How Happy Box achieved 61% sales growth and their best holiday season ever with Attribution

When Happy Box needed to move beyond unreliable ad platform data and understand what was actually driving sales, they turned to Attribution for unbiased, full-funnel visibility across every marketing channel — from Meta and Google Ads to email, organic, social, and even AI referral sources.

The Happy Box case study

sales growth in 2025 vs. 2024

sales growth in Q4 (best holiday season ever)

units of their top Holiday Box sold out in 4 weeks

investment plans built on Attribution data

About

Happy Box is a Canadian consumer and corporate gifting company that curates gift boxes featuring products from Canadian small businesses. Serving both individual consumers and corporate clients, Happy Box offers seasonal collections, holiday gifting, and custom corporate gifting solutions across Canada.

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Ad platforms told one story — Shopify sales told another

Before Attribution, Happy Box had no real understanding of what was actually working in their marketing. They were running campaigns across Meta Ads and Google Ads, sending email campaigns through Klaviyo, and generating traffic from organic search, social media, and direct channels — but the only performance data they had came from the ad platforms themselves.

The problem: the platforms’ self-reported numbers didn’t match reality. Meta suggested significant ROI on campaigns, but Happy Box wasn’t seeing those results reflected in their Shopify sales. The gap between what the platforms claimed and what was actually converting created a fundamental trust problem.

This wasn’t just an analytics issue — it was a budget allocation problem. Without reliable attribution data, Happy Box couldn’t confidently answer basic questions:

  • Which paid campaigns should get more budget, and which should be cut?
  • How much were organic channels, email, and social actually contributing to revenue?
  • Were they acquiring new customers or driving repeat purchases — and which channels did each?
  • What was the true ROAS on their marketing spend, not what Meta or Google told them?

For a growing e-commerce brand investing across Meta Ads, Google Search, Google Performance Max, Google Shopping, Klaviyo email campaigns and flows, organic search, social media, and corporate outreach, these blind spots were costly. Every dollar spent on an underperforming campaign was a dollar not spent on one that was actually driving sales.

Happy Box needed a single source of truth — one that could track the full customer journey from first visit through purchase, across every channel, without relying on ad platform self-attribution.

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Attribution revealed which channels were really driving sales — and where to double down

Happy Box integrated Attribution with their Shopify store on August 1st, 2024. The platform immediately began tracking every site visitor with a unique ID, connecting that data to purchase events in Shopify, and pulling in spend data from Meta Ads and Google Ads — giving Happy Box an unbiased, unified view of marketing performance for the first time.

With Attribution, Happy Box gained access to:

  • Full-funnel, multi-touch visibility: Instead of relying on Meta’s or Google’s self-reported conversion numbers, Happy Box could now see every touchpoint in a customer’s journey — from the first ad impression or organic visit through to the actual Shopify purchase. This revealed how channels worked together, not just in isolation.
  • Unbiased cross-channel ROAS: Attribution centralized spend and revenue data from Meta Ads and Google Ads alongside zero-cost channels like Klaviyo email, organic search, social, and direct traffic. For the first time, Happy Box could compare true ROAS across all channels on an even playing field.
  • New vs. repeat customer insights: Attribution revealed which channels were driving first-time purchases versus repeat buyers — a critical distinction for a gifting business with strong seasonal patterns. This allowed Happy Box to tailor channel strategy to each customer segment.
  • Campaign-level optimization: Within Google Ads, Happy Box could see that their Performance Max campaigns (generating nearly 500 conversions and $76K+ in revenue from August through February) and Consumer Search campaigns were their strongest performers. Within Meta, they could identify which audiences — like their Holiday Audience and Past Purchase retargeting — were actually converting versus just generating clicks.
  • Discovery of emerging channels: Attribution automatically surfaced traffic and conversions from AI sources like ChatGPT and Perplexity, as well as revenue from their Shopify Shopping Channel, organic search across Google, Bing, and Yahoo, and social channels including Instagram and Facebook — channels that would have been invisible or undervalued in platform-only reporting.

Armed with real data, Happy Box made significant shifts in budget allocation. They could now make confident decisions about which ad campaigns to increase or decrease spend on — and the results compounded month over month.

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61% sales growth and a record-breaking holiday season

The impact of data-driven decision-making was immediate and significant. Within months of implementing Attribution on August 1st, Happy Box headed into the 2024 holiday season with a level of visibility they’d never had before — and the results speak for themselves.

With Attribution, Happy Box achieved:

  • 61% sales growth in 2025 vs. 2024
  • 76% sales growth in Q4 — their best holiday season in company history
  • 1,000+ units sold of their top Holiday Box in just 4 weeks (a sell-out and a major company goal)
  • ROAS increased month-over-month as budget was reallocated based on Attribution data
  • LTV visibility that revealed the longer-term impact of marketing efforts beyond immediate ROAS
  • Confident 2026 investment plans built directly on Attribution data

Beyond the headline numbers, Attribution fundamentally changed how Happy Box thinks about marketing. They moved from guessing based on platform-reported metrics to making data-backed decisions grounded in actual Shopify revenue.

The LTV insights were particularly valuable. Happy Box didn’t just see immediate ROAS — they gained visibility into how marketing efforts drove repeat purchases over time. This allowed them to maximize different channels for impact on first-time buyers versus returning customers, a critical capability for a seasonal gifting business.

The data also gave Happy Box the confidence to plan ahead. Their 2026 investment strategy — including budget allocations across paid, organic, email, and emerging channels — was built entirely on insights from Attribution, rather than guesswork or ad platform projections.

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