Where it appears“23+ million videos are uploaded to TikTok every day”
CURRENT DRAFT
23+ million videos every day.
ANSWER
Reacher cannot verify this platform-wide volume from its own data, and public estimates vary. The safest copy is “millions of videos are uploaded to TikTok every day” unless Flywheel adds a named third-party source.
RECOMMENDED WHITEPAPER COPY
Since TikTok Shop launched in 2023, video volume has remained critical. With millions of videos uploaded to TikTok every day, brands need a consistent stream of shoppable content to break through.
Opening · checkpoint 02
Is the 86% zero-sales claim supported?
Verified
Where it appears“86% of affiliates generate zero sales”
CURRENT DRAFT
86% of affiliates generate zero sales.
ANSWER
Yes, when scoped to Reacher’s full creator-profile snapshot: 85.86% had no GMV or other positive sales signal, while 14.14% had a positive sales signal.
Creator-profile sales signal
85.86% no positive signal14.14% positive signal
RECOMMENDED WHITEPAPER COPY
In Reacher’s creator-profile snapshot, 86% of affiliates had no recorded sales signal, while 14% generated sales.
Opening · checkpoint 03
How many brands reach $100K in 90 days, and what best predicts it?
Verified
Where it appears“Only 14% of brands reach $100K GMV in their first 90 days”
CURRENT DRAFT
Only 14% reach $100K; video volume is the strongest predictor.
ANSWER
360 of 2,598 shops with a complete 90-day observation window reached $100K: 13.86%. First-30-day video volume had the strongest measured relationship with 90-day GMV (r=0.623), ahead of promoting-creator-days (r=0.581) and samples (r=0.453).
First-30-day signal vs. 90-day GMV
Videosr = 0.623
Creator-daysr = 0.581
Samplesr = 0.453
360 / 2,598reached $100K
13.86%hit rate
RECOMMENDED WHITEPAPER COPY
Only 14% of Reacher-observed shops reached $100K in GMV within their first 90 recorded days. Early video volume had the strongest measured relationship with 90-day GMV.
Opening · checkpoint 04
How many creators and videos does a typical $100K shop use?
The coherent $100K cohort contains 360 shops. At the milestone, the cohort medians were 519 distinct video-attributed creators, 1,238 videos and a 2.09 shop-level videos-per-creator ratio; the averages were 802, 1,779 and 2.48. Each median is calculated independently across shops. The 254 / 1,434 / 5.6 row combines figures from different milestone rows and should be removed.
Cohort summary at the $100K milestone · 360 shops
MeasureMedian across shopsAverage across shopsDistinct video-attributed creators519802Videos1,2381,779Shop-level videos per creator2.092.48
Each median is calculated independently across the cohort; these values do not describe one representative shop.
Remove the synthetic 254 / 1,434 / 5.6 row; it combines figures from different milestone rows.
RECOMMENDED WHITEPAPER COPY
Among shops that reached $100K within 90 days, the cohort medians at the milestone were 519 distinct video-attributed creators, 1,238 videos and a 2.09 shop-level videos-per-creator ratio.
Foundation before scale · checkpoint 05
How many videos does a mature shipped sample produce—and how do Flywheel brands compare?
Verified
Where it appears[Reacher data about videos per sample sent]
CURRENT DRAFT
Placeholder requesting videos-per-sample data.
ANSWER
Among current active U.S. shops, Flywheel brands produced 0.672 videos per mature shipped sample versus 0.626 for other non-internal brands: +7.3%. The main difference was sample activation: 51.84% of Flywheel shipments produced at least one video versus 46.57% for others (+5.28 percentage points). The 2+ and 3+ video rates were only modestly higher (8.52% vs. 8.01% and 3.21% vs. 3.05%).
FLYWHEEL-ONLY FOLLOW-UPFlywheel's pooled lift comes mainly from sample activationMore shipments produce at least one video; the extra repeat-output lift is comparatively small.
Flywheel vs. other active U.S. brands
Flywheel U.S.
0.672videos / shipped sample
51.84%produced at least one video
Other active U.S. brands
0.626videos / shipped sample
46.57%produced at least one video
Measure
Flywheel U.S.
Other active U.S.
Difference
Videos per shipped sample
0.672
0.626
+7.3%
Any-video rate
51.84%
46.57%
+5.28 pp
2+ video rate
8.52%
8.01%
+0.51 pp
3+ video rate
3.21%
3.05%
+0.16 pp
Videos per productive sample
1.296
1.344
-3.6%
Median shop videos / sample
0.655
0.710
-7.7%
90,464 shipments across 21 Flywheel shops versus 1,198,015 across 425 other active U.S. shops. Mature approvals: 2026-02-17 through 2026-07-01.
