Window Valet, a seven-figure window treatment company in Indiana, came to Nova Marketing spending $8,000 a month on Google Ads and watching the numbers move the wrong way: cost per lead climbing, lead quality dropping, and an agency treating them like every other account on the roster. Ninety days later, the picture had inverted — 39% more leads (45 to 63 a month), cost per lead down 37% ($178 to $112), lead quality nearly doubled (4.2 to 7.8 on their own scoring), and monthly ad spend actually reduced to $7,000. This is the full story of what was broken, what we rebuilt, and the parts any window treatment company can apply — with or without us. The complete numbers live on the Window Valet case study.
The starting point: paying more for worse
Window Valet's problem is the most common one in blinds and shades advertising: campaigns structured broadly, targeting generic keywords that attracted tire-kickers instead of qualified buyers. Broad targeting in this trade is expensive in a specific way — the searcher who typed 'blinds' might want $40 stock miniblinds from a big box, while the company's actual business was custom plantation shutters and motorized systems. Every click from the wrong searcher cost real money and produced a lead the sales team learned to dread. The previous agency's answer to rising costs was the industry default: ask for more budget. Ours was the opposite.
Rebuild one: tightly themed ad groups
We rebuilt the Google Ads account from scratch around 12 tightly themed ad groups — each one a specific high-intent service matched to its own keywords, its own ad copy, and its own landing experience: 'custom plantation shutters,' 'motorized blinds installer,' and their siblings, instead of one big net over 'blinds.' Tight theming does two jobs at once: the ad the searcher sees matches exactly what they typed (clicks get cheaper as relevance rises), and the clicks that arrive are from people who named a premium product in their search — pre-qualification, performed by the keyword itself. This is the single most transferable lesson in the case study: if your ad account has three big catch-all campaigns, the rebuild is where your wasted spend is hiding.
Rebuild two: Local Service Ads with the Google Guaranteed badge
We launched Google Local Service Ads alongside search — the pay-per-lead placements that sit above everything else with the Google Guaranteed badge. For in-home service categories like window treatments, LSA carries outsized trust: the badge answers the 'stranger in my house' fear before the click, and paying per lead rather than per click changes the economics of every bad match. LSA doesn't replace search — the two catch different buyers — but for a local window treatment company it's routinely the cheapest qualified phone call available, and most companies in the trade still haven't claimed it.
Rebuild three: Meta that targets buyers, not everyone
On Meta, we built lookalike audiences from Window Valet's own customer list — letting the platform find homeowners who resemble the people who already bought — and layered targeting toward affluent neighbourhoods, recent home purchases, and home improvement engagement. We backed it with professionally produced video content, because in a visual product category the creative is the targeting's other half. Meta's job in this mix isn't bottom-funnel capture; it's putting beautiful installs in front of the right households until the in-home consultation feels like the obvious next step.
Rebuild four: measure what the phone actually does
The quiet foundation under everything: call tracking and CRM integration, so every lead's source, quality score, and outcome fed back into the account. That loop is what let quality — not just volume — become the optimization target, and it's why the lead quality score moved from 4.2 to 7.8: campaigns learned from closed jobs, not clicks. If you can't tell which campaign produced last month's best customer, your ads are optimizing toward the wrong finish line.
The results, exactly as measured
- Lead volume: 45/month → 63/month (+39%)
- Cost per lead: $178 → $112 (−37%)
- Lead quality score: 4.2/10 → 7.8/10 (+86%)
- Monthly ad spend: $8,000 → $7,000 (−13%)
Read the pairing that matters: more leads, better leads, and a smaller budget, in 90 days. In the owner's words: "Nova Marketing completely transformed our marketing. We're getting more leads at a lower cost, and the quality is night and day compared to what we were getting before."
What a window treatment company can take from this tomorrow
- Audit for the catch-all campaign: if one campaign targets 'blinds' broadly, your budget is buying big-box shoppers. Split it by service, tightly.
- Claim Local Service Ads if you haven't — the badge plus pay-per-lead economics suit this trade almost perfectly.
- Feed Meta your customer list: lookalikes from real buyers beat interest targeting in every visual home category we work in.
- Close the measurement loop: call tracking plus CRM outcomes is what turns 'more leads' into 'better leads' — and it's what lets you cut spend while growing, instead of buying growth.
- Judge any agency by Window Valet's test: when results plateau, do they ask for more budget, or find the waste? The full story is on the case study page.