This is a real, working SocialHalo workspace: Maya Fitness, our fitness-creator demo. Every number below is genuine. Click any post to watch the clip with its full metrics and retention curve, exactly as it opens inside the product.
Posts analyzed
152
Total views
10.6M
Avg engagement
8.8%
Top-performing posts
Ranked by views across TikTok, Instagram, and YouTube.
Click a post to open the clip
Views by week
Total views on posts published each week, by platform.
TikTok
Instagram
YouTube
TikTok, Instagram and YouTube over time
Period
TikTok
Instagram
YouTube
Oct 27
0
0
226.8K
Nov 3
0
0
300.4K
Nov 10
0
0
18.5K
Nov 17
301.4K
52.1K
14.6K
Nov 24
5.9K
4.2K
343.6K
Dec 1
206.6K
124.6K
0
Dec 8
119.3K
72.2K
10.3K
Dec 15
14.3K
10.5K
123.9K
Dec 22
160.6K
38.4K
78.7K
Dec 29
71.4K
26.4K
0
Jan 5
6.4K
25.3K
7.9K
Jan 12
202.1K
321.8K
29.5K
Jan 19
47.9K
55.7K
267.3K
Jan 26
185.3K
305.8K
4.8K
Feb 2
61K
8.8K
106.5K
Feb 9
38.5K
32.1K
44.2K
Feb 16
170K
19.4K
61K
Feb 23
25.9K
37.3K
0
Mar 2
47K
2.3K
69.7K
Mar 9
189.8K
181.8K
0
Mar 16
170.7K
314.8K
209.2K
Mar 23
53.7K
70.1K
50.6K
Mar 30
428.8K
34.4K
225.8K
Apr 6
71K
141.5K
160.7K
Apr 13
10.7K
29.8K
0
Apr 20
71.7K
18.3K
219.7K
Apr 27
27.2K
13.2K
64.9K
May 4
154.8K
156.2K
75.5K
May 11
176.1K
22.4K
45.9K
May 18
34.9K
0
0
May 25
129.4K
12.1K
149.2K
Jun 1
148.4K
154.6K
58.4K
Jun 8
82.2K
16.8K
1.1M
Jun 15
19.7K
34.5K
36.6K
Jun 22
30.5K
21.7K
68.6K
Jun 29
384.5K
31.2K
0
Jul 6
129.3K
21.5K
9.1K
Jul 13
0
2.4K
0
What the AI concluded this week
Generated from the same posts above, and every claim carries the clips behind it.
Weekly briefing
What changed in the last 7 days, and what to do about it.
Two fully quiet weeks — zero posts and flat followers everywhere.
You published nothing in the last 14 days, so views, likes, and engagement all stayed at zero with no follower movement on TikTok, Instagram, or YouTube. The only recent signal is an older Instagram form-check on posture that still posted solid engagement, which reinforces your directive to lean into specific corrections.
Watchouts
Zero posts across two full weeks — Last 7 days and the prior 7 both logged 0 posts, 0 views, and 0.00% avg engagement across every platform.
Flat followers on all accounts — @mayamoves TikTok (148194), Instagram (87439), and @mayamovestv YouTube (213828) each moved +0 versus 7 days ago.
Evidence
Halo Mind
Ask your numbers a question
Halo Mind answers from the account’s own posts and attaches the receipts. This is a real exchange from the demo workspace. Open a turn to read the full answer, or click any evidence chip to watch the clip.
Q
What should I make more of?
Make more form-check videos. Your correction how-tos — the 'fix this one mistake' clips — pulled the most views on the account, and they did it repeatedly rather than as a one-off spike.
Correction how-tos are your highest-view format, and they repeat week over week.
Saves run above your median on the form fixes — viewers treat them as references, not one-time watches.
Broad motivation posts underperform the how-tos and tilt the feed the wrong way.
