Chicago advertising technology company Basis circulated a customer acquisition case study on May 25, 2026, describing a paid social campaign that it says generated 1.8 million dollars in revenue for an unnamed global adventure experience brand. The figures, distributed through a marketing email from Basis, place the campaign's return on ad spend at 6:1 against a stated target of 5:1, and report cost per acquisition falling to 30 dollars from a historical range of 50 to 60 dollars.

The account is a vendor-supplied case study rather than an independently audited result, and the client is not named. Still, the numbers describe a familiar problem in performance marketing - acquiring buyers for a product that is rarely purchased more than once - and the tactics Basis attributes to the campaign reflect mechanics that have become standard across paid social platforms.

The numbers behind the campaign

According to Basis, the campaign produced four headline outcomes. Total revenue reached 1.8 million dollars, with nearly 500,000 dollars of that attributed to social media alone. Return on ad spend landed at 6:1, exceeding the 5:1 goal the brand had set. Cost per acquisition came in at 30 dollars, roughly half the brand's historical 50 to 60 dollar range. And the campaign recorded 6,234 new customer conversions.

Those four metrics, taken together, sketch a unit economics picture. A 30 dollar CPA across 6,234 conversions implies direct media-attributed acquisition spending in the region of 187,000 dollars, though Basis did not publish a full spend breakdown and the case study email does not specify whether the figure covers media cost alone or includes management fees. The 6:1 ROAS figure is calculated against revenue rather than profit, a distinction that matters because ROAS does not account for product margin, fulfilment, or the cost of the experience itself.

The gap between the 1.8 million dollar total revenue figure and the roughly 500,000 dollars credited to social is the part of the case study that most rewards scrutiny. It suggests the brand measured revenue across multiple channels while isolating the social contribution, a setup consistent with multi-touch or platform-reported attribution. Basis did not disclose the attribution model used, and attribution methodology is precisely the variable that determines how much weight a 6:1 figure should carry.

What Basis describes as the strategy

The case study attributes the results to what Basis calls a full-funnel paid social campaign. The challenge, as Basis frames it, was that the adventure experience brand sold a product not typically bought more than once - a structural constraint that pushes a campaign toward continuous new-customer acquisition rather than repeat-purchase retention.

Basis describes the targeting approach as built on three audience-construction tactics: lookalike audiences, cart abandoners, and geotargeting. Layered on top of those, the company describes the use of suppression lists intended to remove existing customers from the addressable pool, so that acquisition budget is not spent re-reaching people who have already converted.

That combination is not novel, and Basis does not present it as such. Lookalike audiences extend a known customer list into a probabilistically similar population. On Meta, lookalike audiences historically followed custom audiences and expanded the addressable reach for performance advertisers by finding users statistically similar to a seed list. Cart abandoner targeting addresses a documented leak in e-commerce funnels: industry data referenced in coverage of Google's Universal Cart puts cart abandonment rates near 70 percent, with substantial retail revenue historically recovered through retargeting. Geotargeting narrows delivery to locations where an adventure experience can actually be consumed.

Suppression lists perform the inverse function. Rather than finding new audiences, they exclude known ones. For a brand whose product is essentially a single-purchase item, suppressing prior buyers is a direct lever on CPA, because every impression served to an existing customer is acquisition spend that cannot produce an acquisition.

Why suppression matters for a single-purchase product

The single-purchase characteristic of the adventure brand's product is the detail that gives the campaign structure its logic. When a product is bought once, the lifetime value of a customer is largely fixed at the point of first purchase, and the marketing task collapses into acquisition efficiency. There is little retention upside to chase.

That framing aligns with how acquisition objectives are increasingly defined in marketing operations. Suppressing existing customers from acquisition campaigns is treated as a core efficiency mechanism, paired with lookalike expansion to reach genuinely new prospects. The pairing - lookalikes to expand, suppression to exclude - is the same architecture Basis describes, and it reflects a broader move toward treating acquisition spend as a closed system in which wasted impressions are the primary enemy.

The distinction between CPA and customer acquisition cost is also relevant here. CPA measures the cost of any specified action, while customer acquisition cost measures the cost of acquiring a paying customer. Basis reports a 30 dollar CPA. Whether that figure equals true customer acquisition cost depends on what counted as a conversion and whether the 6,234 conversions were all genuinely first-time buyers, a question the case study addresses by labelling them new customer conversions but does not document with methodology.

The platform context the case study sits inside

The campaign described by Basis runs against a paid social backdrop that has shifted considerably over the past year, and that context shapes how repeatable a 6:1 result is likely to be.

Meta, the dominant paid social environment for performance campaigns of this type, has steadily moved control away from advertiser-defined audience boundaries and toward algorithmic discretion. The company deprecated legacy campaign APIs in favour of its Advantage+ structure, and the workaround Meta published for separating existing customers from new customers requires creating two ad sets per campaign - one carrying a custom audience of existing customers, the other excluding it. That technical detail matters for any suppression-based strategy: the mechanism for excluding existing customers now lives inside a campaign structure that Meta increasingly automates.

