Proxima

Waterfront views in California, 18 holes of Golf, and some of the best leaders in DTC. The Prescient AI x Proxima AI Commerce Cup is going down September 25th starting at 10 AM at the beautiful Coronado Golf Course in San Diego. If you want to: ➝ Play golf and talk shop ➝ Network with top DTC operators and marketers ➝ Enjoy a premium bar and hors d'oeuvres after the round ... get your name on the list below! (only a few spots left) Even if you're not a golfer — join us at 5 PM for an open bar, food & a surprise you can take home from one of my favorite brands. Thanks again to Michael True and Nick Shackelford for co-hosting this event with our team! 👉 RSVP here: https://lnkd.in/gaXPfq_E

HYPED to share our latest case study with Venus et Fleur 💐 Since partnering with Proxima, Venus et Fleur scaled ad spend +73% and cut CPAs by -29% during their biggest sales event of the year – Mother’s Day (it's their Black Friday). Before discovering us, Angela Marsh (Director of Performance Marketing at Venus et Fleur) knew experimenting with audience targeting could fuel growth in the brand's ad account. However, most audience tools break at scale and rely only on pixel data – so their team was rightfully wary of burning budget on a mediocre solution during a key sales period. Venus et Fleur needed a scalable data enrichment and targeting tool that would allow them to be more aggressive on customer acquisition without sacrificing profitably. So, they turned to Proxima to test data-enriched audiences as a lever to scale their ad account.   During the weeks leading up to the year's biggest sales event, they established several split tests to compare the performance of Proxima's AI Audiences against their own manually-built audiences (interest stacks, LALs) + broad targeting. Their Proxima audiences didn't just outperform. They dominated. → +73% increase in Ad Spend → -29% reduction in CPA → +13% lift in NC-ROAS In Angela's words: "When it comes to audiences, good enough should never be the standard, especially when you're spending so much on paid media. Proxima understands this, and their audiences have been our top performers on every channel from Meta to TikTok. They’ve been incredible to work with, especially during major sales periods." Today, our AI Audiences power the core of Venus et Fleur’s paid social strategy, and we've recently been experimenting with something brand: SKU-level targeting. And it has exceeded all expectations. Want to learn more about what we’re building? Shoot me a note or DM ⚡ And check out the full case study here: https://lnkd.in/ephsMR7B

Legendary executive Bernard Arnault invested $300M+ in several AI businesses this year…and I’m thrilled to share Proxima was 1 of those. The global AI market's estimated worth is over $200B and is projected to break $1.8 trillion by 2030. As one of the most respected financial minds on the planet, it makes sense why Arnault is so bullish on AI. Arnault’s VC firm AGLAÉ VENTURES focuses on early-stage tech. They’ve hit some massive wins, backing the likes of Airbnb, Netflix, Slack, Spotify, Lyft, etc. with early capital… …and we're honored to be part of such a legendary lineup. AGLAÉ VENTURES was an instrumental partner in Proxima’s $12M Series A round, and I couldn't be more grateful. I'm incredibly excited to be working with such intelligent investors, and we've already made huge progress off the back of our Series A. And I'm equally thrilled to continue building out Proxima's data intelligence platform. If your brand is struggling to scale paid social ads efficiently, let's chat 🤝 Robert Frank covers AGLAÉ VENTURES AI strategy in detail here: https://lnkd.in/gvJ5haFp

September 25th, We host our 4th and final Golf Tournament in Coronado at Coronado Golf Course. If you're an Ecommerce Brand Owner or Operator, we would love to have you there for a great day. We will be hosting this right around Commerce Roundtable which already is slotted to have an incredible group of owners and operators there. 32 players two great partners in Michael True Prescient AI and Proxima 1 Great day We will cover all the costs, just bring your clubs and plenty of balls :D The sign up link is in the first comment below

POV: You're a DTC brand looking to increase top-of-funnel spend. You've got your creative production flywheel humming and are testing regularly. Broad targeting is performing well. But as you try scaling ad spend, performance drops. You go back, spin up new creatives, and try again. Marginally better results, so you crank up spend on the winners. But then...performance drops. You go back, again. Rinse and repeat. Scale into winning assets until...performance drops. This is groundhog day for marketers. When you default to "going broad" and relying solely on creative testing to scale, many marketers find themselves in this endless loop. So how do you escape this loop and break through your top-of-funnel spend ceiling? Try scaling through audiences. Not just creatives. Just like you test creatives, you need to experiment with audiences (beyond broad). Interest stacks, lookalikes, data-enriched seeds. I've seen audience testing help $250k/mo spenders 2x+ their top-of-funnel spend without efficiency loss.   Dialing in your creative testing flywheel is table stakes. But relying exclusively on one strategy is a great way to get left in the dust. There are real wins to be had in the audience game right now. PS - We'll help you set up an audience test right now. DMs are open.