Evidence
See the full answerHide the full answer
Make more form-check videos. Your correction how-tos — the 'fix this one mistake' clips — pulled the most views on the account, and they did it repeatedly rather than as a one-off spike. Broad motivation posts trailed well behind on the same weeks. Saves also ran higher on the form fixes, which means people are bookmarking them as references to come back to — the pattern that usually shows up as follower growth a week or two later.
Informed recommendation
Build your top form fix into a short series: one correction per episode, the same intro, numbered so people follow along. A named series gives returning viewers a reason to come back and gives the feed a repeatable format to lean on instead of a scattered mix.
Follow-upsTurn this into a content series?Which format converts to follows?
Q
Which post overperformed and why?
1M views, well ahead of the next posts that week. Two things drove it.
The mistake-first hook stops the scroll in the opening second.
Save rate beat your median, so the clip kept resurfacing after day one.
Posts that buried the payoff later in the clip lost viewers before it landed.
Evidence
See the full answerHide the full answer
Your strongest post was the form-fix clip that calls out the mistake in the opening second — it reached about 1.1M views, well ahead of the next posts that week. Two things drove it. The hook front-loads the payoff ('here's what you're doing wrong'), so people stop scrolling before they decide whether to keep watching. And the save rate came in above your median: viewers bookmarked it to try later, which keeps resurfacing the clip and compounds its reach past the first day.
Informed recommendation
Reuse the opening structure on purpose. Name the error in the first line, show the fix, then explain why it matters. Leading with the payoff instead of the setup is what held the retention curve here.
Follow-upsWhat hook should I test next?Which posts underperformed and why?
Ask Halo Mind about your own numbers
Connect one account free and put your own posts in front of it.
Every hour of the week for TikTok @mayamoves. Darker means more of the audience is around, so posts land when people are watching.
Best time to post
Peak: Thursdays, 8:00 PM – 11:00 PM
12a3a6a9a12p3p6p9p
Sun
Sun 12a · 17% active
Sun 1a · 19% active
Sun 2a · 19% active
Sun 3a · 18% active
Sun 4a · 18% active
Sun 5a · 19% active
Sun 6a · 17% active
Sun 7a · 17% active
Sun 8a · 18% active
Sun 9a · 48% active
Sun 10a · 57% active
Sun 11a · 69% active
Sun 12p · 59% active
Sun 1p · 56% active
Sun 2p · 42% active
Sun 3p · 37% active
Sun 4p · 39% active
Sun 5p · 47% active
Sun 6p · 66% active
Sun 7p · 75% active
Sun 8p · 69% active
Sun 9p · 64% active
Sun 10p · 46% active
Sun 11p · 30% active
Mon
Mon 12a · 16% active
Mon 1a · 18% active
Mon 2a · 17% active
Mon 3a · 17% active
Mon 4a · 18% active
Mon 5a · 17% active
Mon 6a · 19% active
Mon 7a · 18% active
Mon 8a · 20% active
Mon 9a · 25% active
Mon 10a · 29% active
Mon 11a · 45% active
Mon 12p · 59% active
Mon 1p · 57% active
Mon 2p · 46% active
Mon 3p · 40% active
Mon 4p · 36% active
Mon 5p · 46% active
Mon 6p · 59% active
Mon 7p · 78% active
Mon 8p · 70% active
Mon 9p · 58% active
Mon 10p · 44% active