RECOMMENDED WHITEPAPER COPY
Across current active U.S. shops, Flywheel brands generated 0.67 videos per mature shipped sample compared with 0.63 for other brands. The difference came mainly from more samples generating at least one post (51.8% vs. 46.6%); repeat-output rates were only modestly higher.
Foundation before scale · checkpoint 06
Do more videos per sample correlate with more GMV?
Directional
Where it appearsComment asking for videos per sample back to GMV
CURRENT DRAFT
The draft says more videos per sample translate into more GMV.
ANSWER
The simple shop-level correlation was essentially zero (r=-0.003), so there is no clean linear rule. However, the top 10% of shops by videos-per-sample recorded 1.57 videos and $193 GMV per sample, versus 0.76 videos and $63 for the other 90%.
Top-efficiency shops vs. the rest
Top 10%
1.57videos / sample
$193GMV / sample
Other 90%
0.76videos / sample
$63GMV / sample
The cross-shop linear correlation is essentially zero (r = -0.003), so this is a top-cohort comparison—not a universal rule.
RECOMMENDED WHITEPAPER COPY
Higher sample efficiency is associated with stronger economics at the top end: the most efficient 10% of shops recorded 1.57 videos and $193 GMV per sample, versus 0.76 videos and $63 for the rest.
The new playbook · checkpoint 07
What is the GMV sliding scale for repeat creator-brand relationships?
Verified
Where it appears“Over 41x higher GMV” and Amy’s sliding-scale comment
CURRENT DRAFT
Repeat relationships generate over 41x more lifetime GMV than one-time relationships.
ANSWER
The refreshed five-band curve is nonlinear. GMV per video is $7.19 at one, $9.71 at two, $14.16 at three-to-five, $25.52 at six-to-nineteen, and $74.07 at twenty-plus videos. Lifetime GMV per creator-brand relationship across the same bands is $7.19, $19.41, $52.19, $245.95, $4,311.08.
RECOMMENDED MAIN VISUALLead with GMV per videoIt is easier to relate to content output and reduces the mechanical effect of more videos per relationship.
Lifetime GMV / relationship log bars
1$7.19
2$19.41
3–5$52.19
6–19$245.95
20+$4,311.08
GMV / video linear bars
1$7.19
2$9.71
3–5$14.16
6–19$25.52
20+$74.07
Average videos in each band: 1.00 · 2.00 · 3.69 · 9.64 · 58.20
The requested labels overlapped at 20, so the chart uses mutually exclusive 6–19 and 20+ bands. The 20+ group averages 58.2 videos and reaches 6,921; it is not a 20-video threshold.
RECOMMENDED WHITEPAPER COPY
GMV per video rose from $7.19 for one-video relationships to $9.71 at two, $14.16 at three-to-five, $25.52 at six-to-nineteen and $74.07 at twenty-plus. The pattern shows an association between deeper creator relationships and stronger per-video performance; it does not prove that more posts caused the increase.
The new playbook · checkpoint 08
Does GMV per video improve as the same creator keeps posting for a brand?
Directional
Where it appearsThe explanation of why repeat partnerships work
CURRENT DRAFT
The draft says creators learn and convert better by the second or third collaboration.
ANSWER
Average GMV per video rose from $23.51 on the first post to $26.02 on the second, $30.61 on the third, $36.53 on the fifth and $47.31 on the tenth. The share of videos with positive GMV also increased from 6.49% to 8.50%.
The positive-GMV video rate also rises from 6.49% to 8.50%; later positions are survivor-selected.
RECOMMENDED WHITEPAPER COPY
Among creator-brand pairs that continued posting, later videos generated progressively more GMV on average: $23.51 on post one, rising to $47.31 by post ten.
Step 1: Select affiliates · checkpoint 09
Are 10K–100K creators more efficient than 500K+ creators?
Verified
Where it appears“Micro-creators are 22x more efficient”
CURRENT DRAFT
Micro-creators are 22x more efficient on a per-follower basis.
ANSWER
Yes. Creators with 10K–100K followers generated $24.57 GMV per 1,000 followers, versus $1.15 for creators with 500K+ followers: 21.39x. Larger creators still generated more absolute GMV per creator on average.
