Configure Conversion Tracking in Google Analytics and Google Ads

Setting up and managing Facebook Instagram ads. Geo Ukraine. Everything turnkey, the person must have their own ad accounts for advertising.

There are two identical websites for two cities. Advertising is running in Google Ads. We are looking for a specialist who can take a fresh look at everything, conduct an audit, restructure the campaigns considering the new website, the Ukrainian version, and all the changes that have occurred in Google Ads recently. Additionally, we need someone to manage contextual advertising in Google on an ongoing basis.

We are a custom printing production on clothing and DTF transfers. We use a specialized site on WooCommerce, where the cost of products (for example, custom film transfers) is often calculated per square inch or depends on the volume and does not have a fixed price per unit, but there are also physical products. We need an experienced specialist in GTM/GA4 to fix our tracking architecture and replace the current temporary solutions with full-fledged e-commerce tracking. Current tracking issues that need to be fixed: Broken "Add to Cart": The current setup is a temporary solution (a workaround), where the add_to_cart event triggers during the loading of the view_cart page, rather than upon the actual click of the button. Missing/Incorrect values: E-commerce data is not being sent properly (Data Layer sends false for e-commerce, and the product prices are displayed incorrectly, for example, 0.03 CAD instead of the dynamically calculated price). Bug with quantity in Meta Ads: Meta Pixel misinterprets our custom sizes. If a customer buys one print of 30x30 cm, Meta currently records this as 900 conversions instead of 1 unit of product. Language and Email synchronization: English-speaking users add products to the cart but receive automated abandoned cart emails in French. Lost conversions: Some successful purchases do not trigger the final conversion tags on the site. Scope of work and expected results: Data Layer optimization: Implement (or provide exact code for our developer) a reliable Data Layer that captures the correct dynamically calculated price (value) and actual product quantity (quantity), isolating print sizes into a custom parameter. GA4 e-commerce tracking: Fix the add_to_cart and purchase events to trigger exclusively on user action with accurate e-commerce array data. Google Ads: Fix the "Purchase" conversion tracking to ensure accurate ROAS calculation based on the actual cart value. Meta Ads Pixel and CAPI: Fix the purchase and add_to_cart tags so that Meta tracks 1 physical product as 1 conversion. Set up Meta Conversions API for greater accuracy. Audience creation: Create custom remarketing audiences in GA4 and Google Ads based on specific products and user language (FR and ENG). Fixing Email marketing triggers: Ensure that the active user language parameter (FR/ENG) is correctly passed through GTM to our email marketing platform for proper language flow.

About the product (briefly). A service that searches for jobs on behalf of a person: specify your profession + add a resume — AI collects fresh job vacancies tailored for you (web + Telegram bot). Freemium model: basic search for free, extended access — paid subscription. Audience — people actively looking for jobs in Ukraine.Try it yourself before responding: https://ping-job.com/try?s=src_fl Context. The product is ready and operational: those who start using it tend to stay for a long time, logging in almost daily. There is value and retention. The current focus is on entry — scaling engagement and conveying value to the right audience. Early-stage advertising: we are testing channels and messages, looking for effective connections.What needs to be done in a week: Go through the user journey (web trial + bot) — feel the value and entry pain points. Formulate a target audience hypothesis: who is the most likely payer, segments, pain points, messages for them. Propose an engagement plan: channel(s), formats, 2–3 creative options for testing (all creatives and external settings are handled by the performer). Formulate the user journey with templates for making changes to the product (the client makes edits on the product side). Set up and launch advertising according to the approved algorithm. Daily analytics; at the end — a brief report: what worked, costs at each stage of the funnel, what to scale.Result of the week: a functioning funnel with measurable stages (click → trial → Telegram → payment) + first paying clients (target — up to 10) + clear conclusion: scale, change channel or message.Technical inputs: Payment only in the Telegram bot (web currently without payment) → final conversion always through the bot. Meta niche = special category "Employment": targeting by age is unavailable (18–65), only the creative filters.Conditions: Period: 17.07 – 24.07 (7 days). Advertising budget: $150 (paid separately, from my account). Fee: $250 fixed for the week + $5 bonus for each paying client. Based on results, monthly continuation is possible. Communication: daily brief update.Who I am looking for: performance/digital marketer with real cases of paid traffic (preferably Meta), who works by metrics. I do not micromanage, I provide access and freedom of decisions — I expect independence and honest numbers.In your response: write one thought after trying the product — what would you change at the entry. One sentence, not a strategy.

Good day, I have extensive experience in advertising in this niche, I cannot find a contractor that meets my needs... one of the problems is the constant non-targeted requests.... I will choose a contractor only after an audit and a reasonable price for the setup.