Mon 11p · 28% active
Tue
Tue 12a · 19% active
Tue 1a · 17% active
Tue 2a · 17% active
Tue 3a · 17% active
Tue 4a · 19% active
Tue 5a · 17% active
Tue 6a · 20% active
Tue 7a · 17% active
Tue 8a · 20% active
Tue 9a · 25% active
Tue 10a · 32% active
Tue 11a · 43% active
Tue 12p · 57% active
Tue 1p · 55% active
Tue 2p · 50% active
Tue 3p · 39% active
Tue 4p · 36% active
Tue 5p · 43% active
Tue 6p · 59% active
Tue 7p · 75% active
Tue 8p · 66% active
Tue 9p · 56% active
Tue 10p · 42% active
Tue 11p · 32% active
Wed
Wed 12a · 16% active
Wed 1a · 17% active
Wed 2a · 18% active
Wed 3a · 19% active
Wed 4a · 19% active
Wed 5a · 19% active
Wed 6a · 17% active
Wed 7a · 19% active
Wed 8a · 18% active
Wed 9a · 24% active
Wed 10a · 30% active
Wed 11a · 49% active
Wed 12p · 54% active
Wed 1p · 57% active
Wed 2p · 51% active
Wed 3p · 35% active
Wed 4p · 38% active
Wed 5p · 43% active
Wed 6p · 62% active
Wed 7p · 74% active
Wed 8p · 67% active
Wed 9p · 54% active
Wed 10p · 42% active
Wed 11p · 32% active
Thu
Thu 12a · 19% active
Thu 1a · 17% active
Thu 2a · 19% active
Thu 3a · 17% active
Thu 4a · 17% active
Thu 5a · 19% active
Thu 6a · 17% active
Thu 7a · 20% active
Thu 8a · 21% active
Thu 9a · 21% active
Thu 10a · 33% active
Thu 11a · 42% active
Thu 12p · 55% active
Thu 1p · 57% active
Thu 2p · 51% active
Thu 3p · 36% active
Thu 4p · 34% active
Thu 5p · 42% active
Thu 6p · 57% active
Thu 7p · 68% active
Thu 8p · 74% active
Thu 9p · 65% active
Thu 10p · 47% active
Thu 11p · 29% active
Fri
Fri 12a · 19% active
Fri 1a · 20% active
Fri 2a · 17% active
Fri 3a · 18% active
Fri 4a · 17% active
Fri 5a · 18% active
Fri 6a · 19% active
Fri 7a · 20% active
Fri 8a · 19% active
Fri 9a · 24% active
Fri 10a · 31% active
Fri 11a · 48% active
Fri 12p · 58% active
Fri 1p · 54% active
Fri 2p · 46% active
Fri 3p · 38% active
Fri 4p · 35% active
Fri 5p · 47% active
Fri 6p · 60% active
Fri 7p · 65% active
Fri 8p · 77% active
Fri 9p · 60% active
Fri 10p · 43% active
Fri 11p · 27% active
Sat
Sat 12a · 18% active
Sat 1a · 17% active
Sat 2a · 19% active
Sat 3a · 17% active
Sat 4a · 17% active
Sat 5a · 18% active
Sat 6a · 17% active
Sat 7a · 19% active
Sat 8a · 21% active
Sat 9a · 43% active
Sat 10a · 52% active
Sat 11a · 74% active
Sat 12p · 62% active
Sat 1p · 60% active
Sat 2p · 51% active
Sat 3p · 35% active
Sat 4p · 38% active
Sat 5p · 46% active
Sat 6p · 64% active
Sat 7p · 73% active
Sat 8p · 71% active
Sat 9p · 64% active
Sat 10p · 45% active
Sat 11p · 32% active
Audience activity by day and hour, 0 to 100
Day
12a
1a
2a
3a
4a
5a
6a
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
7p
8p
9p
10p
11p
Sun
17
19
19
18
18
19
17
17
18
48
57
69
59
56
42
37
39
47
66
75
69
64
46
30
Mon
16
18
17
17
18
17
19
18
20
25
29
45
59
57
46
40
36
46
59
78
70
58
44
28
Tue
19
17
17
17
19
17
20
17
20
25
32
43
57
55
50
39
36
43
59
75
66
56
42
32
Wed
16
17
18
19
19
19
17
19
18
24
30
49
54
57
51
35
38
43
62
74
67
54
42
32
Thu
19
17
19
17
17
19
17
20
21
21
33
42
55
57
51
36
34
42
57
68
74
65
47
29
Fri
19
20
17
18
17
18
19
20
19
24
31
48
58
54
46
38
35
47
60
65
77
60
43
27
Sat
18
17
19
17
17
18
17
19
21
43
52
74
62
60
51
35
38
46
64
73
71
64
45
32
You vs. Kai Torres — LiftLab
A saved competitor teardown. Every gap and opening below is backed by the posts behind it, on both sides.
