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How HP Lowers Spend and Increases Conversion With a New Kind of Stack
The deprecation of third-party cookies led technology brand HP to rethink its approach to targeting and acquiring new customers. HP needed to operationalize the first-party data set in its data lake and translate it into an acquisition engine with offers for shoppers that are designed to convert.
In this webinar with HP and Databricks, we walk you through the steps and strategies HP took to activate insights in a data warehouse to acquire and nurture more customers – profitably.
Go From Lead to Loyal Faster
You may have a tight budget, but that doesn’t make your data any less valuable. You just need to put all of your data to work in the right way to go faster from first click to final signature.
With the right approach, you can start making more while saving more and delivering the kind of personalized experiences that will move your customers quickly across the funnel.
In this guide, find fresh inspiration on data-driven campaigns to drive pipeline progression.
Translating the Gartner Magic Quadrant
In this conversation with Lee Hammond from Hakkoda and Patrick Crosby from Snowflake, we’ll take a look at why the customer data platform (CDP) is hitting prime time with a Magic Quadrant from Gartner now, what factors are behind the quadrant, and what this means for you.
Mastering Integration Patterns for Customer Data Activation
Customer Data Platforms (CDPs) have evolved from data repositories to robust integration environments, playing a pivotal role in customer data activation.
As businesses navigate the CDP market in search of the perfect solution, they need to examine a vendor’s integrations for destination platforms – the roadmap to integration success.
The 2024 Gartner® Magic Quadrant™ for Customer Data Platforms
A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors.
This year, Gartner unveiled their inaugural Gartner Magic Quadrant™ for Customer Data Platforms – naming those solutions that help connect a brands’ customer data with personalized experiences.
The Marketer’s Guide to AI for Business
When ChatGPT swept the scene, businesses began to take notice. ChatGPT introduced Generative AI to the public, offering opportunities to explore the possibilities of easier, more personalized marketing creation. Now, 40% of business executives have AI investments on their radar.
But what’s the difference between AI and GenAI, and how does it actually show up in the customer experience? We’re here to help.
Advertising After Third-Party Cookies With The Trade Desk and Slalom
Dig into everything that’s new in the world of advertising with experts Natalie Kansteiner from The Trade Desk, Rio Longacre from Slalom and Zachary Van Doren from ActionIQ.
CXAI Solution Sheet
CXAI is ActionIQ’s complete AI solution, purpose-built for the customer experience.
With ActionIQ CXAI, brands can explore the possibilities of artificial intelligence and its role in creating memorable experiences that enhance customer loyalty and operational effectiveness, bringing marketing, data and IT teams into the new era of GenAI.
How Brightspeed Deployed a Zero-Copy CDP in Weeks
Brightspeed is one of countless organizations prioritizing the move toward a warehouse-first infrastructure – enabling incoming customer data to flow in a way that it’s actually accessible and actionable. That began with finding the right CDP partner that could not only support that warehouse connectivity with the marketing user in mind, but deliver the promise of long-term architectural flexibility as the business evolves.
Going into their evaluation there was one key non-negotiable: replacing data copying from their data warehouse with direct access for their five marketing teams to Google BigQuery. But this meant cutting through a lot of smoke and mirrors of reverse ETL and warehouse-only solutions that could not deliver on robust omnichannel activation capabilities.
Hear from a seasoned CDP buyer and integrator as they discuss their evaluation and why they chose ActionIQ, how they were able to deploy on their data warehouse in a matter of weeks and key marketing use cases they are now able to execute as a result of eliminating data copy.
CDP Market Guide
Customer Data Platforms have emerged as a key element of a brands’ marketing stack — but not all CDPs are created equal.
There are several different kinds of CDPs — platforms with different strengths aiming to solve different parts of the customer data puzzle. But when every CDP seems to say the same things, it’s important to unpeel why these CDPs were created, who they were created for and the strengths and weaknesses that will make or break your customer experience and business goals.
In this guide, we’ll break down the CDP market, review key elements of each category and discuss the trends that will shape the CDP landscape in 2024.
Maximizing Marketing ROI With a Composable Stack: Separating Reality from Fallacy
Other brands can copy your style, tone and strategy — but they can’t copy your data.
Your data is your competitive advantage in an environment where enterprises are working to grab market share by designing can’t-miss, always-on customer experiences. Your marketing tech stack enables those experiences. That’s where we come in.
Join ActionIQ and Snowplow to see how we work together to flow every customer event in real-time and enrich that data — all in one place for easy access and intelligent activation. We’ll discuss the value of composing your stack – decoupling the data collection and activation layers to drive more intelligent targeting.
Future-Proof Your Customer Data Strategy with a Lakehouse-First Approach
Marketing and loyalty programs thrive on timely data insights, yet generating complete, customer-360 data views has never been more challenging. Companies must juggle numerous data sources, including transaction systems, websites, CRM, and inventory.
Hear how leading global retailer Skechers’ data team solved challenges using a flexible and scalable toolset plus a data lakehouse to unify, stitch, and maintain a massive amount of customer data. Skechers’ data team enables marketers to gain self-service insights so they can drive powerful business outcomes without relying on engineers and analysts.