This non-branded search case study demonstrates how strategic Google Ads campaign restructuring and attribution alignment drove exceptional growth for Houndsy, a premium automatic pet feeder brand.
In just 10 months of partnership, we helped Houndsy achieve 105% revenue growth through Google Ads – doubling their revenue while scaling spend 140%+ and keeping customer acquisition costs flat at $45.
Houndsy makes an elegant automatic dog feeder that perfectly portions kibble for pets. When they came to us in February 2025, their Google Ads account had significant structural issues that made confident scaling impossible.
For Houndsy, the problem wasn’t demand—it was trust and structure.
When we took over the account in February 2025, the previous setup made it nearly impossible to scale with confidence:
One Performance Max campaign was spending most of its budget on branded terms, with branded and non-branded spend completely mixed together. There was no way to see what was actually driving performance or where to optimize.
Google Ads showed one story, TripleWhale showed another. Without understanding how different campaigns contributed to Total Impact performance, scaling felt risky.
Here’s how we rebuilt the foundation and unlocked confident scaling.
Also Read: Case Study on Scaling Facebook Ads
Houndsy entered 2025 with strong product-market fit but constrained Google Ads performance.
Rather than chase new keywords or tactics, we went back to basics with a foundation-first approach.
We separated branded and non-branded activity into distinct campaigns to create visibility into what was actually driving performance. Before this, everything was mixed together—making optimization impossible.
This wasn’t about expanding into new non-branded keywords. It was about seeing what was already happening and optimizing from there
We refreshed everything that had been neglected:
This “back to basics” approach sounds simple, but it’s where most accounts break down. These fundamentals create the foundation for everything else.
The trickiest part: optimizing to TripleWhale’s Total Impact attribution while Google Ads only saw platform conversions.
We ran controlled tests—adjusting spend and bids in Google Ads, then waiting 7 days to see how those changes affected TripleWhale’s Total Impact numbers. Through systematic testing, we identified which campaigns contributed most effectively to Total Impact performance.
Once we understood the actual campaign mix that drove incremental conversions (as measured by TripleWhale), we could scale with confidence.
With transparency, clean fundamentals, and attribution alignment established, we scaled aggressively:
Every “basic” element we fixed—ad copy, extensions, product feed tags, asset groups—created a compounding effect:
Understanding how Google Ads campaigns contributed to TripleWhale’s Total Impact metrics was the breakthrough moment.
By testing systematically—adjusting spend/bids in Google Ads and measuring 7 days later in TripleWhale—we mapped the relationship between platform activity and incremental conversions.
Result: Client gained confidence to increase spend 140%+ knowing it was driving real incremental revenue, not just platform-reported conversions.
CAC staying flat at ~$45 while revenue doubled was the proof point that this was genuine, efficient scale—not just buying more expensive conversions.
We didn’t try to scale a broken system. We rebuilt the fundamentals first, then scaled on solid ground.
Separating branded and non-branded created visibility. You can’t optimize what you can’t see.
We optimized to the client’s success metric (TripleWhale Total Impact), not just Google’s platform numbers. This required systematic testing but created real alignment.
We increased spend 140%+ while keeping CAC flat and ROAS relatively stable. This wasn’t reckless spending—it was confident, data-backed scale.
Ad copy, extensions, product feed optimization, campaign structure—these “simple” elements are where most accounts fail. Getting them right creates the foundation for everything else.
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Houndsy’s 105% growth wasn’t luck. It resulted from strategic planning, foundation-first optimization, and data-driven scaling—all within 10 months of partnership.
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