Meta reported that Advantage+ sales campaigns delivered average return on ad spend improvements of 22 percent across its advertising ecosystem, a figure the company cited in its Q2 2025 earnings, where it posted 46.6 billion dollars in advertising revenue. By the fourth quarter of 2025, Meta's advertising revenue reached a record 58.1 billion dollars, with the company again citing the 22 percent ROAS improvement from Advantage+ across the year. Those platform-level figures are not directly comparable to a single campaign's 6:1 ROAS, but they establish the environment: automated campaign types are now the default for sales objectives, and the platform treats advertiser targeting inputs as suggestions rather than hard constraints.

That automation trend has consequences for the suppression approach Basis describes. Where suppression lists once enforced hard exclusions, the platforms increasingly relax targeting in pursuit of performance. Meta introduced a default setting allowing it to spend up to 5 percent of budget on each excluded placement in sales and leads campaigns, a change that activates unless advertisers opt out. The same directional shift is visible at Google, which removed the hard targeting control from Lookalike segments in Demand Gen, converting what was a ceiling into a suggestion. For advertisers who build campaigns around precise audience boundaries, the platforms are progressively narrowing how precise those boundaries can be.

How the reported results compare

The 6:1 ROAS figure Basis reports sits within the range seen in other vendor case studies, though comparison is complicated by inconsistent methodology across the industry.

In a separate paid social case study, Wunderkind reported that beta clients of its identity-based audience targeting for Meta Ads Manager experienced between 7 and 9 times return on ad spend lift during the first 30 days of implementation, attributing the results partly to the elimination of redundant advertising to users already engaged through owned channels - the same suppression logic Basis describes. Retail media case studies cited by IAB Europe have reported figures as high as 20 times return on ad spend through category-sponsored solutions, a reminder that ROAS numbers vary enormously by channel, product category, and how revenue is attributed.

The variation underlines a limitation that applies to the Basis case study and to vendor case studies generally. A ROAS figure without a disclosed attribution model, product margin, and full cost base is a directional claim rather than a verifiable one. The 6,234 conversion count and the 30 dollar CPA are more concrete, because they describe discrete events and a per-event cost, but even those depend on the definition of a conversion.

Why this matters for the marketing community

For performance marketers, the Basis case study is less interesting as a result than as a description of a method that has become a default. The combination of lookalike expansion, cart abandoner retargeting, geotargeting, and customer suppression is the standard toolkit for acquisition campaigns on paid social, and the case study is useful chiefly as a worked example of how those pieces fit a single-purchase product.

The harder question is durability. Each of the four tactics Basis names depends on platform features that are changing. Lookalike audiences depend on seed-list matching and on the platform honouring the similarity boundary - a boundary Google has already loosened in Demand Gen. Suppression depends on the platform respecting exclusion lists - and Meta now spends a slice of budget on excluded placements by default. Cart abandoner targeting depends on the abandonment event being visible to the platform, which privacy changes and signal loss have made less reliable. Geotargeting is the most stable of the four, but it is also the least differentiating.

The marketing relevance, then, is not that a 6:1 ROAS is achievable - vendor case studies routinely report strong numbers - but that the architecture producing it is being steadily absorbed into platform automation. As Meta's Advantage+ structure becomes the default and Google converts targeting controls into suggestions, the advertiser's role shifts from constructing audiences to supplying signal and judging output. A campaign like the one Basis describes, built on manual segmentation and explicit suppression, represents a configuration that the platforms are progressively folding into their own algorithms. The case study captures a method at the point where it is becoming infrastructure.

For brands selling single-purchase products specifically, the underlying economics remain unchanged regardless of platform shifts. When repeat purchase is not available as a lever, acquisition efficiency is the entire game, and the 30 dollar versus 50 to 60 dollar CPA contrast Basis reports is the metric that decides whether such a campaign is viable. That part of the case study - the CPA reduction - is the figure most worth attention, because it speaks to the structural constraint rather than to the headline ROAS.

Timeline

Summary

Who: Basis, a Chicago-based advertising technology company, distributed the case study. The campaign client is an unnamed global adventure experience brand.

What: A full-funnel paid social campaign that Basis says generated 1.8 million dollars in revenue, with nearly 500,000 dollars attributed to social media, a 6:1 return on ad spend against a 5:1 target, a 30 dollar cost per acquisition down from a 50 to 60 dollar historical range, and 6,234 new customer conversions. Basis attributes the results to lookalike audiences, cart abandoner targeting, geotargeting, and suppression lists that excluded existing customers.

When: Basis circulated the case study on May 25, 2026.

Where: The campaign ran on paid social platforms. Basis is headquartered at 11 E. Madison St., Chicago, Illinois.

Why: The adventure brand sold a product not typically purchased more than once, a structural constraint that forces a campaign to depend on continuous new-customer acquisition rather than repeat purchase. Suppression of existing customers and lookalike expansion were used to direct acquisition spend toward genuinely new prospects, and the reduction in cost per acquisition is the metric that determines whether such a campaign is economically viable.

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