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Here’s what I think that means… From the moment there was more than one software product in a company’s tech stack, there’s been jockeying to determine who was boss. If the tech stack were an orchestra, which product would be the conductor? They pretended other products weren’t necessary or important.
The CDP can also act as a source of truth for things it uniquely orchestrates, like on-screen dialogues or personalization. CDP as your activation hub A CDP is designed to house all of your customer data and connect to other systems, which can make it a good place to orchestrate campaigns. That’s not always true.
Beyond single-step tasks: The potential of full-process orchestration While many AI applications today focus on single-step tasks, the real transformation lies in full-process orchestration, which AI agents (in the future) will manage autonomously. True full-process orchestration is still emerging but rapidly evolving.
By targeting existing customers, you can use their marketing funnel engagement data, sales data and product usage data to create tailored growth plans, keeping expenses manageable while maximizing impact. Higher win rate due to known customer behavior and product usage patterns. Cross-channel orchestration.
B2B organizations have perpetuated an antiquated, fundamentally flawed model of sourcing pipelineone that breeds internal dysfunction, erodes productivity, and completely contradicts the core principles of executing an effective account-based strategy. The broken model? Dividing opportunities into marketing vs. sales-sourced pipeline.
Data and infra layer : Platforms make AI outputs smarter by enabling better data orchestration and model reliability. In recent months, I’ve been testing how Custom GPTs perform inside real B2B GTM workflows across campaign planning, ABM orchestration and content production. Here’s what worked — and where there’s room to grow.
“If the tech stack were an orchestra, which product would be the conductor?” Essentially, that’s where we still are today, although orchestrating and integrating large collections of apps and making the data flows between them make sense continues to be challenging. But let’s not overlook iPaaS.
🛠 Tools & Tech: Encompassing tech stack strategy and optimization, solutions architecture, custom tooling, platform integration, and product management. —it’s about orchestrating all these functions to drive efficiency, scale, and business impact. Design inspiration from LXA.
Product management. A project to establish robust cross-channel orchestration requires input from individuals across different parts of the organizational chart. For instance, understanding data and how it flows between systems is essential when working on orchestration and personalization efforts. Programming. User enablement.
Journey orchestration likely enhances personalization’s value exponentially, growing with each customer interaction. To address the cost-to-value dilemma effectively, journey orchestration must evolve from an art form to a systematic and industrialized discipline. Economists call this activity-based costing.
The agent presents its findings, and you, the orchestrator, refine, instruct further, and narrow the results with unparalleled precision. Whether the output is production-ready or serves as a powerful ideation tool for human creatives, it accelerates content velocity at a scale previously unimaginable. And the best part?
Why it matters New media (YouTube) and other social media platforms are disrupting old media but AI is the next revolution and replacing expensive production with instant creation. 97,000+ words of auto‑generated product descriptions and 8,300+ avatar movements In just 26 compared to a full 6 hour session of his in-person streams.
At its Adobe Summit event in Las Vegas this week, Adobe launched Adobe Experience Platform (AEP) Agent Orchestrator, which the company says lets businesses build, manage and orchestrate AI agents from Adobe’s ecosystem and third-party sources. What is Adobe Experience Platform Agent Orchestrator? Processing.
Existing martech giants like Adobe, HubSpot, Microsoft, Salesforce and SAS have aggressively integrated new AI capabilities into their products, leveraging both generative and traditional machine learning. Cloud data warehouses are becoming essential for aggregating and orchestrating data.
The reality of intent signals As marketers, we’ve been told that there is a connection between a “signal” of a prospect seeking information with their interest in your company or product and assumed that a response to an offer made could imply they’re “in the market to buy.”
7️⃣ Product Activation Metrics This report shows how users progress through onboarding steps. Data Orchestrators : Those who connect proprietary data to AI systems effectively. Product/Customer Marketers : Individuals with deep customer empathy and strategic insight.
Orchestrating your platforms The nature of SMS lends itself to slightly more urgent and more direct messaging. SMS is more suitable for short, impactful messages with a stronger sales focus, so its an ideal platform for announcing a new product or special offer and notifying customers when a sale is about to end.
Web production and personalization: Tailoring digital content for engagement This team customizes web experiences to align with each user’s preferences and behaviors, mastering content management systems (CMS), data insights and personalization tools. Key contributions: Designing operational workflows that increase productivity.
While many SaaS companies push product adoption, it starts by addressing the underlying business transformation required for success. We position ourselves as a solution, not just a product or platform.” . “It’s not the tool that solves the problem. “It’s not about signing a contract and being good to go.
However, this approach is complex and requires customer-centric, cross-functional methods and well-orchestrated customer journeys spanning multiple channels based on customer needs, with effectiveness measured across these channels and variables.
We'll feature six badass martech products in a fast-paced session where Jacqueline, Justin, Phil, and I will help judge. And it takes tremendous skill, experience, and drive to orchestrate it effectively. Block off your calendar for May 9th at 12 pm EST. The first-ever Shark Tank-style martech spotlight session is happening!
Semi-autonomous marketing operations The latest in a string of AI-related buzzwords is related to agentic AI or systems that orchestrate sometimes complex workflows, end-to-end, with little to no human input or interference.
