Freelancers in Nova Gorica

Freelancers in Nova GoricaFreelancers in Nova Gorica

Projects People

Cinzia Nicoletti

33100 Udine, Italy

React Native & Custom Sites with Passion 💫 12+ yrs exp

$1k+: Earned

1x: Hired

5.0: Rating

7: Followers

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React Native & Custom Sites with Passion 💫 12+ yrs exp

Cover image for Cinzia Nicoletti - Senior Full Stack Developer

Cinzia Nicoletti - Senior Full Stack Developer

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308

Cover image for Base App - React Native

Base App - React Native

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61

Cover image for Menù Fisso - React Native application

Menù Fisso - React Native application

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120

Cover image for Storivox – Alexa app, React

Storivox – Alexa app, React

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80

Oksana Hranovska

Nova Gorica, Slovenia

Lifecycle Marketing Consultant |Customer Retention

New to Contra

Lifecycle Marketing Consultant |Customer Retention

Cover image for Lifecycle Anatomy is my independent

Lifecycle Anatomy is my independent publication exploring customer journeys, retention systems, behavioral signals and CRM strategy. I turn recurring lifecycle challenges into practical frameworks that help marketing teams build more coordinated and customer-centered communication systems. Read the publication: https://oksanahranovska.substack.com/

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Cover image for Signals Over Metrics: Measuring Lifecycle

Signals Over Metrics: Measuring Lifecycle Marketing Performance Short description An expert article exploring how behavioral signals can provide a clearer understanding of lifecycle marketing performance beyond traditional email metrics. Project overview Lifecycle marketing performance is often evaluated through isolated metrics such as open rates, click rates, and campaign revenue. While useful, these numbers do not always explain whether customers are progressing through their journey, building engagement, or showing early signs of disengagement. In this article, I explore a more strategic approach to lifecycle measurement that focuses on customer behavior, progression signals, and the broader relationship between marketing activity and customer experience. The article reflects my work in lifecycle strategy, retention, customer journey analysis, and behavioral segmentation

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Cover image for Scaling Email Revenue Through Lifecycle

Scaling Email Revenue Through Lifecycle Marketing for Ayana Crystals Short description Developed a coordinated Klaviyo lifecycle marketing system that increased total email revenue by 133.75% and automated flow revenue by 78.38%. Project overview Ayana Crystals is an eCommerce brand offering crystals, jewelry, and spiritual products. The company needed a more structured approach to email marketing that could convert new subscribers, recover abandoned purchases, engage different audience segments, and increase revenue from automated customer journeys. I developed the lifecycle marketing strategy, planned and optimized automated flows, created campaign concepts and copy, and connected different subscriber acquisition paths with relevant customer journeys in Klaviyo. The challenge The brand had several opportunities to acquire subscribers through its store, blog, and crystal quiz, but these entry points needed coordinated follow-up experiences. The main objectives were to: - Turn new subscribers into first-time customers. - Create separate journeys based on subscription source and customer intent. - Recover abandoned purchases. - Re-engage inactive customers. - Increase revenue from automated email flows. - Maintain a consistent brand voice across campaigns and automations. My role - Lifecycle Marketing Strategist & Email Marketing Consultant I was responsible for: - Lifecycle and email marketing strategy. - Customer journey planning. - Automated flow architecture. - Segmentation and targeting. - Campaign concepts and planning. - Email copy and content structure. - Performance analysis and optimization. - A separate designer created the final email visuals based on my strategy, copy, and content direction. What I delivered - Main Welcome Flow for new subscribers. - Abandoned Checkout Flow. - Reactivation Flow for inactive customers. - Dedicated Welcome Flow for crystal quiz participants. - Dedicated Welcome Flow for blog subscribers. - Website discount signup form. - Blog subscription form. - Promotional and educational email campaigns. - Audience segmentation and personalized messaging. - Ongoing analysis and optimization of Klaviyo performance. Strategic approach Instead of sending every subscriber through the same generic welcome sequence, I created journeys based on how and why each person entered the database. Quiz participants received communication connected to their expressed interests, while blog subscribers entered a more educational journey. Store subscribers received a conversion-focused welcome experience, and inactive customers were moved into a dedicated reactivation flow. This created a more relevant customer experience across acquisition, conversion, and re-engagement stages. Results - 133.75% increase in total email revenue. - 78.38% increase in automated flow revenue. - 101.41% increase in the placed order rate generated by automated flows.

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Cover image for Building a Klaviyo Email Acquisition

Building a Klaviyo Email Acquisition & Conversion System from Scratch Short description Built an email acquisition and automation system for an eCommerce brand, generating 608 subscribers and achieving a 12.8% welcome email placed order rate. Project overview Aloe Detox needed a structured email marketing system to capture website visitors, welcome new subscribers, recover abandoned shopping journeys, and generate sales through targeted campaigns. Before the project, the brand had no established subscriber acquisition process, welcome automation, abandoned cart sequence, or coordinated promotional email strategy. I developed and implemented a connected email marketing foundation using Klaviyo and WooCommerce, combining subscriber acquisition, automated customer journeys, and campaign communications. What I delivered - Designed a website popup to convert visitors into email subscribers. - Created a two-email welcome sequence introducing the brand and encouraging first purchases. - Developed a two-email abandoned cart sequence. - Planned promotional campaigns for existing customers and subscribers. - Created educational and promotional email communications. - Established a connected workflow between website acquisition, email automation, and customer conversion. Project results - 6.52% popup submission rate. - 117 orders attributed to the popup. - 38.6% open rate for the first welcome email. - 17.6% click rate for the first welcome email. - 12.8% placed order rate for the first welcome email.

