Whether you are just starting, running on a single platform, or need integrated multi-channnel strategies - we can help.
If we can help fix some things in your campaign from the call, we will tell you.
If the system requires restructuring, we will show you why.
In two months we improved from 2.5x to 11x ROAS. Fantastic quality, guidance and amazing guidance from a data-driven perspective.
Steve G. CEO
Peace of Stage
I feel he is the best marketing strategist in any of the companies in our VC portfolio.
Zaid R, Founder
Flex.app
They absolutely crushed it! It’s big picture thinking combined with technical execution which directly increased our sales pipeline.
Michael Z, Dir of Sales
la Madeline
The team at Pretty-Impressive Marketing go above and beyond our previous agency.
Court K, President
Lofty Sleep
They whipped our accounts into shape, fixed our attribution woes, and over-delivered on results.
Tiffany R, CEO
Silver Lining Scrubs
I can’t say enough good things about this team. The results speak for themselves.
Mark R, Regional VP
Hinge Health
THE CHALLENGE
We were tasked with building and launching Marugame Udon’s first Meta campaign focused on top-of-funnel awareness while using landing page views to signal real customer intent.
1) An existing brand with multiple locations launching on brand new ad account with no historical data, pixels, analytics, or algorithmic learning.
2) Balancing hyper localized targeting required within a 10 mile radius, with budget and creative updates to minimize oversaturating the TAM with high frequency.
3) Common measurement tracking gaps to attribute in-store customers from online viewers with no reliable in-store trigger or CRM data integration.
OUR APPROACH
To laser focus on higher-intent traffic and reduce wasted spend, we built Facebook and Instagram campaign from the ground up, implemented order form data tracking and in store strategies for attribution pass back. Then used mid-funnel retargeting to increase frequency only among people who had already shown interest.
Location-level reporting was achieved sing tools like Placer and in-store QR-based event triggers to create a clearer bridge between ads and in-store activity.
We modeled TAM by trade area (including commuter inflow where relevant), tracked reach and frequency vs. TAM, and used that to rebalance budget and geo structure (including combining smaller store areas for stability).
Through aggressive AB Testing of creative and messaging, we found messaging that promoting regular meal options "Eat under $10" generated similar inbound KPIs as loss-leader coupon pomotionals. After deprecating the coupon offers, we maintained incredible inbound metrics without reducing profit margin.
Grew a 6 month old app from
5 new users per day
to 300 new users per day
We didn’t just run ads. We built a compounding growth loop that took the Circle Ranks app from 3K to 91K followers, expanded content from 300–400 daily views to 11 million, to the point they were acquiring 300+ new users per day.
THE CHALLENGE
We were tasked with building and launching an inbound campaign for CircleRanks, a movie review app that had been struggling with user acquisition for 6 months prior. Typically seeing 0-3 new users per day, peaking at 5, and struggling with daily active userse.
1) Content performed inconsistently: view counts didn’t reliably translate into clicks
2) Common measurement tracking gaps to attribute ads to website to app store downloads, and also no tracking & data passback for in-app usage
3) The team needed a repeatable system to turn attention into downloads + active users, not just likes.
“Is Anthony a super genius? …we have 12 million views on one post… the moment we started working with you, the things exploded.” - James, CEO
OUR APPROACH
We didn’t come in and “reinvent” Circle Ranks. The concept was already strong. The real job was turning that concept into a repeatable growth loop.
First, we treated content like distribution, not just posting. Instead of hoping a great post “takes off,” we built a system where your best posts get pushed on purpose. That meant running Meta campaigns that amplified the winners and quickly tested what the audience actually reacted to.
At the same time, we separated attention from conversion. One set of campaigns was designed to generate massive engagement and reach (the snowball). Another set was designed to turn that attention into real actions: clicks to the site, click-throughs to the app stores, and installs. Those two lanes fed each other. Engagement made the brand bigger and cheaper to reach. Conversion made the growth measurable and reliable.
Then we tightened the creative and messaging so the posts didn’t just get watched—they got acted on. Small copy shifts mattered. We tested language that clarified “this is ranked by real users,” and in some cases that kind of adjustment drove meaningfully stronger conversion behavior.
Finally, we tracked the whole path instead of guessing. We watched where people fell off between ad → website → app store and used that to guide what we adjusted next. We also compared platform performance (Facebook vs Instagram) so budget wasn’t being “split evenly,” but split intelligently.
The end result wasn’t just viral numbers. It was viral numbers that turned into installs and daily active users.
23% Growth For the Wedding Venue Twenty Mile House by Minimizing “Mood-Board Traffic”
Twenty Mile House is the kind of venue couples obsess over online. It’s a scenic, exclusive mountain venue where you get married under the tall red-wood trees. It is instantly “Pinterest-worthy.”
