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.

The best Demand Generation candidates possess a unique blend of strategic thinking, creativity, and executional excellence. They deeply understand the product, messaging, and audience, enabling them to craft compelling go-to-market strategies. Creativity is key—they generate innovative ideas to activate campaigns and drive engagement. I was once tasked with building a campaign for a software product we were selling in the Retail space. To activate this beyond the run of the mill webinar and content, we decided to take over a luxury retail store in SoHo during fashion week. We hosted top customers for an exclusive shopping experience and a live interview with the famous designer that we also streamed online and amplified on social media. Because this was such a unique and memorable activation, we were able to close business and also drive awareness. In addition, a strong grasp of channel strategy and optimization is essential. These candidates know how to leverage paid media, content, email, events, and other channels effectively, continuously testing and iterating for performance improvement. They are resourceful and scrappy, thriving in fast-paced environments where they must do more with less. Beyond tactical execution, top candidates are natural leaders who can align cross-functional teams, collaborating seamlessly with product marketing, creative, field marketing, and sales. Their high emotional intelligence (EQ) allows them to navigate pressure with composure, influence stakeholders, and drive alignment across departments. Being data-driven is non-negotiable. The best candidates don’t just execute campaigns—they analyze performance metrics, extract insights, and refine strategies based on data. They understand pipeline impact, revenue contribution, and how to optimize for business outcomes. Ultimately, the strongest Demand Generation professionals balance analytical rigor with creativity, strategic vision with hands-on execution, and leadership with adaptability. Their ability to connect the dots between messaging, channels, data, and cross-functional collaboration makes them invaluable assets to any marketing team.

You're right this is hard to do, and I'm sure you'd get different answers from different Demand Gen leaders. When you lack historical data for a given region to inform goal setting, the two most useful inputs are a) business objectives and b) comps from other regions where you are marketing to similar buyers. Business objectives should inform your investment level, mix, and funnel metrics. For example, if you need to generate $1M in incremental bookings from the region by the end of your first year in that market and your typical sales cycle is 90-180 days, you know that you need to set MQL and pipeline targets in the first two quarters that provide sufficient coverage. Comps from other regions can also be useful in forecasting CPL and setting appropriate goals by channel. For example, if you are running SEM campaigns in North America, you likely already have a sense of the average cost per acquisition from paid search. You can then use tools like Google Keyword Planner, Ahrefs, etc. to determine which of your campaigns will translate to the new markets you are entering based on search volume, estimated CPC, etc.

If Demand Generation and Content Marketing were to share a single KPI, Marketing Engaged Leads (MELs)—also known as leads generated or new emails in the system—would be ideal. MELs provide a clear view of top-of-funnel content performance, it answers which blog posts, landing pages, and ad creatives drive new signups and grow the lead base. This KPI is powerful for understanding if content is attracting the right leads and if Demand Generation can scale paid traffic to that specific content effectively. However, there are additional KPIs and metrics to consider: For Pure Awareness Efforts: Content marketing can be assessed through web traffic metrics, such as page views and visits. It’s crucial to exclude any artificial traffic boosts, like those from paid promotion or newsletters, to get an accurate picture. I recall a time when a niche topic seemed highly successful in page views, only to later realize the blog post’s high traffic came primarily from onboarding emails rather than organic interest. Further Down the Funnel: Content and Demand Gen can align on KPIs like opportunity creation and revenue influenced by content. For instance, did a particular piece of content serve as the last touchpoint before someone started a trial or before sales created an opportunity? This alignment is even stronger when the sales team leverages content in outbound efforts, showcasing its value directly in the sales process.

It's not too different from your traditional demand funnel/waterfall and KPIs, but instead of leads > MQLs > SQLs > Opportunities > $ pipeline, your funnel should start with web traffic, both from an aggregate perspective, as well as the core pages you want to drive users to sign-up for your self-service offering. Quality web visitors are essentially your "leads," and from there you measure conversions to your sign-up pages, web trial downloads and starts, paid users, and eventually upgrades, expansion, etc. Then depending on your martech sophistication you can get extremely granular with your UTM parameters to measure where traffic is coming from, whether by channel (i.e. organic search, SEM, paid media, organic social, etc.), tactic, campaigns, etc. and continually optimize based on where you're seeing the greatest conversion throughout the self-serve funnel.

* Net Promoter Score (NPS): While it’s a decent pulse check for customer sentiment, it doesn’t always correlate with growth or revenue. * Bounce Rate: Taken in isolation, it’s rarely actionable and often misunderstood. * Click-Through Rate (CTR) Alone: CTR without downstream metrics like conversion rate or cost-per-lead is incomplete. * Time on Page: Without context, this doesn’t tell you if the time spent was valuable.

AI will complement Demand Generation. AI is only as bright as you train it to be, so smart marketers need to choose the right dimensions and factors for AI to leverage. Tools will only get you so far, but ultimately, without humans to spot-check efforts, you will see AI learn and optimize for the wrong things and then provide a poor customer experience. I’m excited about AI’s future in Demand Generation. I believe that if you create strong foundational elements like taxonomy, reporting infrastructure, CDPs, content management systems etc., and then you feed all your data into a single place, you can use AI models to serve the right offer to the right person in the right place across their buyer’s journey. But you must have the right people with the technology prowess and the creativity to alter offers to improve your results and truly create an omnichannel journey.

Here are some ways to get started 1. Align on goals and how success will be measured for you 2. Input tour from your partners and stakeholders to inform your plan 3. Create your vision/strategy for how to deliver on your goals/targets to align and socialize with your manager and stakeholders (your marketing team and sales as focus points) 4. Be open to feedback and incorporate the feedback as you socialize your plan. 5. Spend time is developing and setting up my measurement frameworks. This is how you're going to point to value and impact from #1

To determine the KPIs you want to track, it's important to align with stakeholders on which KPIs matter most. While there may not be an inherently "wrong" KPI to track, some may require more analysis to understand the full picture. Here are a couple of examples: 1. Email open rates can indicate interest in a topic or message, and can be useful for benchmarking overall email engagement. However, open rates aren't always the most accurate due to bots, email client blocking, or privacy features. Instead, I'd recommend click-through rates if you're looking to get a better understanding of how people are engaging with your emails and taking action based on the message 2. Website visits are certainly an important KPI to measure, but they should be analyzed and segmented, especially from a demand generation perspective. For instance, if your organization has recently released new open roles, it may cause a spike in website visits, but these visits may not necessarily convert into customers

Alignment with sales is extremely critical for marketing to succeed. And alignment begins with communication. * Publish a marketing calendar in advance, where everyone can view the activities that are coming up, irrespective of their degree of involvement. This helps the broader team feel a part of the program, as well as uncover new ideas from different cross functional teams * Share a weekly update over a call or email/newsletter highlighting the key demand gen metrics that are being tracked * Democratize access to marketing dashboards, so that everyone can view data in real time * Quarterly and annual wrap up reports help present an overall picture, especially in context of the goals set at the start of the quarter/year