Real results from real campaigns

Two engagements, two scales: AG1’s 20,000-creator recruiting program and Spacegoods’ lean three-week gifting sprint. No projections, no industry averages dressed up as results.

0

Creators contacted

AG1

Projected campaign ROI

AG1

0.0%

Creator response rate

Spacegoods

Lower campaign cost

Spacegoods

From the AG1 and Spacegoods campaigns — full case studies below

Case study 01 — Enterprise scale

AG1
Health & Wellness · Affiliate Recruiting at Scale

20,000+ creator conversations, answered in under a minute

Creator post auto-detected during the AG1 campaign
Creator post auto-detected during the AG1 campaign
Creator post auto-detected during the AG1 campaign

Real creator posts auto-detected during the campaign — 1.1M+ Instagram views tracked across 126 creator accounts

Conversion Funnel

Creators contacted20,521
Replies received (~12%)2,460
Creator opt-ins (~10%)2,030

~7 weeks, 40 Gmail inboxes, 26,152 conversation threads — campaign still active.

The Challenge

AG1’s affiliate recruiting program meant 26,000+ email threads across 40 inboxes, data extraction for 2,000+ creators, and replies needed in every language — a volume that would take 15–20 staff to handle manually, with leads going cold during hours-long response delays.

What Cheerful Ran

  • All 40 Gmail inboxes unified into one workspace with AI status tracking
  • Context-aware replies pre-drafted for one-click send, tuned by 80 custom rules from the AG1 team
  • Intelligent routing: 123 paid requests redirected to the affiliate program, 261 FAQs answered automatically, 45 edge cases escalated to humans
  • 5,000+ Google Sheets updates: names, handles, and opt-in status captured from natural conversation
  • Native replies in German, French, Spanish, Portuguese, and more. No translators.
24×

projected ROI: $36k value on ~$1.5k spend

2,030

creator opt-ins captured automatically

<1 min

average response time, any language

90%

of the workload removed from the team

Case study 02 — The lean team

Spacegoods
Functional Wellness · Product Seeding

400+ creators gifted in 3 weeks — for $1k instead of $12k

Spacegoods Rainbow Dust adaptogen blend

Industry

Health & Wellness

Hero product

Rainbow Dust Adaptogen Blend

Campaign goal

Large-scale product seeding to 400+ creators

Target creators

Wellness, fitness & lifestyle influencers

The Challenge

Spacegoods, the UK wellness brand behind Rainbow Dust, wanted to gift 400+ creators — with zero bandwidth to do it. Done manually, the campaign meant 852 personalized emails, 374 multi-step conversation threads, and 220+ Shopify orders: roughly $12,000 and a dedicated team member for three months.

What Cheerful Ran

  • Personalized outreach to 368 creators across 5 batches, in Spacegoods’ warm, casual voice
  • Smart follow-ups: up to 3 per creator, spaced 3 days apart, progressively lighter
  • AI conversations collecting addresses, phone numbers, and code preferences, with replies sent natively in German, French, Spanish, and more
  • Discount codes auto-created and Shopify orders drafted, triggered on shipping confirmation
  • Automatic Instagram post detection with metrics captured in real time

“Cheerful turned our 1-person team into a 10-person operation.”

Dan from Spacegoods

Dan – Influencer Marketing Lead

Spacegoods

Campaign Funnel

Creators identified474
Outreach emails sent368
Engaged216
In active conversation137
Shipped47

Data as of March 25, 2026 — campaign still active, with 137 creators in conversation and 92 pending outreach.

484

follow-up emails sent automatically

374

AI-managed conversation threads

89

discount codes auto-created in GoAffPro

220

Shopify orders drafted automatically

The report your team gets every month

Gifts shipped, posts detected, reach, top creators, and ROI — compiled automatically. Here’s a full sample report you can click through.

Sample report · demo data
247

Gifts shipped

189

Posts detected

3.2M

Total reach

6.1×

Campaign ROI

Plus featured creators with per-post views and engagement, content breakdown by platform, languages handled, and next-month recommendations.

View the sample report

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