We use a centralized dashboard that aggregates data from all our tools (e.g., CRM, marketing automation, analytics platforms). Each channel has its own set of KPIs that align with its role in the funnel. For example: * Top-of-Funnel Channels (paid social, SEO): Impressions, clicks, and conversions to MQLs. * Mid-Funnel Channels (email, nurture campaigns): Engagement rates, MQL to SQL conversion. * Bottom-of-Funnel Channels (ABM, sales assist): SQL to opportunity and pipeline generated. Weekly syncs help us identify trends and recalibrate if needed. Transparency is key—everyone on the team knows the KPIs we're tracking and their impact on the broader goals.

Always be open to feedback. Any feedback either positive or negative is a gift. There's always opportunities to improve and grow no matter how much experience you have. In your case, if you don't agree with the feedback, I would ask for examples on how you could have done something differently, or better. Your boss may not see eye to eye with you and that's okay, but as long as you can show impact through your work, numbers don't lie.

Depending on your organization’s goals bringing in sales, CS, and operations can be key to running successful Demand Generation campaigns. I have more experience working in the B2B Enterprise space and the relationship with Sales and CS has been important to success. * In large-scale Enterprise sales (where deal lengths can extend beyond a year), the Field (sales, sales engineers, etc.) is critical to moving a deal from TOFU opportunities to POC and closed-won opportunities. Sales can help you understand the core influencers and buyers in the sales cycles and the problems customers are trying to solve. It’s important to align on the top accounts and how you are best positioned in the market. * Customer Success becomes more important in B2B buying cycles because customers who churn are very costly to the business. In addition, happy customers will buy more over time. If you have a large product portfolio, CS can be another seller for you, helping drive additional upsells and cross-sell opportunities in the buying cycle. Both of these teams help accelerate opportunities and can provide a unique perspective you may not have considered in past Demand Generation campaigns. 

Don't believe the "experts". NO ONE knows the answer to this question with confidence). All that said, here are my hot takes: AI will have an impact on your career as a Demand Generation professional in the medium term. How? -Automation of your routine tasks: AMEN. This is a great thing and will allow us all to spend more time focused on more interesting creative and strategic problem solving. -Enhanced Data Analysis: Again, this is rad. Imagine you have your own, personal data scientist to help you parse the reams of data we collect as marketers, and develop real and impactful business insights. -Personalization at Scale: More great news here. AI will help us personalize sales and marketing interactions beyond the hard limits of 1:1 "account based marketing". That means more net new leads, more qualified leads, more opportunities, higher average deal sizes, more closed won and happier customers. -Improved Lead Generation and Nurturing" See above for personalization; it will have a meaningful impact on our ability to ship the right ad to the right prospect at the right time. It will help us customize our nurture streams and produce the right content. This is great news for all of us. -Content Creation and Optimization: This is probably where you can see the biggest impact RIGHT NOW. If you are not using free, off the shelf tools for content ideation, outline creation, narrative flow, H1 & H2 creation and editing for readability....you are missing out. Will this replace the Content Marketing Manager or Copyeditor role anytime soon? I don't think so. It's just going to make them more productive. -Real-time Customer Insights: I don't think we're here yet, but I think it's coming and it's a GREAT THING. In near-future states, AI will provide real-time insights into customer behavior and engagement, allowing for more us to be responsive and pivot quickly to marketing strategies. The big question for us human working professionals is, "can we increase our agility and be prepared to quickly adjust campaigns based on these insights?" -Skillset Evolution: Ok so this one is INTERESTING. You want to take a risk and get ahead of building an inevitably hot, in demand skill? Invest in your query development skills (I recently heard of a startup shutting down for a month to train their entire staff on this). Get proficient in using AI tools and platforms, understanding AI-driven analytics, and how businesses can integrate AI into your overall strategy. All that said, I don't think AI will replace your role in the next 5-10 years, provided you embrace and leverage the tools that are rapidly becoming made available to you. In the long term - ten plus years - AI will almost certainly transform the the role. Maybe even eliminate it as it stands today. But there's no need to panic. It may be hard to remember, but there were no "Demand Generation Managers" 20 years ago. And Marketers like you and me still have jobs.