GMV per 1,000 followers
<10K$29.51
10K–100K$24.57
100K–500K$6.82
500K+$1.15
21.39×10K–100K efficiency versus 500K+
RECOMMENDED WHITEPAPER COPY
On a per-follower basis, creators with 10K–100K followers generated 21x more GMV than creators with 500K+ followers.
Step 1: Select affiliates · checkpoint 10
Is the “nearly half of budgets” statement sourced?
External source
Where it appears“Micro- and nano-influencers will claim nearly half of influencer marketing budgets”
CURRENT DRAFT
Micro- and nano-influencers will claim nearly half of influencer marketing budgets in 2026.
ANSWER
Yes as an external U.S. forecast. EMARKETER projects that micro- and nano-influencers will receive 45.5% of U.S. influencer marketing spending in 2026. EMARKETER’s follower-tier definitions are not identical to the Reacher 10K–100K band.
Projected 2026 U.S. influencer spend
45.5%
micro + nano creators
External EMARKETER forecast; follower bands differ from Reacher.
RECOMMENDED WHITEPAPER COPY
Micro- and nano-influencers are projected to claim 45.5% of U.S. influencer marketing spending in 2026.
Step 1: Select affiliates · checkpoint 11
How concentrated is creator GMV?
Verified
Where it appears“The affiliate ecosystem is highly skewed” / “some creators drive 10x more sales”
CURRENT DRAFT
Creator quality is massively skewed; some creators drive 10x more sales.
ANSWER
No. Reuse the same five-band GMV-per-video curve from checkpoint 7 instead of publishing a second binary number built from a different snapshot.
Recorded creator GMV concentration
Top 1%: 90.29%Other 99%: 9.71%
RECOMMENDED WHITEPAPER COPY
Deepening creator relationships is associated with progressively higher GMV per video. [Reuse the five-band GMV-per-video chart.]
Step 2: Repeat revenue drivers · checkpoint 12
Should the whitepaper repeat the binary 41x claim?
Replace
Where it appearsThe repeated $362.03 versus $8.75 / 41x statement
CURRENT DRAFT
$362.03 lifetime GMV for repeats versus $8.75 for one-time; over 41x.
ANSWER
It is a strategic target, not the current benchmark. Across current active non-internal U.S. shops, only 3.06% of mature shipped samples produced three or more videos; the pooled average was 0.629 across all shipments and 1.340 among productive shipments.
One evidence curve, used twice
Reuse the five-band GMV-per-video chart from checkpoint 7. Do not add a second binary snapshot with different values.
The current benchmark is 0.63 videos per mature shipped sample, while only 3.1% produce three or more. Three-to-five videos should be presented as the operating target, not as typical current output.
Step 2: Repeat revenue drivers · checkpoint 13
Is three-to-five videos per sample a benchmark or a target?
Target, not benchmark
Where it appears“The goal is to generate 3–5 shoppable videos from each sample”
CURRENT DRAFT
The goal is 3–5 shoppable videos from each sample.
ANSWER
It is a strategic target, not the current network benchmark. Only 4.05% of mature shipped samples produced three or more videos; the observed average was 0.70 across all shipments and 1.50 among productive shipments.
Current output versus strategic target
0.63current active U.S. benchmark
→
3–5strategic goal
3.06%currently produce 3+ videos
RECOMMENDED WHITEPAPER COPY
The strategic goal is to move productive creator relationships toward three-to-five videos per sample—even though only 4% of current mature shipments reach three or more videos.
Step 2: Repeat revenue drivers · checkpoint 14
Can the draft use 2% and 6% conversion examples?
Replace
Where it appears“One angle might get 2% conversion; another might get 6%” and “conversion improves”
CURRENT DRAFT
One creative angle might get 2% conversion and another 6%; repeat creators improve conversion.
ANSWER
Those exact conversion examples are illustrative, not measured here. Reacher’s current U.S. video data supports two different measures: 8.66% of video records generated at least one sale, while units per view were 0.051% (0.511 units per 1,000 views).
Two different measures—do not combine them
8.66%videos with at least one sale
0.051%units per view
Remove the unsourced “2% versus 6% conversion” example.
RECOMMENDED WHITEPAPER COPY
Different creative angles can produce materially different outcomes, so repeated posting creates more opportunities to learn what resonates. Remove the unsourced 2% and 6% examples.
Case study · checkpoint 15
What can the case study say using one coherent two-month window?
Verified
Where it appearsThe personal-care brand results
CURRENT DRAFT
$200K+ in two months; 36K videos in three months; ~4 videos/creator; 9% video conversion.
