Category: Analytics
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Beyond Human Logic: How Deep Learning Neural Networks Discover Customer Insights & Actions We Can Never Find
For most of the modern marketing era, our “data insight” process has looked something like this: We gather data from various sources. We apply data into existing frameworks and models. We generate insights/conclusions based on patterns we can interpret. We make recommendations based on our perspective. It is a rigorous and time consuming process and…
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Why AI-Native Segmentation Is the Future of Customer Data
At Neuralift AI, we believe that adopting an AI-native foundation for customer segmentation isn’t just a smart move—it’s the competitive advantage of your first-party data that your business needs to thrive in a data-driven world. Our application transforms how brands segment and engage with their customers by combining neural networks for segmentation and Generative AI…
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5 Customer Data Predictions for 2025
The customer data space continued to mature in 2024. Before I get into this year’s predictions let’s take a look at how well I did a year ago. Prediction 1: MarTech tools will argue about what they are called. Accuracy. 4/5 There was finger pointing and name calling amongst vendors being “legacy” and “composable” but…
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Table Steaks: Customer 360 Made Easy
The most important thing brands can do now is join their various customer data together into a single table with one row per customer. Call it a source of truth, a golden record, a master customer file, a C360 or a C180….call it whatever you want. Keep it in the cloud, on your premises, in…
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Repeal the Personalization Tax! Get Relevant with AI!
Personalization (or for my friends around the globe, “personalisation”) is having a moment. It might best be described as “frustration.” With higher media costs and increasing cost-to-acquire new customers brands desire customer segmentation across the customer lifecycle. This is so they can personalize marketing across channels to grow existing customer LTV. Brands have invested in data…
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Outcomes as a Service: Advancing MarTech from SaaS to AI
The Software as a Service (SaaS) model began when Salesforce launched its “End of Software” campaign in 2000 and IPO’d only 4 years later. At the time, people were still buying software in a box. CRM software like Siebel was incredibly difficult to run and required constant costly upgrades. Salesforce was different. Its product was…
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Why E-Commerce Conversion Rate is Stuck at 3%
18 years ago (gulp) I helped bring one of the first Martech SaaS products to market. Without fail it increased conversion rate. Often doubling or tripling it. Today, if you use Adobe Target you still use the same “m-box” (“m” for “Marketing”) which was core to the A/B Testing, Targeting and Personalization that Offermatica pioneered.…
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AI for ROI: Back to the Future
I’ve been working on an AI startup for the past 9 months so I thought I would drop an update and share some thoughts pertaining to AI for marketing and AI in general. We have taglined our product, “AI for ROI” so we are setting a high bar but we are very confident. If there’s…
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Goodbye Customer Data Platforms
Last night Myles Younger shared the a16z primer The Rise of the Composable CDP. As I was reading I was confused when it was written. Composable CDPs rose about 2 years ago after the SaaS vendorscape of CDPs with their long integrations and high fees were platformed themselves by what they were running on, namely…
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Singularity: AdTech and MarTech are Converging
Owners of first-party data are pioneering new and different sets of technical solutions to old advertising and marketing use cases. It is merging two markets previously separate, together as one. The results are expected to be something the industry has been waiting almost two decades for. A step-change in performance of digital marketing and advertising.…
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Beginning of the Endpoint: AWS, GCP, Snowflake, Databricks Compete/Connect in Marketing Cloud
The oil that makes the cloud run is data. At the start, AWS and S3 provided a simple storage service for data. It was web-based, secure, scalable and cheap. It changed the game. It’s been 17 years now since S3 launched and kicked off the “Cloud Wars.” Not only have Amazon/AWS Google/GCP and Microsoft/Azure been…
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Always On – Marketing Use Cases for Streaming Data Apps
Marketing Cloud maturation means your Databricks, Snowflake, AWS, Azure and GCP instances are going to be more connected to real-time data streams and apps. For brands this data flows in the form of precious first-party data and unlocks a new world of marketing possibilities. Data modeling, machine learning and real-time algorithmic decisions will become the…
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End of the CPM Experiment
The flag bearer of display advertising was always Yahoo. Their massive sales force stoked 15 years of equity into “the web banner.” Yahoo arguably had the greatest hand in providing the economic foundation for the entire web for many of its formative years. That is why nothing better symbolizes the collapse of that foundation better…
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Talkin’ 2011 Publisher Revenue Blues
"Well, I finally started thinkin' straightWhen I run outta things to investigate." -Bob Dylan It’s been a while since I’ve posted here at Optimize and Prophesize and even longer since I posted regularly. As has been the tradition here in all but my first year blogging in 2006, I provide a yearly recap of my…
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Yieldbot Begins Empowering Publishers with Intent Data
“If you think about the [advertising technology] stack there’s lots of necessary elements but it seems to me the meat in the sandwich is the intelligence layer. It’s the engine that figures out, if-this-then-this. If you think about what the most important part is that seems to me to be at the nucleus.” -Terrence Kawaja,…
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