Input Data For each product, the following is provided: name; short description; one or several photographs; ready prompt for generating SEO description; ready prompt for generating an image. What Needs to Be Done1. Generating SEO Description insert the name and description of the product into the ready prompt; transfer the result obtained from AI unchanged; formulate: SEO title; SEO description; keywords; product characteristics.2. Filling in Characteristics Fill in the characteristics according to the information obtained from AI. If certain data is insufficient, clarification using AI is allowed without independently inventing characteristics.3. Generating Image Using the ready prompt, generate a new image of the product, using: name; description; existing photo of the product. The image must meet the requirements specified in the prompt. Important The work is performed exclusively according to the ready prompts. All details of the process are shown in the video instructions attached to this brief. It is necessary to carefully follow the instructions and check the result before submission. Result For each product, it is necessary to provide: ready SEO title; SEO description; keywords; filled characteristics; newly generated image. Additional Information We are considering multiple performers for long-term cooperation. Before starting the main work, it is necessary to complete a test task. After a successful test task, the first stage will be processing 150 products. Please indicate the cost of processing 150 products and the completion time. Expected productivity — at least 25-30 products per day. After the successful completion of the first stage, the next batches of products will be transferred. The total volume of work — about 2000 products.
Proposals are currently absent
Proposals are currently absent
Current freelance projects in the category Data Processing
Need a person with a PC or laptop who can post content on social media, work for a week No experience needed
About the project An artistic ballet company from Berlin. We sell tickets to our own productions. Promotion: Meta, Google Search, email (Brevo), out-of-home, partner portals and influencers. What needs to be done Previously our ad budget was spent without proper attribution — we couldn't see where purchases actually came from. We need a clean measurement system: correctly working pixels (Meta / Google / TikTok) and GA4, cross-domain from our landing page to checkout on the ticketing partner's platform, tagging and distinction of all traffic sources, landing-page behavioral analytics (scroll depth, reaching the tickets block), and consolidation of all channels into one readable panel. We're not looking for a hands-on media buyer. Meta ad management is automated through a separate tool, and we run strategy ourselves. What we need from you is to build the data nervous system that decisions rely on. The first stage is joint funnel design, not executing a ready-made spec. We bring the ticketing specifics, you bring funnel and attribution expertise. Your approach to this stage is how we'll choose the contractor. Stages: (0) design the measurement architecture → (1) audit and repair what's already in place → (2) setup. Deadline — by the sales launch in August. After setup, on-call support only. Audience / who it's for B2C, buyers of tickets to cultural events. E-commerce experience is fine; the event specifics come from our side. How we'll evaluate you 1. Do you understand the task — state in your own words what matters most here. 2. How you'd approach the funnel-design stage. 3. Relevant experience: GA4, GTM, pixels, funnels, attribution, reading Meta metrics, email tracking. 4. Indicative rate / payment model. A detailed brief is attached. We'll finalize exact scope and estimate on a call.
Automation of data processing Execution of calculations according to specified algorithms, Automatic document generation Integration with 1C There are input data in one table that need to be automatically transferred to another, calculations performed according to certain rules, and ready documents generated for further automatic loading into 1C
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