ANSWER
For April–May 2026, the same two-month creator-video window recorded $223,371 in video-attributed GMV, 26,549 videos and 8,112 creators: 3.27 videos per creator. 5.53% of video records generated at least one sale. The 9% conversion claim is not supported by the available definition.
Personal-care case · April–May 2026
$223Kvideo-attributed GMV
26.5Kvideos
8.1Kcreators
3.27videos / creator
5.53% of video records generated a sale. This is not view-to-sale conversion.
RECOMMENDED WHITEPAPER COPY
A personal-care brand generated $223K in video-attributed GMV in two months, supported by 26.5K videos from 8.1K creators—3.27 videos per creator.
Conclusion · checkpoint 16
How should the market forecast be worded?
External source
Where it appearsThe $20B / $30B / 25% market forecast
CURRENT DRAFT
$20B+ GMV in 2026, $30B in 2028, 25% of social commerce sales.
ANSWER
The public forecast is for U.S. TikTok Shop sales, not global platform GMV: more than $20B in 2026 and $30B in 2028. The “nearly one-quarter” share is projected for U.S. social commerce in 2027, not 2026.
U.S. TikTok Shop sales forecast
2026$20B+2027~25%of U.S. social commerce2028$30B+
RECOMMENDED WHITEPAPER COPY
U.S. TikTok Shop sales are forecast to exceed $20B in 2026 and $30B in 2028; by 2027, the platform is expected to account for nearly one-quarter of U.S. social commerce sales.
MEETING ADDENDUM
Paid campaigns, retainers & commission strategy
Every paid-incentive question discussed, answered with the strongest available evidence. Measured findings, directional associations and genuine data gaps are kept separate.
11questions answered
3matched performance views
4commission questions needing history
Paid campaigns & commissions · question 01
Do paid campaigns generate more GMV on the same creator set?
Mixed evidence
DIRECT ANSWER
There is no defensible universal X% uplift. The closest before-and-during comparison shows modestly higher GMV during retainers, while matched campaign-type comparisons run in the opposite direction.
WHAT THE DATA SHOWS
For the same brand and creator, 156 covered pairs across 22 shops produced $198,189.60 during the retainer window versus $174,759.11 immediately before: +13.41% GMV and +49.19% videos. A second video-level check across 456 pairs found +10.09% GMV and +105.69% videos. But when the same brand-creator pairs were compared across retainer campaigns and campaigns with no recorded direct payout, retainer GMV per 30 days was 42.51% lower; the same-creator-across-brands comparison was 69.83% lower.
Three matched views—no single universal uplift
Comparison
Coverage
GMV
Videos
Same brand + creator: before → during
156 pairs / 22 shops
+13.41%
+49.19%
Independent video-level before → during
456 pairs
+10.09%
+105.69%
Same brand + creator: retainer vs no-direct-pay proxy
99 pairs / 14 shops
−42.51%
−35.26%
WHAT TO SAY / DO
Say: “Retainer windows were associated with higher output and modest GMV growth versus the immediately preceding period, but the data does not support one guaranteed paid-campaign uplift.”
Paid campaigns & commissions · question 02
Do paid-campaign brands get more videos per sample?
Directional only
DIRECT ANSWER
The answer is inconclusive because two valid summaries disagree. Same-shop averages favor retainers, while the pooled network ratio is slightly lower for retainers.
WHAT THE DATA SHOWS
Across 23 shops that ran both campaign types, the mean shop ratio was 1.1789 posted videos per shipped sample under retainers versus 0.8299 for the no-recorded-direct-payout proxy: +42.05%, with retainers higher in 14 of 23 shops. Pooled across all covered campaigns, retainers recorded 0.7742 videos per sample versus 0.7940: −2.49%.
Posted videos per shipped sample
View
No direct pay recorded
Scheduled retainer
Difference
Mean across 23 matched shops
0.8299
1.1789
+42.05%
Pooled across campaigns
0.7940
0.7742
−2.49%
Matched-shop and pooled views weight programs differently; their disagreement is the result, not an error to average away.
WHAT TO SAY / DO
Do not publish a single Y uplift. The safe conclusion is that some same-shop programs show higher sample productivity under retainers, but the network-wide evidence is mixed.
Paid campaigns & commissions · question 03
Does paid spend work against the efficiency thesis?
Cost-adjusted view
DIRECT ANSWER
Paid spend does not invalidate efficiency, but it changes what efficiency means. The correct measure is incremental output and contribution after the payout—not videos or GMV alone.
