Public Relations | Content Creation
Social Media Content
+45,850% increase in shares on TikTok
+8,400% increase in interactions on Instagram
+87.3% unique monthly visitors on LinkedIn
From content creation to content calendar management,
it's giving consistent, engaging & aesthetic.
The content that got the results:
@unfurledinteriors
I organically increased this local interior designer's Instagram following by 100 relevant followers by posting only 1x
a week -- 4 of these new followers turned into high-paying clients.
@rediem_co
I crafted and curated this start-up's Instagram "landing page." Rather than post consistently, this strategy created an informative and intriguing grid that drove lead gen.
@thecompassmethod (not yet live)
I creatively designed these Instagram carousel images on Canva and wrote the copy for the captions based on this life coaches' course material, solving the Instagram version of writer's block
UGC & Voiceover Samples
These videos highlight the range of content I can make for your brand, taking "wears multiple hats" to the next level.
Osea sample Reel
rediem product voiceover
Sabrina Carpenter viral TikTok
1920 micro influencing
Blog Writing
rediem newsletter
Three out of five of the 100 billion garments produced each year will end up in a landfill (Clean Clothes Campaign, 2019). On top of dropping new clothing lines, the fashion industry is notorious for dropping distressing stats about its negative impact on the environment, so much so, that it can be hard to justify purchasing anything new.
Perhaps that’s why the secondhand apparel market is growing 3X faster than the overall global apparel market (according to Thredup). But it’s deeper than that.
Let’s unravel this pre-loved trend. Read more.
kea AI company blog
The fundamental functions required of kea’s Voice AI are 1) hearing what the guest says 2) understanding what the guest says and 3) speaking back to the guest. For a Voice AI to hear, we need Automated Speech Recognition or ASR, for it to understand, we need Natural Language Understanding or NLU, and for it to speak we need text-to-speech or TTS.
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However, given that our Voice AI specifically serves fast casual and quick service restaurants, we couldn’t use just any ASR, NLU, or TTS model. We needed to develop unique models that could handle the complexity of our dataset – menus. Restaurants have hundreds of menu items and potential combinations, most of which have names and pronunciations that don’t exist anywhere else in the world, except for in that restaurant chain – and no restaurant brand is exactly alike.