BMR

Output of Learning

Big Mak Rates

Output of learning

Maks Laughlin Output Of LearningBig Mak Rates

This site presents the full review account as evidence. Each reel sits beside its analytics and audience response so the learning is visible in the same place as the finished work.

Final reels

6

Interview, Arkaba, Parisi, San Churro, Betty’s and Shake Shack

Top reach

120,691

Arkaba became the strongest public test

Follower growth

+904.6%

1,316 followers in the comparison period

Best proof

Comments + analytics

Audience reaction turned the account into evidence

Big Mak Rates

Interview Reel

Rating / role

Format test

What I learned

People on camera made the account feel more legitimate, but the opening still had to be tighter to hold attention.

Analytics read

The interview proved the concept could feel like a real creator account, not just a food clip.

The first public format pivot. Instead of only showing food, I put a person on screen and tested whether the reel felt more real and easier to trust.

This reel became the confidence test: upload with a face, measure the response, then tighten the next edit.

Views

8,994

Accounts reached

6,896

Average watch

15s

Follows

67

Profile visits

676

Shares

47

Views over time

Built from the reel insights so the growth pattern is readable inside the site.

31 Mar

8,994

Retention

This curve shows where viewers stayed and where they dropped.

0:49

8%

Where the views came from

This shows whether the reel travelled beyond the existing audience.

Who watched

Follower split shows whether the reel stayed inside the account or reached outward.

What affected views

The strongest driver is usually the quickest read on whether the edit worked.

Audience and feedback

Audience reaction was part of the learning evidence, not just noise.

Audience signal

reflection

The interview format felt more personal and creator-led.

Measured result

supportive

67 follows came from a non-food-first format, which showed personality could convert.

Learning outcome

reflection

Retention still dropped early, so trust helped, but pacing still mattered.

Arkaba Hotel

Arkaba Hotel Review

Rating / role

Main case study

What I learned

This showed me that strong opinions drive reach, but comments and retention decide whether the attention is useful.

Analytics read

Arkaba turned the account into an actual public conversation, and that made the analytics genuinely meaningful.

The Arkaba reel is the strongest evidence in the account. The hook, the judgement and the audience reaction all happened at a much bigger scale than the other uploads.

Arkaba is the best example of the create-measure-improve loop because the audience response was both big and divided.

Views

120,691

Accounts reached

96,880

Average watch

21s

Follows

296

Profile visits

2,040

Shares

447

Views over time

Built from the reel insights so the growth pattern is readable inside the site.

19 May

120,691

Retention

This curve shows where viewers stayed and where they dropped.

0:57

13%

Where the views came from

This shows whether the reel travelled beyond the existing audience.

Who watched

Follower split shows whether the reel stayed inside the account or reached outward.

What affected views

The strongest driver is usually the quickest read on whether the edit worked.

Audience and feedback

Audience reaction was part of the learning evidence, not just noise.

robynwales2

critical

A bit sad ... I am sure they would have fixed the problem straight away love the Ark

nelsonx

supportive

With the money those guys make outta pokies the steak should be free

porscheshed78

critical

$50 for that? And business owners wonder why they are losing clientele.

drewsterlfc05

supportive

wear a Liverpool one and would’ve got spit in my food

chef_jwright

critical

Eye fillet is for old people mate

Marker takeaway

reflection

The comments were not just noise. They showed disagreement, humour, venue loyalty and audience participation.

Parisi's Italian, Hyde Park

Parisi's Pizza Review

Rating / role

Positive review

What I learned

A cleaner review can still perform well when the recommendation is clear and the pacing feels deliberate.

Analytics read

Parisi balanced polish with performance, which made it one of the best-looking finished reviews.

Parisi showed the cleaner, more aesthetic side of the account. It kept the same rating structure but used calmer editing and a more polished tone.

This was one of the best-edited reels, so it matters as evidence of production quality, not just raw reach.

Views

3,688

Accounts reached

2,487

Average watch

23s

Follows

15

Likes

99

Comments

19

Views over time

Built from the reel insights so the growth pattern is readable inside the site.

Current

3,688

Retention

This curve shows where viewers stayed and where they dropped.

1:07

12%

Where the views came from

This shows whether the reel travelled beyond the existing audience.

Audience and feedback

Audience reaction was part of the learning evidence, not just noise.

