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Bigmat: 25.61x Return on Paid Social Over Christmas

A festive retail push that turned paid social into the single biggest revenue channel of the season.

The short version

Over the Christmas trading window, The Growth Bully built Bigmat a paid Meta programme engineered around return. It delivered a 25.61x return on ad spend, drove 321 orders, and carried 52 percent of all online revenue for the season, with automated email flows adding incremental revenue on top.

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Campaign overview

What we built.

Bigmat is a building and hardware retailer moving into serious online sales. The Christmas trading window is the highest-stakes period of their year, and the brief was direct: make the festive season pay, and prove it. The challenge with seasonal retail is noise. Every brand is bidding, inboxes are full, and shoppers are comparing fast. To win, paid had to do more than drive traffic. It had to carry a meaningful share of total online revenue while staying ruthlessly efficient. We built a paid Meta program designed around return, layered email flows on top to capture demand the ads created, and tracked every order back to source so the result was not a guess.

The numbers

Key achievements.

Campaign performanceMeta Ads

25.61x

Return on ad spend

321

Orders driven through paid

52%

Share of total online revenue from paid

Incremental

Revenue added by email flows

Scope of work

Services delivered.

Paid Media

A festive Meta program built around return on ad spend rather than reach or impressions.

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Meta Ads

Audience and creative segmentation matched to gifting and seasonal buying intent, with sequenced prospecting and retargeting.

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Email & CRM

Automated email flows layered on top of paid to recover and extend the revenue the ads generated.

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Content Creation

Seasonal ad creative tuned to high-intent shoppers comparing fast during the peak trading window.

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Strategy

Campaign strategies.

Built for return

Structured the festive Meta account around return on ad spend, not reach or impressions.

Intent-matched segmentation

Built audience and creative segmentation matched to gifting and seasonal buying intent.

Prospecting and retargeting

Sequenced prospecting and retargeting so demand was captured at the moment of intent.

Email layered on paid

Layered automated email flows on top of paid to recover and extend revenue the ads generated.

Source-level attribution

Tracked every order to source so paid's true contribution to revenue was measurable, not assumed.

Conclusion

What it proved.

A 25.61x return with paid carrying over half of all online revenue is not a lucky season. It is a system. Bigmat now has a festive engine that pays for itself many times over and gets sharper every time it runs.

Why it worked

The advantage.

Paid social became the primary revenue driver of the trading period

A measurable, repeatable festive playbook the business can run every peak season

Email flows extended revenue beyond the click without adding pressure to the ad account

Clear source-level attribution, so budget decisions are based on evidence

Questions

The detail, answered.

What return did the Bigmat Christmas campaign deliver?

The paid Meta programme returned 25.61x on ad spend across the festive trading window. It drove 321 orders and accounted for 52 percent of the total online revenue for the season, with automated email flows adding further revenue on top of the paid result.

How did paid social become the biggest revenue channel of the season?

We structured the festive Meta account around return on ad spend rather than reach, matched audiences and creative to seasonal buying intent, and sequenced prospecting and retargeting so demand was captured at the moment of intent. Every order was then tracked back to source.

What role did email marketing play in the results?

Automated email flows were layered on top of the paid programme to recover and extend the demand the ads created. This added incremental revenue without putting extra pressure on the ad account or its budget.

Is a seasonal result like this repeatable?

Yes. The programme was built as a system, not a one-off campaign. Bigmat now has a festive engine with source-level attribution that can run every peak season and gets sharper each time it runs.

How do you prove that paid drove the revenue?

We tracked every order back to its source, so the contribution of paid social was measured rather than assumed. That source-level attribution is what lets budget decisions be based on evidence instead of guesswork.

Testimonials

What our clients say.

The Growth Bully's targeted approach brought us quality leads, increasing inquiries and bookings for Busy Bee. Their commitment made a real difference.