Julian Goldie Avatar Results (60-Day Content Test)

The Julian Goldie avatar results after 60 days are eye-opening — and this case-study post breaks down exactly what worked, what didn't, and what I'd do differently.

This is the results post.

What changed.

What stayed the same.

Real metrics.

🔥 Want the full Julian Goldie avatar process? AI Profit Boardroom has the complete walkthrough plus weekly live coaching. → Get the playbook

Day 0 — The Baseline

Before avatar.

Daily content: 1-2 videos/wk.
Recording time: 60-90 mins per video.
Editing time: 30-60 mins.
Total: ~3-5 hrs/wk on content.
Output: 8-10 videos/month.

Day 30 — First Real Results

After avatar setup + automation.

Daily content: 1-2 videos/day.
Recording time: 0 mins.
Editing time: 5-10 mins polish.
Total: ~30 mins/day.
Output: 30-60 videos/month.

5-7x volume increase.

Day 60 — The Compounding

By day 60.

Multi-channel publishing automated.
Engagement metrics improving (audience growing used to avatar).
Repurposing pipeline running.
Output: 90-120 videos in 60 days.

vs traditional 16-20 videos in 60 days.

Watch The Walkthrough

For Hermes-side automation:

Real Metrics — 60 Days

What I measured.

Volume

Pre: 8-10 videos/month.
Post: 60-120 videos/month.
Lift: 6-12x.

Time

Pre: 12-20 hrs/month.
Post: 5-10 hrs/month.
Saved: 50%+ even with 6-12x output.

Reach

New audience growth: 3-5x prior rate.

Revenue

Increased Boardroom signups (correlated with content volume).

What Worked

Three things.

1 — Voice clone quality

11Labs nailed my voice.

Audience couldn't distinguish.

2 — Daily research agent

Trending topics every day = always-fresh content.

3 — Multi-channel distribution

One render → 5 channels = leverage.

What Didn't Work

Three lessons.

1 — Generic script outputs

Without my style training, scripts felt off.

Lesson: train script agent on your tone deeply.

2 — Long-form avatar fatigue

Audiences tolerate short avatar more than long.

Lesson: keep avatar videos under 5 mins.

3 — Distribution timing

Posting all 5 channels same minute = throttled.

Lesson: stagger distribution over 30-60 mins.

What I'd Do Differently

Three changes.

1 — Train script agent earlier

I waited 2 weeks. Should've started day 1.

2 — Build A/B testing into pipeline

Test 2 hooks per video.

3 — Skip distribution to platforms with low return

LinkedIn was great. Some others weren't.

Drop the underperformers.

Costs Vs Returns

Costs

HeyGen: £49/mo (Pro).
11Labs: £22/mo.
n8n cloud: £20/mo.
Firecrawl: £20/mo.
LLM API: £40/mo.
Distribution: £30/mo.
Total: ~£180/mo.

Returns Over 60 Days

Time saved: ~30 hrs.
Output: 6-12x.
Audience growth: 3-5x.
Revenue: 2-3x correlated lift.

ROI: easily 10-20x for any creator with monetisation.

Engagement Patterns

What I noticed.

Pattern 1 — Avatar videos perform 80-90% as well as live recordings

Not 100%, but close.

Compounded over 6-12x output, net win.

Pattern 2 — Disclosure didn't hurt

Comments mostly positive when disclosed.

Pattern 3 — Hooks matter more than ever

With volume, weak hooks fail fast.

Strong hooks scale fast.

Which Use Cases Worked Best

Five.

1 — Daily AI news commentary

High demand. Avatar perfect for it.

2 — Tool tutorials

Avatar handles step-by-step well.

3 — Cohort delivery videos

For paid courses.

4 — Weekly recaps

Repackaging existing content.

5 — Multi-language versions

Same script translated.

Which Use Cases Failed

Three.

1 — Highly emotional content

Avatar can't yet emote nuanced grief, joy, etc.

Manual wins.

2 — Live Q&A response

Real-time response = manual.

3 — Inside-stories with personality

Audience wants raw you for these.

What I'd Tell My Past Self

Three rules.

1 — Start sooner

Avatar tech in 2026 is good.

Don't wait.

2 — Train style agent immediately

Day 1.

3 — Track everything

Without metrics, you can't optimise.

When AI Avatars Don't Fit

If:

Your audience values raw personality.
Live interaction is core.
Niche values manual auteurship.

Stick with manual.

Otherwise, build it.

The Compounding Effect Real

After 60 days.

Subscriber growth compounds.
Distribution data feeds research.
Style agent improves.
Output improves week over week.

This is exponential, not linear.

🚀 Want help replicating these results? AI Profit Boardroom has weekly live coaching for avatar creators. → Join here

Common Member Questions

Three.

"How fast can I see results?"

Volume: week 1.

Audience: month 1-2.

Revenue: month 2-3.

"Will my audience react badly?"

If disclosed properly, no.

"Is it ethical?"

Yes when disclosed.

No when used to deceive.

What Comes Next

Phase 2 of my own avatar journey.

1 — Multi-niche avatars

Different personas for different markets.

2 — Multi-language

Same content, multiple languages.

3 — Closed-loop optimisation

Performance data feeds research deeply.

The Boardroom covers all three in advanced modules.

FAQ — Julian Goldie Avatar Results

Best surprise result?

Volume + audience growth without quality drop.

Worst surprise?

How addictive checking metrics gets.

Time invested in setup?

~10-15 hrs over week 1.

Time saved over 60 days?

~30 hrs.

Recommendation?

Build it.

For most creators, ROI in week 2-4.

What if I quit halfway?

Sunk cost low.

But the compounding requires consistency.

Worth Boardroom upgrade for help?

For anyone serious — yes.