WHAT THE DATA SHOWS
The refreshed positive-spend retainer cohort recorded $48,300 in payouts, 3,438 videos and 540 creator participations. That equals $14.05 in recorded payout per video and 6.37 videos per creator participation before adding product, sample, shipping or commission costs. The same cohort recorded $1.69 in gross attributed GMV per payout dollar, but that is not incremental return or profit.
Position retainers as an investment in repeatable content supply. Call the program efficient only when the added value from incremental videos and GMV exceeds retainer, commission, product and fulfillment costs.
Paid campaigns & commissions · question 04
Do we have dollar values for paid campaigns and retainers?
Recorded dollars
DIRECT ANSWER
Yes for actual creator payouts and gross campaign-attributed GMV. No for true incremental ROI, contribution margin or profit.
WHAT THE DATA SHOWS
Across all campaign types, 330 positive creator settlements totaled $112,946.10. Retainer settlements totaled $77,050.10 across 228 payment rows. Within completed, non-Flywheel U.S. retainers with positive recorded spend, 46 campaigns across 22 shops and 10 customers recorded $48,300 in payouts, $81,841.69 in gross attributed GMV, 3,438 videos and 540 creator participations.
Recorded payout evidence
$112.9Kall positive settlements
$77.1Kretainer settlements
$48.3Kcomparable cohort payout
$81.8Kcomparable cohort gross GMV
Comparable cohort: 46 completed, positive-spend, non-Flywheel U.S. retainer campaigns.
WHAT TO SAY / DO
Use $48.3K paid and $81.8K gross attributed GMV as the clean comparable cohort. Label the $1.69 ratio “gross attributed GMV per payout dollar,” never ROAS or profit.
Paid campaigns & commissions · question 05
Can performance be analyzed by retainer or campaign-spend bands?
Descriptive bands
DIRECT ANSWER
Yes, but the existing bands are highly nonlinear and have small sample sizes. They describe the observed programs; they do not reveal a recommended spend threshold.
WHAT THE DATA SHOWS
The $2,500+ band has the strongest content output at 13.27 videos per creator and 3.57 gross attributed GMV dollars per payout dollar, while the $1–$249 band has the highest GMV/payout ratio at 8.84. Middle bands are much weaker. This pattern is consistent with substantial differences in campaign design and creator selection—not a smooth dose-response curve.
Recorded retainer payout bands
Campaign payout band
Campaigns
Recorded payout
Gross GMV / payout $
Videos / creator
$1–$249
10
$1,400
8.84×
3.18
$250–$499
9
$2,800
1.21×
2.44
$500–$999
6
$4,050
0.15×
5.56
$1,000–$2,499
16
$22,900
0.19×
3.61
$2,500+
5
$17,150
3.57×
13.27
The curve is neither smooth nor monotonic. Campaign mix and creator selection dominate these small cells.
WHAT TO SAY / DO
Show the full band table only as a descriptive appendix. Do not infer that $249 or $2,500 is a causal sweet spot.
Paid campaigns & commissions · question 06
What share of affiliates receive retainers, and how does that affect videos per creator?
Observed association
DIRECT ANSWER
Retainers reach a tiny share of the full affiliate roster but a meaningful share of active campaign participants. Selected retainer creators publish substantially more videos, although selection explains at least part of the gap.
WHAT THE DATA SHOWS
In 54 retainer shops with roster coverage, 382 matched retainer affiliates represented 0.0609% of 627,742 roster affiliates; incomplete identity matching puts the reasonable range near 0.06%–0.08%. Among affiliates active in overlapping campaigns, 520 of 2,060—or 25.24%—participated in retainers. Campaign participants averaged 5.03 videos under retainers versus 1.59 for non-retainers; in 29 same-shop comparisons, the means were 7.12 versus 4.05, with retainers higher in 20 shops.
Two correct denominators
0.06%–0.08%of the full stored affiliate roster
25.24%of active campaign participants
Retainer participants5.03videos / creator
Other participants1.59videos / creator
WHAT TO SAY / DO
Use 25.24% when discussing active campaign participants; use 0.06%–0.08% only when discussing the complete stored roster. For planning, 1,000 creators paid $100 each is a $100,000 retainer budget—but that arithmetic is a scenario, not a measured outcome.
Paid campaigns & commissions · question 07
Where is the breaking point for commission increases versus retainers?
Not yet measurable
DIRECT ANSWER
The current history cannot identify a credible commission-rate breaking point. The spend-band results are not monotonic, and commission changes are not stored as dated creator-level events.