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Ruslan Perezhilo

🎹 Music Composer, Pianist, Audio Specialist

🎹 Music Composer, Pianist, Audio Specialist

Cover image for STRINGS PRODUCTION: Introduction Video

STRINGS PRODUCTION: Introduction Video

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8

Cover image for PIANO PRODUCTION: Case Study Examples

PIANO PRODUCTION: Case Study Examples

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7

Cover image for Music for Animation (demo reel and full short films)

Music for Animation (demo reel and full short films)

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5

Cover image for Video Demo Reel: Music for Media

Video Demo Reel: Music for Media

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6

Saving your brand from extinction

Saving your brand from extinction

Cover image for Acqua del Mediterraneo

Acqua del Mediterraneo

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19

Cover image for Meta Exchange

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27

Cover image for Nerodiseppia [Concept]

Nerodiseppia [Concept]

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23

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Senior Web Front End Engineer

Senior Web Front End Engineer

Cover image for Little news about my JOEF.

Little news about my JOEF. Yesterday I was taking some time to code (with the help of AI) a Bot that: 1. Gets the job posting records which "status" cell is blank from my job offers spreadsheet. 2. Gets each job posting web page content and parse it to a structured data. 3. Queries a custom llama3.2 model locally via Ollama to evaluate if the job opportunity is a match or not. It is notable how LinkedIn sends me offers in Spanish, Polish, German, etc. All languages not even mentioned in my profile. To filter out these ridiculous situations is one of the reasons I begun JOEF project. The "NO", "YES" and "MAYBE" in the sheet are from this new Bot. Playwright might not be necessary. Gemini suggested to use it, convinced that it was the only way to circumvent LinkedIn anti-bot gates. As usual, Gemini (just as like Copilot and the others) made me waste a lot of time, because of this assumption. The cause was much simpler than that. Somehow, when JOEF main app stores a job posting link in the sheet, the cell actual value is different from the display value (i.e. formatted value). And, in the case of LinkedIn, the actual value is for authenticated agents. The public link, suitable for non-authenticated agents, is the formatted value. I guess that JOEF fills the cell with the actual value. The display value is then generated by Google Sheet automatically via link analysis. ... Which is an issue that will need further investigation.

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Cover image for There is much arguing everywhere

There is much arguing everywhere about jobs. JOEF (Job Opportunity Email Filter) is a Google Apps Script that I am developing in order to filter the deluge of job alert emails originating from various job boards (like LinkedIn or Indeed). Most of the job positions that these services claim to be a fit with your expertise and your preferences are, in fact, false positives. Such services ignore, possibly on purpose, many of your preferences (one among others, the work location type: "remote", "hybrid" or "on-site") and fail to match the job position accurately with your experience profile. JOEF fills that gap. Coded in pure JavaScript, linted with ESLint, formatted with Prettier, bundled with esbuild, and with only one runtime dependency: linkedom, a lightweight DOM API for email body parsing. Since I deployed it in November, it filtered thousands of job postings, and discarded more than 3/4 of them that didn't match my expertise or my preferences. - It can be fine-tuned through a number of user preferences, included various blacklists and whitelists for companies, professional titles, languages, skills, locations, etc... - It has a basic plugin system that permits to add parsers for any possible job board mailing list. - It uses Google Maps service to normalize locations. It can detect the job posting language and discard it if it doesn't match your known languages. Soon I will add a partner script to periodically scrape the job posting pages and collect further information in order to perform a second filtering step with the full job description and data (often, more strict residency requirements or language skills are not visible in the email excerpt). And I plan to add support for analyzing the job posting using AI, even local models, running on Ollama. JOEF has been coded by me, often with the assistance of AI models. If anyone is interested in my coding abilities, feel free to contact me.

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Cover image for Camera Hierarchy - Blender Add-on

Camera Hierarchy - Blender Add-on

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Cover image for Second Life Skeleton Loader for Blender

Second Life Skeleton Loader for Blender

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33100 Udine, Italy

Multidisciplinary Graphic Designer

Multidisciplinary Graphic Designer

Cover image for JOV

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42

Cover image for NDA NABA Design Award 20-21

NDA NABA Design Award 20-21

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18

Cover image for OUTPUMP Issue 0-3

OUTPUMP Issue 0-3

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8

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Alessandro Falcone

34170 Gorizia, Italy

Web Solutions: From Vision to Reality 🌐

Web Solutions: From Vision to Reality 🌐

Cover image for ImmobilAutoManager

ImmobilAutoManager

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4

Cover image for Immobiliare-FVG

Immobiliare-FVG

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6

Cover image for Auto-FVG

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5

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Performance Engineer | Go/C++ Systems Specialist

Performance Engineer | Go/C++ Systems Specialist

Cover image for cpp-redis-clone: Redis-Inspired Key-Value Store

cpp-redis-clone: Redis-Inspired Key-Value Store

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13

Cover image for GitHub - husseinhafez1/task-scheduler

GitHub - husseinhafez1/task-scheduler

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Cover image for GitHub - husseinhafez1/crdt-collaborative-editor

GitHub - husseinhafez1/crdt-collaborative-editor

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5

Cover image for Fraud Detection on Credit Card Transactions

Fraud Detection on Credit Card Transactions

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10