By Daniel BurtonKey Takeaways
- We ran an omnichannel GTM for “Synthwave Sounds” on a $75,000 budget and got a 12% lift in sales conversions in six weeks.
- By integrating paid social, programmatic, and influencer marketing on Facebook, Instagram, and Spotify, we hit a 2.5x ROAS.
- Constant A/B testing of our ads and landing pages dropped our CPL by 30%, bringing it down from an initial $15 to $10.50.
- Our remarketing segments, which we built using Spotify listening data and site visits, converted at 3x the rate of cold audiences.
- The campaign worked because we had one unified message and visual identity that we tailored specifically for each platform instead of just blasting the same generic assets everywhere.
We had to launch “Synthwave Sounds,” a new digital music library, into a seriously crowded market which meant our go-to-market strategy had to be perfectly in sync to get noticed. Here’s the breakdown of the campaign, showing how a connected approach across different digital touchpoints delivered real results. It turns out a well-planned omnichannel system can absolutely make a product stand out, even in a packed niche.
| Feature | Omnichannel GTM Campaign | Traditional Siloed Marketing | Synthwave Sounds Operating System |
|---|---|---|---|
| Budget | $75,000 | ✗ Not specified | $75,000 |
| Sales Conversion Increase | 12% over 6 weeks | ✗ No direct equivalent | 12% over 6 weeks |
| ROAS Achieved | 2.5x | ✗ No direct equivalent | 2.5x |
| CPL Reduction | 30% (from $15 to $10.50) | ✗ No direct equivalent | 30% |
| Remarketing Conversion Rate | 3x higher than cold audiences | ✗ Not specified | 3x higher |
| Unified Message & Visuals | ✓ Yes, adapted per platform | ✗ No, generic distribution | ✓ Yes, cohesive brand experience |
| Platform Integration | ✓ Paid social, programmatic, influencer, Spotify | ✗ Isolated channels | ✓ Connected user journey |
Campaign Overview: “Synthwave Sounds” Launch
The whole point of the “Synthwave Sounds” launch was to drive subscriptions for its library of exclusive synthwave samples and tracks. The objective was conversion. Awareness was just a step on the way. Our target audience was a tough one: 18-35 year-old producers, DJs, and graphic designers who love the retro-future look, are always online, and can spot a fake a mile away. Our job was to get in front of them with content they’d actually connect with and make subscribing an easy next step. We ran the campaign for six weeks, from March 1st to April 12th, 2026, on a total budget of $75,000 that covered everything from media spend to creative and influencers. We were shooting for a Cost Per Lead (CPL) under $18 and a Return on Ad Spend (ROAS) of at least 1.8x.
Initial Metrics & Goals
- Budget: $75,000
- Duration: 6 weeks (March 1st – April 12th, 2026)
- Target CPL: < $18
- Target ROAS: > 1.8x
- Key Performance Indicator (KPI): Paid Subscriptions
Strategy: The Omnichannel Operating System in Action
We built our strategy around a single, cohesive brand experience, making sure every channel worked together as part of the user’s journey instead of operating in its own silo. This meant everything had the same brand voice, the same visual feel (think neon color palettes, glitch effects, 80s inspired typography), and the same clear message about exclusive, high-quality synthwave content. The whole thing was broken down into three main phases:
- Awareness & Engagement: Introduce “Synthwave Sounds” to our audience and get them interested.
- Consideration & Nurturing: Show them more about the platform and answer any questions they might have.
- Conversion & Retention: Get them to subscribe and keep them engaged.
Our channel mix was paid social on Meta’s platforms (Facebook and Instagram), programmatic display, YouTube pre-roll ads, and a big push on Spotify with both sponsored playlists and audio ads. The influencer collaborations with well-known synthwave artists and producers on Instagram and YouTube were what gave the brand its authenticity.
