the best customer experience, will survive.

Every company today is a data company whether they realize it or not.

Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within eighteen months, or risk being left in the dust.

Nobody has really grasped yet the great wealth that can be made selling data over the Web. There are 100 million potential customers out there.

The conventional way of selling products out of the catalogue no longer works; the relationship needs to become more sticky.

There is a calculus, it turns out, for mastering our subconscious urges. For companies like Target, the exhaustive rendering of our conscious and unconscious patterns into data sets and algorithms has revolutionized what they know about us and, therefore, how precisely they can sell.

Advertisers don't want to be ignored, and they are drunk on our data, which is what Google and other large networks are really selling. The ads are almost a by-product; what companies really want to know is what antiperspirant a woman of 25-34 is most likely to purchase after watching 'House of Cards.'

Companies are accumulating vast amounts of information about your likes and dislikes. But they are doing this not only because you're interesting. The more they know, the more money they can make.

The more we can personalise, the more the market can fragment, because of all the availability that streaming presents. Things become old sooner. That's terrifying.

Lists that segment people into clearly-defined categories are particularly valuable to direct marketers, which can tailor their sales pitch to a particular demographic and, therefore, increase the likelihood of making a sale.

In the future, the best retail sites will know you much better and show you things that are much more relevant.

In the Internet economy, information is everything: The more a company knows about a consumer, the more carefully it can tailor its advertising to that customer, and the more revenue it can generate in return.

Companies have long gathered data to break down their customer base into specific segments. Now political parties have become adept at micro-targeting, too, using data on shopping habits, leisure activities, voting histories, charity donations, and so on, in order to pinpoint likely supporters and the type of appeal most likely to win them over.