Weekly views: you vs. them
Total views on posts published each week, your accounts against @liftlab.kai.
You
Them
You and Them over time
Period
You
Them
Oct 27
226.8K
No data
Nov 3
300.4K
No data
Nov 10
18.5K
No data
Nov 17
368.1K
No data
Nov 24
353.7K
No data
Dec 1
331.2K
No data
Dec 8
201.8K
47.2K
Dec 15
148.7K
56.9K
Dec 22
277.7K
60.2K
Dec 29
97.8K
134.7K
Jan 5
39.6K
144.7K
Jan 12
553.5K
161.1K
Jan 19
370.9K
183.8K
Jan 26
495.9K
73K
Feb 2
176.3K
43.7K
Feb 9
114.8K
467.3K
Feb 16
250.4K
199.7K
Feb 23
63.2K
36.7K
Mar 2
119K
6.4K
Mar 9
371.6K
1M
Mar 16
694.8K
166.5K
Mar 23
174.4K
21.9K
Mar 30
689K
74.3K
Apr 6
373.2K
15.1K
Apr 13
40.6K
138.1K
Apr 20
309.6K
37.5K
Apr 27
105.3K
159.4K
May 4
386.5K
133.7K
May 11
244.4K
531.1K
May 18
34.9K
204.5K
May 25
290.7K
48.8K
Jun 1
361.4K
157.2K
Jun 8
1.2M
707.1K
Jun 15
90.8K
18.7K
Jun 22
120.8K
3K
Jun 29
415.6K
11.4K
Jul 6
159.9K
27.7K
Jul 13
2.4K
6.3K
Competitor teardown
Where you trail @liftlab.kai, and where you can win.
Kai out-posts and out-reaches you, but he is leaving the beginner audience wide open.
Kai Torres runs a bigger strength-training channel and it shows in raw reach: he uploads most days, builds numbered series that pull people back, and his top clips clear far more views than yours. The catch is who he is talking to. Almost everything he makes assumes you already lift heavy. Your form-correction videos win the nervous first-timer he skips right past, and they hold attention better once someone presses play. Match a little more of his consistency and that beginner lane is yours to take.
Your correction clips hold attention better than his. People finish them and save them to come back to.
He posts most days and runs multi-part series, so his channel keeps compounding while your quieter weeks let momentum cool.
He owns advanced barbell content, but he barely speaks to beginners, the exact viewer you already convert.
Where you trail
Posting cadence
Kai ships most days of the week. Your quieter stretches hand the algorithm a reason to move on before your next post lands.
Series depth
His numbered runs give viewers a reason to return for the next part. Your best fixes usually stand alone, so there is nothing to come back for.
Raw reach
His top posts clear well past yours, carried by a larger following and a heavier upload schedule more than sharper teaching.
Where you can win
Own the beginner
Kai coaches people who already train. Your videos already win the anxious first-timer he ignores, so plant your flag there before he notices the gap.
Bust the myths he repeats
He passes along common gym nutrition claims without checking them. A short, evidence-led series puts you on the right side of the same searches.
Turn one-off fixes into a run
Package your strongest corrections into a numbered series so people come back the way they do for his, and you keep the teaching edge he cannot match.
Evidence
Your top form-check clip finished with more of its audience still watching than Kai's most-viewed post did.
Completion and saves are what turn a one-time view into a follow, and that is the part you already do better than he does.
Kai's biggest posts set his ceiling well above your current reach.
The gap here is volume and audience size, not better coaching, which is the part you can close with steadier cadence.
Your steadiest performers keep pace on engagement even against his higher-view clips.
A consistent lift across several of your posts, rather than a single spike, shows the format travels and is worth doubling down on.