How One Alcohol Brand Tied $2.5M in Sales to Influencer Campaigns

Background

Across both CPG and DTC brands, influencer marketing has become a major campaign strategy and line item, but proving direct financial impact remains a challenge. Metrics like views, likes, and reach tell you how people engaged, not whether they bought. For years, the inability to tie sales to influencer campaigns has kept the channel in a gray zone: clearly valuable, but rarely measured with the same rigor as paid media.

That’s changing. Sophisticated marketers are no longer accepting engagement as the KPI for justifying future investment in the channel and their creator partners. They’re turning to solutions like StatSocial to connect social campaigns to real sales outcomes.
One popular alcoholic beverage brand wanted exactly that. After running a multi-channel campaign combining organic influencer content and paid social media across celebrity partnerships and regional influencers, they partnered with StatSocial to answer a deceptively simple question: did our campaigns increase revenue?

The Challenge

Significant Influencer marketing investments come with real pressure to perform, and the brand knew that a successful-looking campaign wasn’t enough. They needed to know exactly how their investment impacted sales. With a significant budget allocated across celebrity partnerships and regional influencers, the stakes were too high to rely on gut feel and engagement metrics.

The brand wanted to know the campaign’s true impact across a set of KPIs, that not only validated the marketing spend, but to inform where to invest next: which channel was actually driving sales, which audiences were converting, and how to allocate budget across influencers and paid social going forward.

The Solution

Leveraging the StatSocial platform, the brand could identify the real people behind the campaign’s reach, then matched those audiences to in-store purchase data. For the first time, the brand could see exactly which households were exposed and what they actually bought.

Here’s what changed:

• Identifying the real people behind the reach
  With StatSocial’s patented PeopleGraph (Identity Graph) the brand could resolve the unique identities behind influencer follower counts and paid social impressions, identifying an estimated 9.2 million unique households exposed to the campaign. Influencer content reached approximately 2.9 million households (after applying a conservative 65% discount for duplicate exposures across overlapping influencer audiences), and paid social reached an additional 6.3 million.
  
• Building a demographically matched control group
  For both channels, StatSocial built a control group of non-exposed consumers based on the same demographics as the exposed audience. This ensured any sales differences could be attributed to campaign exposure rather than underlying audience characteristics.
  
• Matching to real purchase data
  Both the exposed and control groups were matched against grocery loyalty card data, with purchase history of all brand products tracked before, during, and after the campaign period.
  The brand chose to capture purchase data across major grocery chains only, excluding Walmart, Target, Costco, and other retail channels where the brand also sells. It’s important to note that the measurement window also didn’t capture the full lag effect of consumers buying weeks after exposure, so sales impact across all retail was likely meaningfully higher.

The Results

The combined influencer and paid social campaign generated $2.5 million in incremental revenue against $674k in total ad spend, a 3.7x Return on Ad Spend (ROAS).

To put that in context: a ROAS of 2–3x is considered excellent and represents the industry average. A ROAS of 3–5x is exceptional. This campaign cleared that bar comfortably.

Influencers outperformed paid social on sales impact but paid social won on reach

• Organic influencer content was the stronger performer per household. It generated a 3.9x ROAS and drove $0.69 in incremental revenue per exposed household, nearly 9x the per-household lift of paid social. And exposed households spent 29% more than the demographically matched control group.
• Paid social reached more than twice as many households at a fraction of the cost. With over $160k in spend, it delivered a 3.1x ROAS, still firmly in the “exceptional” range, and extended the campaign’s footprint by 6.3 million additional households.

The campaign drove growth in two ways

• New customer acquisition. Influencer content drove a 28% lift in the percentage of unique new customers, a dramatic acceleration in bringing first-time buyers into the brand. Paid social contributed a 2.5% lift that was more modest, but meaningful at scale given its broader reach.
• Higher purchase frequency. Existing customers exposed to influencer content bought more often, with a 6.6% lift in average transactions per customer (from 3.05 to 3.25 transactions). Paid social drove a 0.6% lift in purchase frequency (3.05 to 3.07).

A note on transaction value: influencer-exposed households spent slightly less per transaction ($22.40 vs. $23.50 control), which is expected. Influencers drove a disproportionate share of new customers, and new customers typically spend less on their first few purchases as they try the product. Paid social transactions came in slightly above control at $23.70.

Key Takeaways

• Influencer marketing is the highest-impact channel per household. Influencer content does the heavy lifting when it comes to changing consumer behavior. It’s what wins new customers and keeps existing ones coming back more often. In this campaign, it drove a 3.9x ROAS, a 28% lift in new customer acquisition, and a 6.6% lift in purchase frequency.
• Paid social is the reach multiplier. At a fraction of the cost, paid social extends a campaign’s footprint to millions more households. The per-household impact is lower, but the volume makes it a smart complement to influencer investment — not a replacement. With StatSocial, you can retarget any influencer’s following and lookalike audiences before, during or after a campaign to expand reach.
• The two channels work better together than apart. Influencer partnerships drive depth (conversion, loyalty, frequency). Paid social drives breadth (reach, awareness, scale). The combined 3.7x ROAS reflects what happens when both are measured and optimized as a system, rather than competing line items.
• You can’t optimize what you can’t measure. For years, the inability to tie sales to influencer campaigns kept the channel running on faith. This study shows that social campaigns can be connected directly to real in-store sales with the same rigor expected from any other channel. That ability to measure influencer campaigns unlocks smarter allocation decisions going forward.

What this means for your next campaign

For brands investing in influencer and paid social at scale, three moves follow directly from these results:

• Run sales lift studies on a regular cadence. Quarterly measurement turns influencer marketing from a faith-based line item into a managed performance channel, and gives you the data to defend (or redirect) the spend.
• Isolate high-investment partnerships into their own test segments. Celebrity deals and major paid blitzes carry the most budget and the most uncertainty. Measuring them individually is the only way to know what they’re actually worth. You can even test the impact of celebrity partnerships against multiple influencer partners with smaller followings.
• Use influencer partnerships for conversion, paid social for scale. This campaign showed exactly where each channel earns its keep. Lean into influencers for new customer acquisition and frequency lift. Use paid social to amplify the best-performing influencer content and extend reach cost-effectively.

Want to know what your influencer campaigns are worth? Schedule a demo to get started.