Diversity and inclusion in marketing
Brands want to be in and out of the closet for Pride Month
Many brands ditched public Pride support while quietly continuing to market to LGBTQ+ consumers.
Marketing artificial intelligence (AI)
AI-generated code moves fast, but organizations still need governance, validation, documentation, and long-term maintenance workflows.
Fuel up with free marketing insights.
Diversity and inclusion in marketing
Many brands ditched public Pride support while quietly continuing to market to LGBTQ+ consumers.
The biggest risk in martech implementation may be confusing product expertise with operational competence.
More tools, more channels, and more data have left many marketers struggling to connect activity to outcomes.
MCP solves the infrastructure problem that kept AI agents stuck at the analysis stage. But raw access to a live ad account is a liability without the guardrails a platform like Optmyzr provides.
Optimization and personalization
Looking for statistics to support investing in marketing personalization? Use this data-packed roundup to secure your next personalization buy-in!
Marketing artificial intelligence (AI)
UK regulators are forcing Google to separate AI scraping from search rankings, giving publishers more control over content and traffic.
Marketing artificial intelligence (AI)
The company is building a platform that lets marketers use AI across the customer journey while maintaining governance, privacy, and data quality.
Your next client may find you through AI. Learn how B2B firms can earn mentions, citations, and recommendations in ChatGPT, Gemini, and Google AI Mode.
Marketing artificial intelligence (AI)
AI-generated code moves fast, but organizations still need governance, validation, documentation, and long-term maintenance workflows.
Salesforce introduced new marketing agents that can qualify leads, create content, launch campaigns, and optimize performance across channels.
Treating generative search as business as usual risks shrinking the very market search marketers should be expanding.
April’s HubSpot updates focused on reducing friction for your team and your customers. Here’s what you need to know.
Behavioral signals, intent data, and AI can improve personalization, sales alignment, and pipeline performance across complex buying journeys.
Doubling spend on a winning campaign can drive costs instead of revenue if there is no new demand to capture.
AI makes software easier to replicate. The vendors that last become part of how customers operate every day.
Salesforce reported a strong quarter, but marketing is taking a back seat to data and AI.
New research reveals a growing gap between how often people use AI search and how much they trust it.
Salesforce wants enterprises to drop static, channel-specific content in favor of 1:1 experiences at scale. So it went shopping.
Consumers often prefer AI-generated content when it is unlabeled, but trust drops sharply once they learn AI created it.
Warehouse native CDPs promise cleaner data, but marketers need new strategies to deliver fast, relevant experiences.
Effective measurement depends on connecting signals across MMM, attribution, and incrementality instead of forcing a single source of truth.
As referral data disappears, this framework helps you measure marketing momentum without relying on perfect tracking.
AI 1.0 saved time. AI 2.0 makes money. The marketers who win will be Positionless.
Google is giving retailers new AI visibility metrics in Merchant Center, offering a closer look at how products surface in conversational shopping results.
AI answers often surface only a handful of vendors. Learn how to improve your B2B brand’s visibility and shape how AI systems frame it.
Marketing artificial intelligence (AI)
Competitor analysis goes beyond dashboards and weekly reports. Here’s how to use AI to think ahead instead of catching up.
47% of B2B companies reduced marketing roles due to AI, often by quietly eliminating backfills rather than announcing layoffs.
The most valuable email marketers know how to apply AI across automation, personalization, analytics, testing, and customer journeys.
A new API report card reveals major gaps in the systems marketers depend on for automation and AI workflows.
Marketing artificial intelligence (AI)
Conversational AI is reshaping advertising through real-time recommendations, dynamic creative, and autonomous optimization.
There was an opportunity for marketing teams to harness AI and change the way they work, and Ryan Warren, chief CRM officer at Razorfish, says many missed it.
Most marketing activity creates attention. The campaigns that earn trust and action are built on genuine customer understanding.
Organizations say they value feedback, but employees and customers notice when leadership listens without taking action.
New guidance from IAB Tech Lab aims to help publishers and content owners decide how to manage AI crawlers, bots, and other non-human traffic.
What you need to know about marketing on Reddit. Updated with details on the wew features for app advertisers.
Automation dominates modern B2B selling, but the deals that matter most still close through human relationships.
AI can speed up every marketing team. The bigger challenge is avoiding commoditization when everyone uses the same tools.
Companies may be avoiding expensive platform migrations, but they're creating a growing integration and complexity problem.
Companies that organize and structure metadata have a major edge in AI-powered search and personalization.
Mailchimp is not shutting down, but Intuit’s latest comments suggest the platform is entering a very different phase.