Results
Case Studies.
We do not publish a case study without verifiable data. This library shows how NWLAB reads results, which benchmarks make sense by context and what criteria we use to tell real proof from empty narrative.
ShowBoost · Aggregate reference for events
Industry: Live events / Concerts and festivals
Services: Paid Media (Meta + Google + TikTok) with the ShowBoost methodology
Concert promoters struggling to scale ticket sales beyond the organic audience they already had. Dependence on social posts with no structured paid media system.
The selling window for events is short, the cost per ticket changes with the campaign phase and the final sprint concentrates a disproportionate share of the revenue. A benchmark with no phase context almost always misleads.
Aggregate result (multiple events)
US$ 450k+ (BRL 2.3M)
Total invested in media
US$ 3M+ (BRL 18.0M)
Return generated in ticket sales
768%
Average ROI
Consolidated operational data and an internal reference benchmark. Individual case studies only go on the site after publication is approved.
How to read benchmarks by industry
Health / Aesthetics: what to check before believing a number
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Cost per booking on its own is not enough; it has to be read together with the show-up rate and the order value
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Local SEO without profile consistency and real reviews tends to inflate expectations
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A benchmark with no context of city, procedure and clinic maturity leads straight to a mistake
E-commerce / DTC: what a benchmark needs to show
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ROAS with no margin, no order value and no repeat purchase is worth almost nothing
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Email marketing has to be read as a share of revenue, not only as open rate
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CRO has to separate real gain from traffic that a campaign improved
B2B / SaaS: what separates a vanity metric from a result
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A lead is only a good lead when the ICP makes sense
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A low CPL with a bad pipeline makes the operation worse, not better
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A benchmark is only worth something when it brings context of sales cycle, deal size and qualification rate
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