A challenger brand takes on the stacks
Stacks built on best-pf=breed tools carry an integration tax on top of brittle APIs that lead to data loss. Is there a better way?
Programmatic fraud often hides behind opaque supply paths, weak verification, and poorly curated CTV inventory.
Fuel up with free marketing insights.
Stacks built on best-pf=breed tools carry an integration tax on top of brittle APIs that lead to data loss. Is there a better way?
At the May MarTech Conference we discussed activating first-party data to drive results without compromising customer trust.
The advertising leader and its partners aim to help marketers with one of today's most significant challenges. But details are sketchy.
Move beyond generic cold outreach and generate more qualified engagement with signal-based outbound strategies.
Programmatic fraud often hides behind opaque supply paths, weak verification, and poorly curated CTV inventory.
Stop chasing AI tools and start building agents. At the May MarTech Conference, we discussed redesigning workflows to reclaim time for strategy.
AI makes it easier than ever to produce impressive work. It’s also making it harder to tell who actually understands the strategy behind it.
AI is making marketing influence harder to track. Here’s how to avoid misleading attribution data and make better investment decisions.
Marketing artificial intelligence (AI)
A new Gartner survey finds most marketing organizations are investing heavily in AI while lacking the processes and infrastructure to scale it successfully.
See how agentic AI can scale, automate, and optimize workflows across marketing, sales, IT, and compliance with 24 real-world use cases.
Stop choosing between AI efficiency and human trust. At the May MarTech Conference, we discussed using data for stories that resonate with buyers.
Medallia’s debt crisis reveals how private equity ownership can quietly reshape the software marketers depend on.
A new standard aims to unify fragmented data, helping ABM programs deliver coordinated, real-time experiences across tools.
When marketing teams lose faith in enterprise platforms, unofficial tools and hidden workflows take over.
Marketing artificial intelligence (AI)
The challenge is no longer collecting information, but making organizational knowledge accessible when decisions happen.
Learn how to optimize for AI-driven discovery across Google Search, Maps, and Gemini in this exclusive webinar with SOCi and Google.
Personalization fails when it feels like surveillance. At the May MarTech Conference, we discussed building trust throughout the customer journey.
New report shows consumers are using AI more, which likely explains growing skepticism about its accuracy, automation, and influence.
Learn how to turn internal expertise into content that stands out in a sea of AI generated sameness.
Use video interviews, transcripts, and retrieval-augmented generation workflows to create more original and differentiated content.
AI-generated summaries and prioritization could determine which emails actually get seen and which disappear into the background.
Amplitude gets the Statsig platform and customers, but OpenAI keeps the team that built the technology.
Marketing artificial intelligence (AI)
Wall St. Journal warns AI growth may be fueled by subsidies and partnerships, not real demand, raising risks for marketers betting big on AI vendors.
Strong customer relationships are built through consistent actions, shared goals, and a genuine commitment to customer success.
Optimization and personalization
Most personalization plans collapse during execution because operational realities don't match the vision.
Complex campaigns break down when platforms, channels, and data flows fall out of sync. Martech helps keep customer journeys aligned.
AI-driven search draws on broader signals, exposing gaps in fragmented campaigns and favoring brands with a consistent, cross-channel presence.
New platform capabilities aim to connect data, channels, and agents so customer conversations carry context across every interaction.
On the surface, not much has changed about B2B lead generation, but the infrastructure behind the data is more vital than ever.
Marketing artificial intelligence (AI)
From compliance exposure to lost revenue, weak governance is turning AI gains into hidden liabilities.
Return on ad spend can’t explain growth. Here’s how to evaluate marketing’s true contribution to business outcomes.
Why single-metric wins, short test windows, and surface-level analysis in email marketing hold your program back — and what to do instead
From deepfakes to unlicensed assets, new risks are emerging. Learn how governance and workflows can keep them in check.
Flat growth masks a deeper shift as AI moves to the center of value creation and forces a rethink of how martech stacks are built.
Digital video now more than 60% of TV and video spend, so advertisers are prioritizing AI, precision targeting, and measurable outcomes.
Your guide to LinkedIn's tools, strategies and best practices. Updated with information about the new off-platform event ads.
When everyone targets the same in-market accounts, pipeline suffers. Learn how to build custom signals your competitors don’t have.
AI answers are shaped by sources beyond your site. Understand which platforms matter and how to ensure your brand shows up accurately.
Despite AI reshaping markets, most CMOs are still seen as execution-focused, creating a gap that threatens their strategic relevance.
As revenue tech stacks merge, B2B teams need new structures, shared metrics, and cross-functional pods to break silos and drive growth.