Audience reaction

supportive

The nicer visual style made the review feel more polished and intentional.

Analytics read

reflection

Profile traffic was unusually strong, which suggests this review rewarded people who already trusted the account.

Learning outcome

reflection

Parisi showed that positive reviews can still hold attention when the edit looks premium.

San Churro Norwood

San Churro Review

Rating / role

8.2/10

What I learned

The category change worked visually, and the best feedback was that a brand itself noticed the review.

Analytics read

San Churro matters because it proves transfer: same process, different venue type, and a direct brand response.

San Churro tested whether the review system could move from burgers and pub food into desserts while still feeling like the same brand.

This is the clearest brand-feedback evidence in the output because the venue itself responded publicly and privately.

Views

1,866

Accounts reached

1,406

Average watch

9s

Follows

5

Poll result

93%

Replies

Brand reached out

Views over time

Built from the reel insights so the growth pattern is readable inside the site.

Current

1,866

Retention

This curve shows where viewers stayed and where they dropped.

0:44

11%

Where the views came from

This shows whether the reel travelled beyond the existing audience.

Audience poll

This is lighter feedback than comments, but it still proves public reaction inside the account.

Why it matters

Polls were not the main evidence, but they gave a quick public read on whether the judgement landed. I kept them as a secondary layer beside the harder analytics and comments.

Audience and feedback

Audience reaction was part of the learning evidence, not just noise.

sanchurro_au

brand

We will take it!! Taste and experience over everything 🙌🧡

Bella, San Churro

brand

We would love to set something up ... send proposals to marketing@... so I can discuss the details further.

josh_dartnall_

supportive

very nice mak

dante.russ0o

supportive

Good work maksim

Betty's Burgers

Betty's Burgers Review

Rating / role

7.9/10

What I learned

The review landed positively, but the retention showed I still needed a better hold after the first seconds.

Analytics read

Betty’s was not the biggest reel, but it showed cleaner output quality and immediate audience response.

Betty’s is useful because it shows a cleaner final reel with early analytics, a poll result and direct audience suggestions for the next venue.

Betty’s works as late-stage output evidence because it shows the finished review style plus public poll feedback.

Views

3,299

Accounts reached

2,457

Average watch

11s

Follows

4

Shares

22

Poll result

76%

Views over time

Built from the reel insights so the growth pattern is readable inside the site.

21 Jun PM

3,299

Retention

This curve shows where viewers stayed and where they dropped.

0:53

8%

Audience poll

This is lighter feedback than comments, but it still proves public reaction inside the account.

Why it matters

Polls were not the main evidence, but they gave a quick public read on whether the judgement landed. I kept them as a secondary layer beside the harder analytics and comments.

Audience and feedback

Audience reaction was part of the learning evidence, not just noise.

minhducky67

supportive

Fire

ollie__kirkness

supportive

Cold

tylerperic

supportive

@nordburgerofficial Next 👍🏼

Learning outcome

reflection

The audience still responded, but the reel did not convert at the same level as Arkaba or Interview.

Shake Shack

Shake Shack Review

Rating / role

Lower-performing test

What I learned

The account improved because weaker uploads made the later fixes obvious, especially around hook strength and audience pull.

Analytics read

A lower-performing reel still counts as useful evidence when it clearly shows what did not hit.

Shake Shack is included because weaker uploads still mattered. It gave a comparison point and showed what happened when the edit and response were flatter.

Shake Shack is not here because it was the best. It is here because the weaker result helped shape the later decisions.

Views

1,835

Accounts reached

1,349

Average watch

12s

Follows

1

Likes

56

Comments

9

Views over time

Built from the reel insights so the growth pattern is readable inside the site.

19 May

1,835

Retention

This curve shows where viewers stayed and where they dropped.

0:47

12%

What affected views

The strongest driver is usually the quickest read on whether the edit worked.

Audience and feedback

Audience reaction was part of the learning evidence, not just noise.

Measured result

reflection

Only 1 follow came from this reel, so it worked more as a benchmark than a breakthrough.

Creative read

reflection

This became the contrast case that helped explain why San Churro needed to feel more finished.

Output value

supportive

Including a weaker reel makes the improvement more believable.

Final action

Open the live account.

The website is the organised output. The Instagram account is the original public record where the reels, captions and audience reactions happened in real time.

Open Big Mak Rates
Maks Laughlin · SACE 783173X