The predictive data intelligence platform teaching consumer brands to find the buyers who actually convert.
Proxima sells a simple premise to a complicated industry: the best customer a consumer brand can find is one who already behaves like a buyer. Founded in New York in 2022 by Alex Song, the company is a predictive data intelligence platform that turns billions of anonymized ecommerce transactions into audiences, attribution, and creative guidance that brands can actually act on. It works where most direct-to-consumer marketing lives now - inside Meta, TikTok, and Google ad accounts - and tries to answer the question those platforms made harder to answer: who is worth spending on next?
The problem Proxima was built for is not abstract. When Apple and the platforms tightened privacy controls, the signal that used to power ad targeting thinned out. Customer acquisition costs rose, algorithms shifted, and small brands lost the fine-grained targeting they had quietly depended on. Proxima's answer is a shared, anonymized commerce network. By pooling purchase signals across thousands of brands, it reconstructs the kind of buying intent that individual advertisers can no longer see on their own.
Song frames it plainly. Data, he has said, can be a powerful secret weapon - not just to survive but to thrive. Proxima's job is to make that weapon usable by a marketing team that does not have a data science department of its own.
Proxima's customers are consumer, DTC, and ecommerce brands - along with the agencies that buy media on their behalf. These are companies whose growth depends on paid social, and whose margins depend on not wasting it. Named users include beverage and wellness names like Hint Water, C4 Energy, Obvi, and Bubs Naturals; home and lifestyle brands like Caraway, Zak Designs, and Canopy; and jewelry and gifting labels like Gorjana and Venus et Fleur.
The problems these brands share are the ones Proxima was designed to solve: rising acquisition costs, platform algorithm changes, and diminished targeting since the loss of easy third-party signal. Proxima says it is the first and only platform built to tackle all three at scale - by identifying high-value customers, predicting lifetime value, and flagging wasted spend before it compounds.
Reported customers across beverage, wellness, home, and lifestyle categories.
Proxima is the first and only platform to solve the challenges of rising acquisition costs, platform algorithm changes, and diminished targeting capabilities at scale.
Proxima's products form a loop: measure what converts, target who's likely to convert, inform the next creative.
AI-powered custom audiences that reach high-intent shoppers for paid media across Meta, Google, and TikTok, built from Proxima's proprietary shopper dataset.
A proprietary pixel and attribution layer for deeper visibility into what actually drives conversions, especially across Meta campaigns, including predictive CAPI signals.
Connects Shopify and Meta account data, enriched with Commerce Graph data, to reveal how customers and campaigns are really performing.
Industry benchmarking and tactical insights that let brands evaluate business health and performance against a network of thousands of brands.
Data-backed creative briefs that translate conversion signals into guidance for higher-performing ad creative.
Tools for understanding consumer segments and building enriched customer profiles from real purchase behavior.
Native platform tools build lookalikes from a single brand's own customers. Proxima's argument is that a shared network - many brands, one anonymized commerce graph - produces a richer picture of who is likely to buy. The more brands contribute signal, the sharper targeting becomes for everyone. It is a flywheel, not a launch.
That is also the moat. Competitors range from analytics and attribution tools like Triple Whale, Northbeam, and Fospha, to identity providers like LiveRamp, to the platforms' own Advantage+ and lookalike features. Proxima's distinction is combining first-party brand data with a cross-store network and layering predictive models on top.
Proxima sells subscription and self-service access to its data intelligence platform - audiences, attribution, benchmarks, and creative tools - to consumer brands and agencies. Usage centers on scaling paid media across Meta, TikTok, and Google. A self-service tier launched in 2023 lowered the barrier for smaller brands.
Founder Alex Song spent nearly a decade as a public and private equity investor at Goldman Sachs and Pershing Square, then founded the New York venture studio Innovation Department in 2014, building DTC and ecommerce startups. That lineage shows: Proxima treats marketing as a measurable capital-allocation problem, not a creative hunch.
| Round | Amount | Date | Lead & investors |
|---|---|---|---|
| Series A | $12,000,000 | Apr 2024 | Mucker Capital (lead), Aglae Ventures, Great Oaks Venture Capital, Data Point Capital, Broadway Venture Partners, FirstLook Partners, Connexa Capital |
Total disclosed funding: $12M. Aglae Ventures is the family office tied to LVMH founder Bernard Arnault. Funds earmarked for AI feature development and expanding technical and commercial teams.
Alex Song launches a New York venture studio building and investing in ecommerce and DTC startups.
Song founds Proxima to bring predictive data intelligence to consumer brands.
Proxima rolls out self-service access and AI-powered audiences across Meta, Google, and TikTok.
Launches an AI-powered tool to evaluate business health and performance.
Raises a $12M Series A led by Mucker Capital to expand the platform and team.
Proxima sits at the intersection of martech and data intelligence, in the space that opened up when platform privacy changes broke old targeting. Around it are analytics and attribution tools, identity graphs, and the ad platforms' own audience features - each solving one slice of the problem.
Proxima's positioning is to be the connective layer: the place where a brand's first-party data meets a cross-store network and predictive models, then flows back out as audiences and creative direction. For a mid-sized DTC brand, that is the difference between renting the platforms' intelligence and owning some of its own.
Whether that layer becomes essential infrastructure or one option among many is the open question. What is clear is the direction of travel: consumer marketing is moving from spray-and-pray media buying toward predictive audience building, and Proxima has planted itself squarely on that road.
The company's near-term work, per its Series A plans, is more of the same - deeper AI features, broader platform coverage, and a bigger network. Every new brand that joins makes the data sharper for the next one.
Proxima is a predictive data intelligence platform that helps consumer and DTC brands find high-value customers and scale paid media efficiently using AI audiences, conversion attribution, benchmarks, and creative guidance across Meta, TikTok, and Google.
Alex Song founded Proxima in May 2022. He previously worked as an investor at Goldman Sachs and Pershing Square and founded the venture studio Innovation Department.
Proxima raised a $12 million Series A in April 2024, led by Mucker Capital with participation from Aglae Ventures, Great Oaks Venture Capital, Data Point Capital, Broadway Venture Partners, FirstLook Partners, and Connexa Capital.
Proxima draws on a proprietary network of 12,000+ brand connections, 65M+ anonymized shopper profiles, and over $17B in tracked purchases to build and enrich audiences.
Consumer and DTC brands including Hint Water, Caraway, Gorjana, Obvi, Bubs Naturals, C4 Energy, Venus et Fleur, and mindbodygreen have used Proxima.