Remove Campaign Remove Government Remove Objectives and Key Results
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How marketers can break free from decision fatigue

Martech

Cut costs but don’t cut the results As you’ll see in Slack communities and subreddits, teams are being asked to cut costs while still driving results. Yes, AI can improve productivity, but that brings a whole new group of decisions to be made in how we use it, how it’s governed, etc.

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Improving marketing operations performance: Best of the MarTechBot

Martech

Answer: To improve marketing operations effectively, consider focusing on the following key areas: 1. Marketing technology stack management: Ensure you have a well-integrated marketing technology stack that aligns with your marketing objectives. Use insights gained from performance data to make informed adjustments to your campaigns.

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6 marketing team silos you need to break down, and how to do it

Martech

But even in this cross-functional world, many teams struggle with internal silos — departments or individuals operating in isolation, hindering efficiency, consistency and results. Campaign planning in a vacuum Marketing teams often plan and execute campaigns in isolation, without much input from teams like sales, product or customer success.

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Applying Marketing Orchestration Across Go-to-Market (GTM) Strategies

Heinz Marketing

Marketing orchestration, often viewed as the next evolution in marketing operations, focuses on creating synergy across channels, teams, and technologies to drive consistent and scalable results. Solution : Establish a single source of truth for performance metrics that align with broader business objectives.

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AI agents offer a glimpse into a potentially simplified future

Martech

The result is a “Frankenstack” of systems requiring ongoing IT and system integrator support to function. AI could radically streamline tasks such as segmentation, personalization, creative adaptation, data cleansing, campaign optimization and more. Challenges Data quality and governance: AI is not a magic bullet.

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The 5 key pillars of AIOps in marketing

Martech

Analyzing campaign performance data. Governance. It’s important to document key details on each project, such as goals and objectives, the source of data input, AI tools used, target metrics, risks and results, so that AI efforts can be quantified and reported on to provide an understanding of the efficiency they may result in.

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CMOs, CEOs and marketers are all struggling with martech data issues

Martech

Marketing teams can’t execute unified campaigns. These findings suggest that many organizations invest in martech tools without first addressing foundational needs such as data architecture, governance and literacy. Establish martech governance Create a formal martech evaluation process before purchasing any new tool.