Rubayed @Rubayed12
Paid Ads & Conversion Tracking Expert | Turning Clicks into revenue| Meta ads, Google ads| Server side tracking (GTM, GA4, CAPI) fiverr.com/rubayed_rahman Bangladesh,Dhaka,Narsingdi, Joined March 2016-
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Do you remember when you joined X? I do! #MyXAnniversary
The real money comes from phone calls. And if calls aren’t tracked… → Google Ads learns from the wrong data → High-value keywords get ignored → Budget goes to low-intent traffic → ROI becomes impossible to measure
80% 𝗼𝗳 𝗹𝗼𝗰𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗹𝗲𝗮𝗱𝘀 𝗵𝗮𝗽𝗽𝗲𝗻 𝗼𝗻 𝘁𝗵𝗲 𝗽𝗵𝗼𝗻𝗲... 𝗕𝘂𝘁 𝗺𝗼𝘀𝘁 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗱𝘀 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝘀 𝗱𝗼𝗻’𝘁 𝘁𝗿𝗮𝗰𝗸 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝗹𝗹. That’s why many campaigns look profitable in reports… But not in real life.
And the result? → Wrong optimization signals → Smart bidding confused → Budget shifted to low-quality traffic → ROAS dropping without a clear reason
𝗬𝗼𝘂𝗿 𝗮𝗱𝘀 𝗮𝗿𝗲𝗻’𝘁 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲. 𝗬𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗶𝘀 𝗯𝗿𝗼𝗸𝗲𝗻. Most e-commerce and lead gen businesses think they have a traffic problem. They don’t. They have a 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. Google Analytics is a decision engine.
Here’s what I see during audits: • Conversions not recorded • Purchase events firing twice • Leads counted but not qualified • Key events not marked properly • GA4 tracking installed — but misconfigured
Most Google Ads accounts don’t lose money on ads its paying for clicks, not results. Clicks go up. Impressions look strong. But revenue doesn’t move. That’s when businesses panic and blame Google Ads. The real issue usually starts after the click.
@via_marketing_ the purchase event fires empty (without revenue parameters)
𝗚𝗔4 𝘀𝗮𝗶𝗱 “0 𝗿𝗲𝘃𝗲𝗻𝘂𝗲”𝗯𝘂𝘁 𝘁𝗵𝗲 𝘀𝘁𝗼𝗿𝗲 𝘄𝗮𝘀 𝗺𝗮𝗸𝗶𝗻𝗴 𝘀𝗮𝗹𝗲𝘀 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. The purchase event was firing correctly The website wasn’t broken GTM wasn’t broken either Yet GA4 showed no revenue, no purchases, no products 𝗛𝗼𝘄 𝗜 𝗳𝗶𝘅𝗲𝗱 𝗶𝘁
This is why GA4 issues are dangerous. Events can fire perfectly… and still fail inside GA4. If GA4 isn’t configured right, your data will lie to you. 𝗣.𝗦. If your purchase event works in a test property but not in your main GA4, would you want help fixing it fast?
𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁: ↳ Before: 0 purchases, 0 revenue, broken reports ↳ After: 100% purchase tracking restored ↳ GA4 started showing revenue, products, and funnels correctly ↳ Google Ads finally received accurate conversion data
𝗛𝗼𝘄 𝗜 𝗳𝗶𝘅𝗲𝗱 𝗶𝘁: → Audited GA4 property settings line by line → Compared the main property vs the test property behavior → Validated event parameters against GA4 schema → Corrected internal GA4 configuration → Re-tested purchases in DebugView and real-time reports
𝗪𝗵𝗮𝘁 𝘄𝗮𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗿𝗼𝗻𝗴: ↳ Incorrect event configuration in the main GA4 property ↳ Purchase event not marked correctly as an eCommerce event ↳ Conflicting settings between data streams ↳ Property-level configuration blocking revenue processing
𝗧𝗵𝗮𝘁 𝘁𝗼𝗹𝗱 𝗺𝗲 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴: → The problem was NOT the website → The problem was NOT GTM → The problem was inside GA4 itself
𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗺𝗮𝗱𝗲 𝘁𝗵𝗶𝘀 𝗰𝗮𝘀𝗲 𝘁𝗿𝗶𝗰𝗸𝘆: ↳ Purchase event was sent from the website ↳ All eCommerce parameters were present ↳ Add to cart, view item, begin checkout worked fine ↳ Purchase event worked perfectly in a GA4 test property
@aryanlabde Marketing isn’t hard, it’s just a puzzle until you find the right piece.
@irabukht It’s almost always fixing the conversion signal. When platforms finally know what actually matters (real leads / real revenue), everything clicks. Before that, you’re optimizing on noise. ROAS doesn’t wake up from better ads. It wakes up when the data stops lying.
Scaling Google Ads without fixing tracking is burning money silently. In 2025, most marketers think Google Ads is failing. But the real failure happens before the ad even learns. Bad tracking feeds bad data. And bad data kills performance.
Google Ads doesn’t scale because of bigger budgets. It scales because of better data. Clean data turns Google Ads into a growth engine. P.S. Are you 100% sure Google Ads is learning from real conversions or just counting numbers?
The result for one client: ↳ Before: Google Ads showed volume but low quality ↳ After: +58% better ROAS in 28 days ↳ Cost per purchase dropped 42% ↳ Scaling finally felt safe
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