Beyond the Click: Uncovering Hidden Pitfalls in Google’s Demand Gen Campaigns

Demand Gen Campaigns: Is That Spike in Conversions Real—or Just Attribution Magic?

Google Ads’ new Demand Gen campaigns promise a fresh way to connect with prospects using high-impact visuals across YouTube and Display. At first blush, the performance numbers can look astonishing: a surge in conversions with only a modest increase in ad spend. But are you really generating more demand—or simply re-claiming conversions that would have happened anyway?

This article dives into an in-depth case study of a Demand Gen campaign that seemed to outperform previous efforts by hundreds of additional conversions. By peeling back the layers of attribution, we discovered a different story—one of Engaged View Conversions (EVCs), warm audiences, and existing brand demand that got misattributed to the new campaign. Here’s what happened and how you can avoid a similar trap.

1. The Top-Line Results Looked Fantastic…

Our Demand Gen campaign was launched and ran for just over three weeks. In that time:

• Ad Spend: $30,000 in ~20 days.
• Conversions: Jumped from 137 to 377 (and eventually soared to 1,500+).
• Cost vs. Conversions: A meager 9% increase in cost was apparently delivering 80% more conversions.

At first glance, it was every advertiser’s dream scenario. Imagine cutting your cost per conversion in half while doubling your total conversions—who wouldn’t want to scale that?

2. …But the Deeper Data Told Another Story

As always, “trust but verify” is the mantra. Here’s how we dug in:

1. Comparing Conversion Actions
   We noticed that the lion’s share of new “conversions” came from a particular action: Info Kit Requests. We expected to see a corresponding uptick in qualified leads (i.e., form fills that sales could actually connect with). We did not.
2. Engaged View Conversions: The Culprit
   Splitting by ad event type revealed a huge jump in Engaged View Conversions (EVCs). These occur when someone watches a YouTube ad for at least 10 seconds and converts within a set time window—without necessarily clicking the ad.
   • The campaign went from 205 EVCs to 1,334 in two weeks.
   • Actual click-based conversions increased only modestly.
   • Qualified leads (the ones we measure in CRM) barely budged.
3. Warm Traffic Overlap
   We traced EVC spikes back to existing warm audiences (website visitors, brand-seekers, or folks brought in by other marketing channels). Because the Demand Gen campaign had no strict exclusions, it was easily retargeting these people. When they eventually filled out a form (for example, after visiting directly or via brand search), the Demand Gen campaign snagged EVC credit.

3. Spotting the Mismatch in CRM and UTM Data

When examining:

• CRM Data: The count of actual new leads (qualified and in conversation with sales) barely moved.
• UTM Parameters: If Demand Gen truly drove hundreds more qualified leads, the CRM forms should have included matching UTMs. They didn’t.

Meanwhile, brand-search conversions declined slightly, even though the brand campaigns were capturing nearly 95% Click Share. This drop suggests that some conversions normally attributed to YouTube or brand search were getting siphoned into Demand Gen’s EVC bucket.

4. Is Demand Gen Really Creating Demand?

One key question: “Is it creating new demand or simply attributing more existing demand to itself?”

• Our brand campaign was already maxed out, capturing nearly all brand-related traffic—spending about $14-15k a day at ~94% Click Share. If Demand Gen was truly sparking a surge in new interest, we’d see a corresponding spike in brand searches or direct traffic. Instead, brand conversions dropped by 14%.
• Meanwhile, overall site traffic and new UTM-tagged leads showed only a minor increase, nowhere near the 550% jump in Demand Gen conversions.

Conclusion: Demand Gen was predominantly scooping up EVC credit for people who already knew about the brand or were already going to convert.

5. Implications for Your Campaigns

1. Engaged View Conversions Are Not the Same as Click Conversions
   EVCs can be misleading, especially if your campaign settings or targeting allow re-engagement of warm audiences. They’re not necessarily “new” conversions.
2. Check Your Exclusions
   • Exclude 90-day (or longer) website visitors, existing customers, and other audiences you deem “already engaged.”
   • This helps avoid double-counting or cannibalizing brand demand.
3. Verify With Offline or CRM Data
   Google’s metrics can be compelling, but confirm with:
   • Actual leads in your CRM
   • UTM-tagged forms
   • Other marketing channels’ data
     If you don’t see parallel upticks there, something’s off.
4. Segment Data by Time and Conversion Action
   Splitting out conversions by event type (click vs. engaged view) and by day helps you spot suspicious spikes. If EVCs climb at a rate that click-based conversions and brand searches do not, re-check your targeting and attribution windows.
5. Don’t Let “Amazing” CPC/CPA Numbers Trick You
   A slash in cost per conversion might simply be Google optimizing for easily attributable events—like brand-driven or retargeting-based actions.

6. Key Takeaways

Always Dig Deeper

When performance looks too good to be true, it usually is. In our case, a massive 80% lift in overall conversions was, in reality, just Google Ads attributing Engaged View Conversions from warm audiences that already intended to convert.

Mind Your Conversion Paths

Demand Gen campaigns can “look” like super-performers if they’re allowed to overlap with your existing prospect base, capturing fractional conversions. Pinpoint new leads separately by using strict audience exclusions and robust offline tracking.

Align with Actual Business Outcomes

Use CRM data and NCAC (net customer acquisition cost) analyses to measure true ROI. Merely chasing in-platform metrics can lead you to scale an illusory campaign.

Keep Your Eye on the Whole Funnel

Observe brand search volumes, direct traffic, and overall revenue or lead quality. If you see big in-platform “wins” but no movement (or declines) in brand or direct leads, your Demand Gen might just be reassigning existing demand to itself.

Final Thoughts

Demand Gen isn’t inherently flawed. In fact, it can be a powerful channel for top-of-funnel prospecting and engaging new audiences with strong creatives. However, if left unchecked, it may simply hijack conversions that would otherwise come through branded or other direct channels—leaving you with inflated conversion reports but no real growth.

Moral of the story: Trust, but verify. Stay vigilant about your attribution settings and audience exclusions, and always triangulate Google Ads metrics with CRM data and brand health indicators. That’s how you find genuine, scalable growth—without being fooled by “too good to be true” results.