Demand generation is a powerful B2B strategy focused on creating demand rather than gathering leads from an existing audience. This approach helps brands increase revenue, drive growth, and expand opportunities into new markets.
You might already be using it — but are you doing it right?
If your marketing metrics are confined to tracking website visits and leads, you might not be getting the most out of demand generation.
One of the main challenges of demand generation is its complexity. It requires leveraging multiple channels, multiple metrics, and multiple campaigns.
It's hard to track so many moving parts. But without data, you're flying blind.
This is why building a data-driven demand generation strategy is so crucial. Without data, you could be wasting resources on campaigns and leads that don't drive ROI. Plus, the B2B customer lifecycle has changed — companies want it to be there idea to buy your product, they don't like being sold to.
We'll walk you through steps for building a data-backed demand gen strategy, including how Leadfeeder can help you track the right metrics. Remember, the exact data points vary by industry, product, even specific campaign.
Note: Leadfeeder helps B2B organizations track demand generation efforts. Sign up for your free trial.
We've been talking about the importance of aligning sales and marketing for a while now.
However, with demand generation, it's more important than ever that sales and marketing get on the same page.
That means more than just collaborating to create an ICP — it means using data-specific metrics to define what a qualified lead really means.
Not just, oh we want companies in Utah with 400 more employees in tech.
You need more.
Do they meet the right demographic metrics? Are they using the software you integrate with? Are they interacting with your content? What channels are they on?
The definition of a qualified lead will vary by organization — it might even vary by account or campaign. The goal is to get on the same page and make sure both sales and marketing are focusing on the same metrics.
Depending on your situation, joint success metrics might include demographics, on-site actions, budget, use of a specific business system, etc.
The goal here is to get very specific about what a truly qualified lead looks like so sales and marketing can focus on the right prospects at each step of the funnel.
The first step of demand generation is expanding your audience by creating demand. The next step is nurturing those leads.
The issue is not all those new prospects will convert, which is why demand generation marketing success relies heavily on intent data.
With intent data, you can target prospects at the right time, rather than wasting effort nurturing every lead that shows up.
Like qualified leads, intent data varies by campaign, organization, etc. I strongly suggest focusing on first-party intent signals, which you have more control over. Then, assign points to specific actions and use that to calculate a score.
You can build a scoring system based on actions to track intent data, like this:
While similar to lead scoring, scoring intent focuses only on accounts that are already qualified. By tracking their actions, sales can reach out at the right time.
Marketing and sales should work together on this scorecard to ensure everyone is on the same page.
Then, use a tool like Leadfeeder to track intent data using custom feeds. For example, you can create a filter to track users based on what pages they visited or how long they stay on your site.
Too often, marketers and sales focus on metrics at the top of the funnel or at the close. Data-driven demand marketing requires an in-depth look at metrics throughout the funnel.
TOFU and conversion metrics are important — but tracking metrics throughout the funnel provides a clearer picture of the overall effectiveness of your demand generation efforts.
Which metrics should you track to see if your demand gen is paying off? Like most marketing and sales strategies, the answer isn't black and white.
What is important is to pay attention to the right metrics at the right time. Here are a few examples of metrics and when to track them.
TOFU: Engagement rates per campaign: In the beginning, demand generation marketing is about increasing engagement. If you create a new informative blog post, for example, you want to know how many people read or share it. Overall engagement rates are a vanity metric, but tracking per campaign shows what actions drive demand.
TOFU: Consumption metrics: Including page views, unique page views, etc. This helps track whether those early-stage demand generation metrics are working.
MOFU: Demo/trial conversion: With demand gen and ungating content, etc., the goal is to increase awareness in your ICP, improve quality of traffic, and see the results of increased hand-raisers coming directly to a site looking for a demo or free trial.
BOFU: MQL to SQL to conversion: Tracking how many marketing qualifications lead through to conversion indicates the overall health of your demand gen strategy.
BOFU: Close rate per channel: How many of your captured leads turned into sales? Tracking close rates per channel helps you see how well early demand gen efforts pay off.
Tracking channel metrics for demand generation helps highlight high-intent channels. But it's not the only way to track demand generation effectiveness.
Tracking account-based marketing metrics, such as the number of people visiting from a specific account or what pages they view, allows you to track specific organizations or ICPs as they move through the stages of the funnel.
Demand generation is becoming more account-based as cheaper ABM tools (like Leadfeeder!) become available. Using our custom feeds, you can view specific account activity, including how many times an account visits your site, what pages they view, exit pages, and more.
Using this data can help you refine your demand generation strategy and drive real results, not just blog views.
Launching a successful demand generation campaign can be tricky. Using a data-driven approach allows organizations to see what works — and why. This helps you build effective campaigns based on the metrics that matter most to you.
When you track the right data points at the right time, you'll be able to track performance in real-time — and tell which strategies are most effective for each ICP.
Leveraging data turns demand generation into an adaptive strategy that delivers results, not just more leads for you to sort. Note: Want more data to power your demand gen campaign? Leadfeeder can help. Sign up for a free two-week trial.
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