Initial Channel Allocation (Budget)
| Channel | Allocated Budget | Percentage |
|---|---|---|
| Paid Social (Meta) | $25,000 | 33.3% |
| Programmatic Display | $15,000 | 20.0% |
| YouTube Ads | $10,000 | 13.3% |
| Spotify Ads (Audio & Playlist) | $15,000 | 20.0% |
| Influencer Marketing | $10,000 | 13.3% |
Creative Approach: Retro-Future Resonates
We designed all the creative to scream synthwave. For Instagram and Facebook, we used short, looping videos with futuristic cityscapes and neon grids, slapping text overlays on them like “Exclusive Sample Packs” and “Royalty-Free Tracks.” The CTAs were straight to the point: “Start Your Free Trial” or “Explore Soundscapes.” On YouTube, our 15-30 second pre-roll ads showed people actually using the product, a producer building a track, a designer creating retro art with our music in the background, and they all linked to a dedicated landing page with the same visual style and a focus on how easy the library was to use. For Spotify, we kept the audio ads short and punchy, with a quick synthwave hook and a voiceover, while our sponsored playlists “Synthwave Focus” and “80s Dreamscape” integrated the brand more subtly in the descriptions and banner ads.
Targeting: Precision in the Digital Ether
We used a layered targeting strategy. On Meta’s platforms, we started with interest targeting (for things like “synthwave music,” “music production,” “retro gaming,” “80s aesthetics”) and then built lookalike audiences from our first website visitors and email sign-ups. We also uploaded a custom audience list of customers from a related product, which gave us a hyper-specific group to target. For programmatic display, we used DMPs to find users who’d recently been on music production forums or DAW websites, focusing on sites we knew creative pros visited. On YouTube, we combined demographics with specific channel placements on music production tutorials and even retro gaming channels, alongside custom intent audiences for people already searching for “synthwave samples” or “royalty-free music.” Spotify’s ad platform was gold. It let us target users directly based on their listening habits, like anyone listening to specific synthwave artists.
What Worked: Data-Driven Successes
This integrated strategy really paid off. Our paid social campaigns on Instagram were the star performers, pulling in the highest CTR at 1.8% and a CPL of just $12.50. Instagram is a visual platform, and our creative just clicked with that audience. It’s no surprise when you see reports like eMarketer’s showing social ad spending climbing, confirming that it’s a great place for direct response.
Campaign Performance Snapshot (Weeks 1-6)
| Metric | Initial Goal | Actual Result | Variance |
|---|---|---|---|
| Total Budget Spend | $75,000 | $74,820 | -0.24% |
| Total Impressions | ~5,000,000 | 6,800,000 | +36% |
| Average CTR | > 1.0% | 1.4% | +40% |
| Average CPL | < $18.00 | $10.50 | -41.6% |
| Total Conversions (Subscriptions) | 2,500 | 3,200 | +28% |
| Cost Per Conversion | < $30.00 | $23.38 | -22.1% |
| ROAS | > 1.8x | 2.5x | +38.9% |
Our Spotify integration was a surprise winner. The CTR on the audio ads themselves was pretty low at first, only 0.3%, but here’s the kicker: users who heard a Spotify ad and then saw one of our display remarketing ads converted at a rate 3x higher than people who only saw the display ad. This told us the audio ads were having a real, if indirect, effect on brand recall and trust. The sponsored playlists also drove a ton of organic saves and shares, giving us reach we didn’t pay for. Being able to target people based on what they’re actually listening to in Spotify Ad Studio was a huge advantage. The influencer collaborations worked well, especially the one with “RetroBeat Maker” on YouTube, who has 500,000 subscribers and generated a big spike in direct traffic to our landing page. His authentic review of “Synthwave Sounds” brought in a highly qualified audience because we focused on reaching the right people with a voice they’d actually trust.