For them, visibility is a double-edged sword. The brand attracts a huge volume of research and mood-board behavior. But a meaningful share of that traffic comes from couples below the venue’s price point.
The harder part is that those “aspirational” signals often look almost identical to true buyers. Same Reels. Same searches. Same saved posts. Same venue-shortlist browsing.
So the goal wasn’t simply more traffic. The goal was building a strategy over a very long multi-touch decision cycle. Building an targeting ecosystem where the platform signals separate “dreamers” from “qualified" over 15-20 touch points.
THE CHALLENGE
When we took over, the core issue wasn’t “nobody knows about Twenty Mile House.” It was that momentum had softened, and the previous agency had a marketing system built around higih volume inbound KPIs rather than closed deals:
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Budget mismatch - lots of attention from non-qualified budgets, and outside the city and state
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Very long lead times - couples book far out, often a year+.
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Multi-channel behavior - people bounce between Meta, Google, blogs, review sites like the Knot, and direct brand search before inquiring.
On the organic side, year-over-year visibility had been trending down before the turnaround began, and the goal became compounding growth across channels instead of isolated wins.
The client needed balance attracting broad interest to stay top of mind, learn “qualified intent behavior” fast, and prioritize those users over time.
“I feel great! What an improvement! This is where it’s starting to get really, really exciting”” - Rachel, GM
OUR APPROACH
We built an ecosystem that filters by intent and intentionally killed reach. Limited budgets need to laser focus on qualified customers leaving more budget to out-bid competitors.
On Facebook/Instagram ads, we used staged sequencing and retargeting to keep showing up during the mood-board phase, then prioritized deeper intent so the algorithm learned what real buyers look like and model optimized targeted audiences based on those signals.
On Google, we captured high-intent searches and used audience layering/remarketing to win the “return later” behavior that’s common in venue shopping. By narrowing focus to tight demographics combined with data from social interactions and site traffic behaviors, we were able to allocate budget to regularly outbid competitors. SEO fed the ecosystem by growing “micro” discovery and building warmer retargeting pools, and serving as the capture to minimize spending $20-50 CPC on multiple return visits from the same person over months.
1800 Plumber + Air Almost Triples Revenue From Previous Year
We rebuilt 1800 Plumber’s growth engine around a simple truth: plumbing demand is mostly triggered, not invented.
People rarely hire a plumber because an ad “convinced” them; they hire because something broke, something is leaking, or a replacement suddenly became urgent.
So need to help the brand approach marketing less like a one-click conversion "ecommerce style" measurement, and instead like brand presence with intent capture working together.
THE CHALLENGE
The hard partest part from home services is separating researchers from buyers, while avoiding suffocating yourself in volume of expensive clicks.
Plumbing shoppers often click multiple ads, compare options, read reviews, and wait until the pain is real. Which can wreak havoc by quietly inflating costs because you pay for repeat clicks from the same households.
We also saw the classic home-services problem where “leads” looked healthy on paper, but sales outcomes lagged. Leads were price-shopping with in-person quotes, renters without authority, or unreachable after submission.
On top of that, plumbing isn’t a single service ad campaign: Drain cleaning, water heaters, leak detection, and sewer work all carry different urgency, margins, and close rates. So one blended campaign inevitably optimized for the wrong mix. Google auctions punishes broad intent because DIY and “parts” searches can be expensive noise. Meanwhile Meta could over-deliver to high-engagement audiences who loved content but never booked. The real revenue lift lived in the handoff: speed-to-lead, call handling, and qualification discipline.
To triple revenue year over year, we had to reduce wasted spend, raise lead quality, and make the path from “interested” to “scheduled” feel frictionless.
“You guys have made such a meaningful impact for the business in such a short amount of time.” - Kyle, 1800 Plumber
OUR APPROACH
We built a multi-touch system where 1800 Plumber stayed visible cheaply on Meta and captured urgency profitably on Google.
On Meta, we shifted away from “click-heavy” patterns. We instead built for controlled presence and intent signals, using engagement-based sequencing. This helped the algorithm learn who behaved like real customers over time. Creative was used that filtered for clarity without sounding exclusionary by stating service area, response expectations, and helpful solutions to common problems.
We capped waste by suppressing audiences that had already submitted or called, and controlling frequency. With a limited budget, you must avoid paying for clicks the same household repeatedly. On Google, we separated campaigns by service intent and urgency. And protected budgets with tight scheduling, and relentless negative keywords.
The biggest step was closing the loop: we fed back which leads became scheduled jobs. This was to help both Meta and Google see what a true SQL was, rather than traffic noise. The result was a system that stayed top-of-mind without paying for infinite repeat clicks, while steadily improving lead quality and lowering cost per booked job.
