Two anonymized records from Kamo’s strategy and copywriting work through a US-based agency serving investment firms. Historical experience, with the measurement boundaries made visible.
March 2026 portfolio snapshot
Historical portfolio / agency-era context
The agency portfolio Kamo contributed strategy and copywriting to provides the context for this experience. The agency team owned list sourcing, sending infrastructure and operations.
Emails in the agency portfolio
4.6M+
Campaigns in the agency portfolio
200+
Institutional clients in the portfolio summary
21
Tracked opportunities
807+
These are historical agency portfolio figures, not LevRevenue client results or Kamo’s personal sending infrastructure. Source: the March 2026 portfolio summary compiled from campaign analytics screenshots. The portfolio also spans healthcare and events; the institutional-client label follows the supplied summary. Tracked opportunities use the platform’s classification and are not confirmed sales. These totals have not been independently audited and are separate from the two period-specific records below.
Agency-era work · Life sciences fund launch12 months to April 2026
Scientific expertise. A reason to engage.
51reported qualified opportunities
The situation
Introduce a life sciences ETF to institutional buyers.
The campaign decision
Build an educational sequence around the manager’s scientific research and investment approach.
Method implication
Use the step-level record to decide which message deserves closer examination. The attribution does not isolate an email’s causal effect.
Kamo’s role: strategy and copywriting through a US-based agency. Historical reporting period; current campaign status is not asserted. Snapshot: April 17, 2026.
“qualified opportunities” is the source’s classification. Qualification criteria, unique-contact denominators and held-meeting counts were not supplied. These counts do not establish sales or promise results for a new campaign.
Where reported opportunities came from
28 of 51
Attributed to the second email of seven.
Email 1
Email 228 attributed
Email 3
Email 4
Email 5
Email 6
Email 7
Email 2 · 28Other emails · 23
About 55% of reported opportunities. Other emails = 51 minus 28, a derived count. This distribution does not establish that one email caused the result independently of the rest of the campaign.
Sending context
27,742 recorded message sends
12 months to April 2026
Sends include messages across the sequence, not unique prospects. The opportunity total uses the source’s own classification. These are different measures, not stages in a common funnel.
Measurement notes and source figures+
Figures as published in the original campaign record
Measure
Count
Basis
Emails sent
27,742
Recorded total
Opportunities
51
Source label: qualified opportunities; qualification criteria not supplied
Opens
21,988
Derived from the published 79.26% rate
Clicks
1,759
Derived from the published 6.34% rate
Replies
388
Derived from the published 1.4% rate; unique/human status unspecified
Opportunities retain the source’s label; a shared qualification definition, unique-contact denominator and held-meeting count are not available. They should not be read as confirmed sales or compared as standardized outcomes across campaigns.
The July 2025 card covers an earlier six-month period: 25,330 sends, 97% opens and nine opportunities. The headline record covers 12 months to April 2026. Those periods are not combined here.
Opens and clicks are supporting tracking measures and do not establish human attention or inbox placement. Monetary values are omitted because their valuation basis is not available. Weekly traces are omitted because the available weekly figures were approximate reconstructions.
Agency-era work · AI infrastructure fund launchFebruary–July 2025
A debut fund. A distinct focus.
11reported investment opportunities
The situation
Introduce a debut AI infrastructure ETF to financial advisors and institutional investors.
The campaign decision
Organize the campaign around the infrastructure behind AI and the companies supplying it.
Method implication
Make a specialist offer’s place in its category clear. This record is not a controlled test of the positioning.
Kamo’s role: strategy and copywriting through a US-based agency. Historical reporting period; current campaign status is not asserted. Published: July 10, 2025.
“investment opportunities” is the source’s classification. Qualification criteria, unique-contact denominators and held-meeting counts were not supplied. These counts do not establish sales or promise results for a new campaign.
The positioning decision
A specific role in the AI story.
The sequence focused on the infrastructure behind AI, giving a specialist audience a concrete reason to consider the fund.
Audience Advisors & institutional investorsMessage focus The AI infrastructure supply chain
Campaign approach, not a controlled test of positioning effectiveness.
Sending context
10,343 recorded message sends
February–July 2025
Sends include messages across the sequence, not unique prospects. The opportunity total uses the source’s own classification. These are different measures, not stages in a common funnel.
Measurement notes and source figures+
Figures as published in the original campaign record
Measure
Count
Basis
Emails sent
10,343
Recorded total
Opportunities
11
Source label: investment opportunities; qualification criteria not supplied
Opens
7,806
Recorded count
Clicks
300
Recorded count
Replies
Not supplied
No reply rate inferred
Opportunities retain the source’s label; a shared qualification definition, unique-contact denominator and held-meeting count are not available. They should not be read as confirmed sales or compared as standardized outcomes across campaigns.
The source publishes a rounded 75% open rate and 3% click rate alongside 7,806 opens and 300 clicks. We retain the counts without forcing the rounded rates to reconcile exactly.
Opens and clicks are supporting tracking measures and do not establish human attention or inbox placement. Monetary values are omitted because their valuation basis is not available. Weekly traces are omitted because the available weekly figures were approximate reconstructions.
These records describe historical campaigns, not direct LevRevenue client engagements or outcomes from the new Campaign Pilot. They inform the approach; your campaign starts with its own buyer, offer and evidence.
The published figures have been checked against the original LevRevenue case page. Underlying campaign exports have not been independently audited. The charts show the available totals without inventing weekly precision or turning pipeline estimates into revenue.
