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Podcasts or articles create demand, but when users search your brand on Google and click an ad, Google's analytics take full credit. This makes it difficult to secure budget for top-of-funnel brand activities and easy to over-invest in brand search ads.
Google's "Attributed Brand Searches" metric helps marketers measure the direct impact of YouTube advertising on Google search volume. It quantifies how upper-funnel video ads drive lower-funnel, high-intent branded searches, demonstrating platform synergy.
When a customer hears about a brand from a podcast, ad, or friend, they often search for it on Google. Analytics then attributes the conversion to Google, but Google didn't create the demand; it was merely a navigational tool, leading to flawed marketing budget allocation.
Relying on last-touch attribution creates a feedback loop that over-invests in bottom-of-funnel channels like branded Google search. This model fails to account for the preceding marketing actions that prompted the search, misallocating budget away from crucial brand discovery activities.
Lumping all search keywords together inflates performance, as branded search has a much lower effective CAC. People searching your brand name already know you from other channels. To accurately assess Google's performance and understand true customer acquisition, analyze the CAC for branded and non-branded keywords as distinct categories.
Agencies often present a blended PPC ROAS that includes high-performing branded search, inflating performance. Demand a separate ROAS for non-brand "prospecting" campaigns to understand the true, scalable return before increasing ad spend, as this reveals your actual cost of new customer acquisition.
Don't combine branded and non-branded search when calculating channel CAC. Branded search converts users who already know you from other efforts, making its CAC artificially low. Separating them is crucial to accurately assess how well your ads are acquiring truly new customers.
Solely crediting the final touchpoint, like a branded search ad, ignores the awareness efforts that drove the search initially. This flawed view leads to underinvestment in crucial top-of-funnel activities, ultimately starving your future pipeline of potential customers.
With soaring non-branded CPCs and the rise of zero-click search, running branded campaigns is increasingly vital. As users get information from AI summaries or social media and then search a brand directly, these campaigns become a highly efficient, low-cost way to capture high-intent traffic.
The company's paid search generated many low-value 'signals' by driving traffic to blog posts, but had negligible impact on pipeline. Using automated tools like Performance Max without careful oversight can waste budget on brand awareness activities instead of capturing high-intent, bottom-of-funnel demand.
Before blaming SEO for a drop in inbound leads, investigate paid search activity. An increase in bidding on branded terms can directly cannibalize organic traffic and conversions, shifting them from one channel to another and creating a misleading picture of organic performance.