What Didn’t Work & Optimization Steps
Not everything worked right out of the gate. Our initial programmatic display ads were getting a lot of impressions but the CTR was awful (0.8%) and the CPL hit $22. That was burning cash. So we pivoted, fast. Within the first two weeks, we killed the broad, underperforming segments and shifted that budget into much tighter programmatic targets. We started going after users who’d visited competitor websites or specific hardware/software review sites in the last 30 days. We also turned on dynamic creative optimization (DCO) for display to automatically test different headlines and images, which let us improve performance on the fly. Another challenge was creative fatigue on the Meta platforms, where we saw CTR dip after about 10 days on some ad sets. Our fix was to get on a strict weekly creative refresh schedule, pushing out new variations all the time. We A/B tested our landing pages, too. For instance, we tested a version that emphasized “exclusive artist packs” against one that focused on “royalty-free for commercial use” and found the artist pack page converted 15% better with producers. You have to keep testing and optimizing. It’s basic but true. Remarketing was a key part of our optimization. We built lists from:
- Website visitors who looked at three or more pages but didn’t sign up.
- Users who added a subscription to their cart and then left.
- Spotify listeners who’d interacted with our audio ads or sponsored playlists.
These remarketing campaigns used slightly different copy that aimed to overcome hesitation (like, “Still on the fence? Your first month is 50% off!”). They pulled in a CPL of just $7.50 and an 8% conversion rate, blowing our cold acquisition efforts out of the water.
Attribution and the Unified View
Figuring out the customer’s path across all these touchpoints is never simple. We went with a time decay multi-touch attribution model, which gives more weight to the interactions that happen closer to the conversion. This let us see how the different channels worked together, instead of just giving all the credit to the last click. For example, we could see that even though Instagram got the last click for a lot of conversions, many of those same people were first introduced to the brand through a Spotify audio ad or a YouTube pre-roll. Having that kind of view from the Google Ads attribution models helped us make smarter decisions about where to move our budget. The campaign worked because we treated every touchpoint as part of a single, ongoing conversation with the customer. In the end, the “Synthwave Sounds” launch hit a ROAS of 2.5x and a final CPL of $10.50, which shows what a properly integrated system can do. It’s a good reminder that while every channel has its own strengths, you get the real results when they’re all working together off the same plan and you’re constantly optimizing. Human judgment wins in AI marketing because you need that strategic oversight and creative direction. And for 2026, making sure your data quality is solid is mandatory for revenue execution.
What is an omnichannel GTM strategy?
An omnichannel Go-To-Market (GTM) strategy is an approach that builds a consistent and connected customer experience across every channel you use, online or off. The whole point is to map your marketing to the customer’s actual journey, making sure every touchpoint works together to lead them to a conversion instead of acting like a separate, siloed effort.
How does an omnichannel operating system differ from a multi-channel approach?
A multi-channel setup just means you’re using several different channels to talk to customers, but those channels usually work on their own. An omnichannel system connects all those channels so they can share data and talk to each other. This creates one unified experience for the customer, no matter how they choose to interact with your brand. It’s what gives you real connectivity and consistency.
What specific metrics are most important to track in an omnichannel campaign?
Key metrics include Return on Ad Spend (ROAS), Cost Per Lead (CPL), and Cost Per Acquisition (CPA) for efficiency. Then there’s Customer Lifetime Value (CLTV) for long-term health, plus conversion rates by channel and basic engagement like Click-Through Rate (CTR) and time on site. Just as important are your attribution models (like time decay or data-driven) because they’re what help you understand how each touchpoint contributed.
How can small businesses implement an effective omnichannel strategy with limited resources?
Small businesses can implement an effective omnichannel strategy by starting small and smart. Figure out the main path your customers take and which two or three channels matter most to them, then focus on integrating those really well instead of trying to be everywhere at once. You can use tools that have unified dashboards and some automation to manage your messaging and data across channels without a huge team. Just put your money where your audience actually spends their time.
What role does data play in optimizing an omnichannel campaign?
Data is what makes omnichannel optimization work. It shows you what customers are doing across all your touchpoints, which lets you see what’s working, tighten your targeting, personalize your messages, and move your budget to the right places. With real-time data analysis, you can make fast changes to your creative, your bids, and your audience lists to keep improving campaign effectiveness and ROAS.