Structure depends on the size of the organization, the GTM motion (sales-led or product-led, for example), and where the business is in its growth and maturity lifecycles. You can organize these roles in multiple ways, but it's crucial to avoid a bloated org; you don't want it too wide (+6 direct reports), and you should be cautious of having one manager with only one direct report. The core functions that run the demand engine must include integrated campaigns, digital demand, and event and field marketing. If you're a larger organization (over $50M in ARR), you'll likely build out an ABM and Customer Marketing function. The ABM arm can operate independently under your VP or Sr. Director of Demand or be nested within Integrated Campaigns or Digital. Customer Marketing typically sits with Demand or PMM, depending on the business goals. Integrated Campaigns: Works closely with Product Marketing on core business themes, leveraging them to build audience-first campaigns. Campaigns are not just eBooks or webinars but a collection of assets targeting a core audience across the entire account lifecycle. Measuring integrated campaigns can be tricky, so it’s important to measure signals via leading indicators like asset performance, audience engagement, lead creation, MQL conversions, and pipeline sourced and influenced. I spoke about this in detail at my 2023 SaaStr talk, check it out here. Digital Demand: Manages your inbound digital funnel; paid, organic, and owned properties. They activate, acquire, and convert leads across multiple channels, working closely with integrated campaigns, Product Marketing, Brand/Creative, and Content. This team often includes digital (paid and organic) associates and conversion rate optimization and analytics managers. They also manage key agency relationships. Monitoring leading metrics ensures efficiencies in ad spend, including impressions, CPL, CPMQL, first touch conversions, pipeline sourced, and pipeline influenced. Field and Event Sponsorships/Marketing: Manages in-person, virtual, and hybrid events, aligning with broader marketing goals. Event shapes vary based on GTM motion and core ICP. Efficient event spending requires field sales team enablement, clear objectives, audience targeting, and budget management. Key activities include logistics, content creation, and promotional campaigns. The golden thread principle comes to life here, as events reach your target ICP, and the team must work closely with PMM on positioning, campaigns on content and activations, digital on promotion, and customers on participation and engagement. Performance metrics, feedback collection, and data analysis measure event success. They track pre-event engagement, day-of metrics, and long-term pipeline and revenue metrics, ensuring new and the right audience engagement.

Start with understanding what the business cares about most. All Demand Gen teams are expected to help drive pipeline and bookings, but you should try to get as much context on both as possible. For example, is the business trying to move upmarket? If so, over what timeline? To what extent do your current-state investments support that objective? Are you hiring new reps? If so, in what segments/markets? The closer you can align your Demand Generation strategy to business objectives, the easier it will be to establish appropriate metrics for the team. For example, in the hypothetical above (i.e., business moving upmarket over X quarters), you will need to establish goals tied to growth within the Enterprise or Mid-Market segments instead of setting holistic lead, pipeline, and marketing-originating bookings goals.

The quickest answer for demand generation would be impact to pipeline and bookings produced. How you represent that is a longer answer that would include the ability to show how different marketing channels and engagements impact each phase of the buying journey/funnel/flywheel. For example in the awareness stage showing how many targeted impressions you got is important, how many web visits, how many demos or contact sales submissions, how many quality leads did marketing produce. Those numbers hold meaning as they relate to the way they impact the bottom line of pipe and bookings A few ways to look at content performance - web engagement rates, if it's gated content then conversion, SEO metrics.

It’s crucial for Demand Generation professionals to see how their contributions align with larger company goals and strategy. This fosters a sense of purpose and keeps them invested in the organization’s success. Given the cross-functional nature of the role, offer senior team members the opportunity to lead strategic workstreams rather than being limited to tactical execution. This not only increases their impact but also enhances their leadership skills and long-term career prospects. To retain top Demand Generation talent, provide a clear career path with opportunities for growth. Ensure they are continuously challenged with stretch projects that expand their skill set and keep them engaged. While empowerment is key, leadership must also offer necessary support and “air cover” to help them navigate obstacles effectively. By fostering growth, empowerment, and strategic involvement, you create an environment where top talent feels valued and motivated to stay.

Demand generation often serves as a bridge between sales and product, but the way I collaborate with each team can vary significantly. Here’s my high-level approach: * Understand business goals and metrics: Focus on understanding the goals and metrics each team owns. Sales typically tracks revenue-related KPIs like pipeline and bookings, while the product team focuses on adoption metrics - such as activation and retention - and usage, including breadth and depth. In self-serve model, product might also prioritize the growth of paying customers and self-serve revenue. To align demand generation efforts, work to establish shared goals or, at minimum, clarify how marketing supports these objectives. * Use BI reporting for alignment: I eliminate silos with joint dashboards built in Tableau and Looker, tailored to each team’s needs - real-time pipeline for sales, usage trends for product. Understanding how data is captured ensures reporting aligns with their priorities, keeping everyone on the same page. * Create consistent rituals: We review these dashboards in weekly or bi-weekly cadence with respective teams, spotting business trends and adjusting demand gen/ sales/ product strategies. Note: You can also create separate reporting for operational purposes, tailored for the marketing team to use alongside joint dashboards Example of marketing/ sales alignment: * Marketing contributes % into the overall pipeline. * Marketing/ sales meet weekly using Tableau, pulling data from Salesforce and other sources and analyze top-funnel (eg. leads, MQLs, SQLs) and down-funnel metrics (eg. meetings, Stage 1 opps), tracking conversion rates between stages. This reveals issues - like slow MQL-to-SQL progression - prompting discussions and joint solutions. Example of marketing and product alignment: * Marketing plays a crucial role in driving customer acquisition and activation. * Collaborate with the product team to use Tableau or another tool to track and visualize performance metrics end-to-end, from acquisition through to retention and paid conversion.

Similar to the question about worst KPIs, I believe vanity metrics and volume KPIs are often too easy to manipulate and can be used to tell a misleading story. Metrics like email open rates and click-through rates can be artificially inflated by bots. Lead counts and sign-ups can also be influenced by acquisition campaigns that don’t necessarily bring in high-quality prospects. Likewise, a low cost-per-lead (CPL) is often over-hyped; in the end, what matters is quality, bottom-of-funnel conversion. Constantly feeding the top of the funnel with low-quality leads won’t actually move the needle.