WHAT THE DATA SHOWS
A 15% to 20% commission increase adds five cents of cost for every future dollar of eligible creator-attributed GMV. A flat retainer adds a fixed cost regardless of realized sales. The decision point should therefore compare the expected incremental contribution from each tactic—not the headline rate alone. The necessary causal inputs are not present today.
Flat retaineradded cost = fixed payout, whether or not sales occur
Choose onexpected incremental contribution after all variable and fixed costs
WHAT TO SAY / DO
Use a decision rule, not a fabricated threshold: choose the option with the stronger expected incremental contribution after payout, commission, samples, product cost and fulfillment.
Paid campaigns & commissions · question 08
Does raising commission from 15% to 20% produce more videos?
Data unavailable
DIRECT ANSWER
Not answerable from the current structured history. We cannot tell which commission rate was active for a creator when each video was posted.
WHAT THE DATA SHOWS
A fresh schema check found 33,764 older action rows with timestamps and commission values, including 1,650 creator-shop histories with more than one observed rate. However, 98.63% of those commission-bearing rows are content-pending reminder actions, not explicit old-rate/new-rate events with effective dates. The history ends in October 2024 and cannot establish which rate applied to each later video. Comparing 15% and 20% rows would therefore mix reminder timing, creator selection and product context.
What must be tracked
Creator + brand→Old / new rate→Effective dates→Videos + GMV→Matched control
Fresh check: older records contain dated commission observations, but 98.63% are reminder actions rather than explicit rate-change events.
WHAT TO SAY / DO
Do not publish a 15%-versus-20% content-uplift claim until commission-rate effective dates can be joined to creator-brand posting windows.
Paid campaigns & commissions · question 09
Can we chart videos per creator by commission band?
Do not publish yet
DIRECT ANSWER
A cross-sectional chart could be produced from current snapshots, but it would not be a reliable historical performance chart and could be materially misleading.
WHAT THE DATA SHOWS
The available current commission snapshot can be grouped into bands, and the older action log contains many 10%, 15%, 20%, 25% and 30% observations. But neither source supplies a defensible rate-active window for each video. A chart would assign historical output to rates that may only have been observed during a reminder action, creating time leakage.
What must be tracked
Creator + brand→Old / new rate→Effective dates→Videos + GMV→Matched control
Fresh check: older records contain dated commission observations, but 98.63% are reminder actions rather than explicit rate-change events.
WHAT TO SAY / DO
Wait for longitudinal commission tracking. When available, show within-brand changes and creator fixed effects alongside simple bands.
Paid campaigns & commissions · question 10
For the same brand, does moving a creator up in commission differ from starting them high?
Data unavailable
DIRECT ANSWER
The current records cannot distinguish a retention step-up from a creator who started at a high commission rate.
WHAT THE DATA SHOWS
The older action log contains repeated observed rates, but it does not state that a row changed the rate or when that rate became effective. The required event history would record brand, creator, product or campaign scope, old rate, new rate, effective timestamp and reason for change. With that history, the analysis should compare the same creator before and after the change and use unchanged creator-brand pairs as controls.
What must be tracked
Creator + brand→Old / new rate→Effective dates→Videos + GMV→Matched control
Fresh check: older records contain dated commission observations, but 98.63% are reminder actions rather than explicit rate-change events.
WHAT TO SAY / DO
This is the right next analysis once rate-change events are captured; it is more decision-useful than comparing different brands at different static rates.
Paid campaigns & commissions · question 11
Do flat fees or higher commissions on repeat collaborations improve results?
Split answer
DIRECT ANSWER
Flat-fee retainer evidence is directionally positive for output; higher-commission evidence is not yet measurable. These two incentives should not be combined into one claim.
WHAT THE DATA SHOWS
For flat-fee retainers, the same brand-creator before/during analysis found +49.19% videos and +13.41% GMV, and campaign participants averaged 5.03 videos versus 1.59 for non-retainer participants. However, matched cross-campaign comparisons were weaker under retainers, so causality is not established. For higher commission on repeat work, there is no reliable effective-dated rate-change history to isolate an effect.
Separate the two incentive claims
FLAT-FEE RETAINERDirectional evidence
+49.19% videos and +13.41% GMV in the same-pair before/during view.
HIGHER COMMISSIONNot yet measurable
No reliable effective-dated creator-level commission-change history.
WHAT TO SAY / DO
Say: “Selected retainer creators are associated with higher content output, but Reacher cannot yet quantify the independent effect of a higher commission rate.”