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šŗ Project Completed: TV Channel Availability Audit for a Leading TV Platform in Peru
I'm pleased to share another successfully completed remote project.
The objective was to verify the availability of selected international TV channels on a leading TV platform in Peru while documenting accurate and organized evidence for the client.
What I delivered:
ā Verified channel availability.
ā Recorded the platform startup screen.
ā Captured the complete channel lineup.
ā Produced short video evidence of requested channels.
ā Completed a detailed TV Monitoring Log.
ā Renamed and organized every file according to the client's specifications.
Projects like this require attention to detail, consistency, and the ability to follow strict documentation standards. Every deliverable was submitted on time with organized, high-quality evidence.
Project successfully completed and approved.
#QualityAssurance #QATesting #TVAudit #RemoteWork #DataValidation #Documentation #VirtualAssistant
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865K VIEWS. Almost 1 million in 90 days. š
3.6K likes 631 saves 55 inbound leads
NO ADS. NO BUDGET.
Just one channel that I turned into a stable source of clients.
But I intentionally blurred the most important numbers in the screenshot: the number of sold projects and the revenue generated through the platform.
Because everything else is the path to the result. Views are attention. Likes and saves are interest. Leads are demand. Contracts and revenue are proof that the channel actually works as a business tool. For me, Dribbble has not been just a portfolio for a long time.
IT IS AN ACQUISITION CHANNEL.
1 of 10+ channels that consistently bring me clients.
And the most valuable part is not the reach itself. It is the ability to build the same system again and again:
across different platforms, for different audiences, and during different market periods.
Clear positioning. The right presentation. Relevance. Trust. A clear value proposition. The ability to convert attention into action.
And, of course, the ability to define the right ICP and build a strong USP.
THE SAME LOGIC APPLIES TO A STRONG MOBILE PRODUCT.
I do not look at an app as a collection of beautiful screens. I look at it as a business mechanism. Within the first few seconds, the user should understand:
š What is this product? šÆ Who is it for? š” What problem does it solve? ā” What value does it provide? š Why should the user come back?
Beautiful design can stop the scroll. Strong UI can prevent the user from closing the app after three seconds.
But product logic determines whether that attention turns into: activation, retention, and revenue.
My ability to build lead generation for my own business is not a random side effect of being a designer.
It is proof that I understand not only how a product should look, but also how it should be perceived, chosen, and monetized.
This is the same competence we bring into our clientsā mobile products.
WE DO NOT CREATE JUST BEAUTIFUL APPS.
We create products that are: noticed, understood, trusted, and chosen. Looking for a team that thinks beyond screens - and focuses on positioning, conversion, and revenue?
Message me. š¬
š©š¼āš»P.S. Designers, what do your Dribbble numbers look like? Has anyone here already crossed 1 million views in 90 days? Share your numbers - I am genuinely curious. š
You're just awesome! Thanks for the helpful info! Do you reach out to clients on Dribbble yourself? Or do clients find you on their own? Thanks for your replyāI've just started reviving my account and can't figure out the best way to promote it.
Amazing!
Designed and built a full data pipeline ā pulling from multiple sources, resolving inconsistencies, enriching with external variables, and delivering clean outputs through interactive Power BI dashboards stakeholders can actually act on.
Designed and built a full data pipeline ā pulling from multiple sources, resolving inconsistencies, enriching with external variables, and delivering clean outputs through interactive Power BI dashboards stakeholders can actually act on.
The starting point was a large, structurally complex dataset with inconsistent formats, missing values, and misaligned fields. The goal was a repeatable pipeline that transformed it into something reliable enough to drive real decisions.
The enrichment layer was the differentiator: layering in demographic and contextual variables from external sources to add depth that the raw data alone couldn't provide. The final output was a Power BI dashboard built for non-technical audiences ā clear enough to act on, rigorous enough to hold up to scrutiny.
AI-assisted validation (Claude Enterprise) was used throughout to cross-check outputs and flag inconsistencies before delivery
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