But instead of mapping your way to grandma’s house and highlighting the various roadside attractions and stops along the way, you’re mapping the journey your customer takes with your product or brand. Departments like IT, product and customer success/service are all involved. Dig deeper: Customer journey orchestration.
Amid the extremes, one category quietly surged: Product Management. Product Management is the backbone of a growing shift where brands dont just buy martech they build it. AI now orchestrates complex, multi-step processes across platforms using tools like Zapier and n8n. AI goes from a productivity layer into a process engine.
Instead of costs going down as production increases, they are going up. Searchspring combined with Klevu to create Athos Commerce, an integrated platform for ecommerce product discovery. Lucidworks released its AI orchestration engine, allowing businesses to manage their generative AI initiatives.
Many have only worked in one or two areas of marketing, like demand gen or content, and lack the experience with brand, product marketing, operations, analytics and sales alignment needed to grow a company. They require the orchestration of: Product marketing. This misstep introduces significant risk. ICP definition.
Generative AI: Revolutionizing Creative Production 4. AI-Driven Marketing Orchestration 5. Generative AI: Revolutionizing Creative Production AI isnt just for writing blog posts. AI-Driven Marketing Orchestration AI will become the central nervous system of campaign management. Hyper-Personalization Powered by AI 2.
It enables organizations to collaboratively manage the creation, aggregation, orchestration and delivery of content to omnichannel touchpoints, according to Forrester. A centralized hub breaks silos, enabling shared resources, better collaboration, and faster content production.
Journey Optimizer is Adobe’s application for orchestrating personalized customer journeys across channels and devices. The aim is to design, orchestrate and execute campaigns that are relevant to each customer. That’s why we see a steady stream of product announcements that inch towards getting personalization done.
Syndigo released a Product Experience Cloud for Brands, an AI-native platform that centralizes product data, enables syndication across business channels, and provides real-time performance analysis.
Generative AI Revolutionizes Creative Production AI tools like DALL·E, Pictory, and Canva’s Firefly are streamlining content creation, making high-quality graphics and videos faster and more cost-effective to produce. All right, another one with AI directly in the title number three, generative AI led creative production.
The revamped Firefly platform integrates Adobe’s generative AI, as well as genAI from OpenAI and Google, to improve ideation, creation and production of content formats from a single interface. Dig deeper: Agent Orchestrator launchesAdobeinto the agentic age Other additions include: Integration with Creative Cloud.
The company unveiled the Product Support Agent and announced the general availability of the Data Insights Agent, both leveraging Adobe Experience Platform Agents to integrate generative AI into everyday creative and marketing workflows. Data Insights Agent is the first agent built on the Adobe Experience Platform Agent Orchestrator.
Companies shouldn’t call their product a CDP if it doesn’t fit the requirements. If your focus is on creating rules to orchestrate and automate marketing campaigns, you might just need a Marketing Automation Platform. If I buy something that’s labeled as soap, I want it to do what I expect soap to do.
The model creates commercially safe, production-ready video content. Mindmatrix launched BridgeAI, a solution for ecosystem orchestration. Amplitude launched Guides and Surveys, tools for in-product user guidance and feedback collection. Warpvideo AI lets users create professional-quality videos using a browser-based interface.
Customer journey orchestration (CJO) uses different tools to provide seamless experiences for customers and increase revenue. Because customer journey orchestration casts a broad net across the entire customer lifecycle it’s essential to have a strategy for your technology. Who was involved?”
At the center of the commercial martech landscape , incumbent products and platforms have been rapidly adding new AI capabilities. But there’s also a flood of thousands of new AI-native martech products. But there’s more happening beyond commercial SaaS products in the martech landscape. Is this incredibly exciting?
One CMO did this by having sales, IT, customer service and product leaders get together for a two-day offsite. Your position at the intersection of customer experience, data and technology makes you the ideal orchestrator of cross-functional alignment. If you’re serious about integration, roll up your sleeves and lead.
Off to the races We spoke with Kevin Wang, Braze’s chief product officer, about composability just as Braze launched a new offering, the Braze Data Platform. “The ability to pull data from a data warehouse directly with the very seamless, automated transitions we facilitate, that for us is relatively new,” Wang said. .
Creating a great customer experience is a top priority for most brands because customers value the entire journey, not just the products or services they purchase. Product and service lines This collaboration between people includes the teams or departments that may be focused on particular products or services.
AI customer engagement frees up your team to be more productive Most marketing and care teams are already using AI in some form, and its quickly become a powerful ally in the fight against burnout. But its important to say this clearly: The goal isnt to replace people. Its to free up their bandwidth for more important strategic work.
The integration of LLMs into marketing workflows and automations enables a number of creative and productive use cases: 68.7% Earlier this year, we discussed the seeming free-for-all around digital ops orchestration with AI. Instead of often outdated third-party data about a company, you can now get it straight from the source.
With on-site interviews of parents and students, B-roll, drone footage and uplifting music, the production quality is especially impressive and illustrates the campus’ beauty. But they also complement the high quality production footage with lo-fi POVs from their students. Engage your audience by centering their experiences.
Why the old playbook no longer works Product “pitch-slaps” are doing more damage than good. The result is not just a multilayered strategy but requires the orchestration of these factors for each large deal cycle. As a result, they require more trust, deeper knowledge and broader internal validation than ever before.
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