Many high-growth brands struggle to break through Meta's efficiency ceiling, where increasing spend leads to rising acquisition costs. That was the case for C4 Energy —until they teamed up with us at Proxima. Instead of scaling exclusively through creative testing, they scaled through audiences. Made possible by data enrichment and predictive targeting. The results? ➝ 20% reduction in CPA ➝ 20% increase in ROAS ➝ 50% MoM increase in Ad Spend Now that's what I call efficiency. DMs are open if you'd like to shoot for similar results!

Obvi spent nearly $240,000 last month on Proxima audiences and uncovered a super interesting takeaway. They unlocked incremental audiences that Meta's algorithm alone wasn't going after. Which allowed Ashvin to crank monthly ad spend +2x...profitably. That's brilliant. I love Ash's approach here: Experiment with audience targeting. Put broad and targeted audiences head-to-head. See how they compare. Gather learnings and then pour gas on what's working. In a world where 'just go broad' is status quo, remember this: "Don't fall into the trap of best practice bias. There are wins to be had beyond broad. Media buyers should not be ignoring audiences as a tool to leverage in Meta." Well said, Ash 👏

Hyped to share our latest case study — this one's a triple threat: Proxima x Astronaut Party Inc. x Simon Pearce 🚀 Despite their efforts to target customers in new regions, Simon Pearce wasn’t reaching audiences with the same purchasing power or intent as the core customer base they've built in the Northeast. But the team at Astronaut Party — a leading eCom growth agency — was up for the challenge. And they knew that solving this problem would require serious data science chops. So, they began experimenting with data-enriched audience targeting. The results? → 31% reduction in CAC → 51% increase in ROAS → 60% in TOF Ad Spend Lukas B. Snelling, President & Founder of Astronaut Party, was initially wary of asking his client to pay for a new tool. So we set them up on a free trial with Proxima to test our AI Audiences against their existing targeting strategy. Spoiler: Proxima was the clear winner. Lukas summed it up perfectly: “For agencies, expanding the reach of your clients’ ads is the easy part. The hard part is knowing which audiences to target; you need sophisticated tools to do this efficiently. Proxima's AI Audiences should be a crucial step in every agency’s playbook.” How’d we approach audience building for Simon Pearce? 1) We ran a comprehensive ad account audit and customer base analysis to understand the core shopping trends of their most loyal customers 2) Our algorithm identified consumers with similar traits and purchasing behaviors across the Proxima Shopper Universe™️ 3) We then built data-enriched audiences that were uploaded to Simon Pearce's ad account via the Meta API (and the underlying customer data refreshed weekly) Experimenting with audience targeting in this fashion opens up a level of customization and precision well beyond the capabilities of Meta's broad algorithm. A strategic approach to targeting presents a serious opportunity for every agency and brand. That’s what we’re developing at Proxima — tech that enables marketers to take back control of their targeting. Read the full case study here ➝ https://lnkd.in/eHpdc_qZ  

We spent $230k+ on our Proxima lookalike audiences last month… Yes, going broad is the go-to strategy. But try this targeting experiment: A) Go broad – let Meta decide who to show your ads to B) Go targeted – upload Proxima’s boosted seed audiences and run LALs Put these up against each other. We found that not only do these audiences scale and compete with broad, but we’re also giving Meta additional data points to find incremental audiences to scale into. The point is – don’t fall into the trap of “best practice bias” There are wins to be had beyond broad. Media buyers should not be ignoring audiences as a tool to leverage in Meta. No matter which avenue you dive into, whether you stick to going broad or experiment with audience targeting, if you test audiences against each other (especially in a CBO) you’re only going to get spend when something works. And we’re seeing a lot of success here. So it’s worth testing something outside of the “go-to” strategy.

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