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MYKEY ISO | Candy Coated Dreams Pt. 2 | Campaign Results

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I wanted to share a Introductory Stage campaign I recently completed for a client.
Full song link for you to review at your leisure: open.spotify.com/track/7b86DeAdTEH8y0H4hTNbo3...
Notes:
SECTION 1.)
1.) discovered an audience that resonates well with the song on Spotify
KPI's:
a.) video engagement rate from visual ad placements [I also edited his existing assets that I broke down into 8-10 different 15 second visual teasers and segments with calls to actions]
b.) video engagement watch-time percentages yielding 2300 | 100% percent viewers which allowed for me to create a custom and look a like audience, though worth mentioning marketing to cold traffic out performed the look a like and custom audience campaigns
c.) conducted qualitative and quantitative analysis through demographics, psychographics, and special interest behaviors
SECTION 2.)
2.) Edited 2 video assets and conducted A/B split testing in search for
a.) which video between the 2 was most effective using same audiences broken into 10 different controlled groups
b.) examined long form and short form ad copy broken down again into 10 different controlled groups
c.) examined different placements within Facebook Ads Business Manager
SECTION3.)
3. Achieved a .06-.14 cost per conversion
a.) video engagement was a metric again here
b.) ad copy
c.) placements
d.) targeting and geotargeting
I can also go into more detail through analysis and mixed methods if anyone else may have further questions.
Summary: Client achieved 65% save rate which is considered above average to current industry standards and benchmarks, followers on instagram and Facebook went up (not a KPI or metric I would consider as important but definitely worth mentioning.)
Followers on Spotify also went up. I only focused on user playlists that regular people like you and I. If the song vibes with us then we would add it to our own playlist rather than focusing entirely on editorial.
Algorithmic came in for sure, but the overall campaign achieved 74% more results than the 11-12% from algorithmic.

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