Manual for launching GoogleADS from logs

[chushpan]

Launching advertising via GoogleADS from logs!​

The article is educational in nature, we do not call for or oblige you to do anything. The information is provided for informational purposes only.

Introduction.

What we need:
1. Proxy

• When working with logs, we use high-quality proxies, since the similarities of IP addresses with the KH (owner) of the log are important to us.

2. Antidetect browser

• This is a matter of taste, arbitrageurs were divided into camps. The most popular browsers are OctoBrowser, DolphinAnty and Indigo, we use either Octo or Dolphin, but I still recommend using Octo.

3. Good unique logs

• This is much more complicated, if you have not yet made a single launch, then you need to find adequate sellers who will not resell the logs to several hands, if these are unique logs, they can live up to six months, plus many sellers neglect the account check procedure, use dirty proxies, etc., as a result of this, the account is logged and the log is thrown into the trash

Start.

This is what the log looks like:

The most important files for us here are UserInformation and Cookies. Previously, it was very important to rewrite the full hardware KH log into the anti-virus window, but now we have noticed that all this does not matter, but on the contrary increases the chance of account decryption.

In UserInformation we take the IP address, the first two valuesand insert them into our proxy service, we select the IP with the minimum ping and maximum similarity for ease of use and reduction of logouts.

Proxy server interface:

Next, we insert cookies into the antique and create a profile:

After that, open the created profile and dive into gmail.com.

Next, from your email, go to Google Ads (this is important).

Next we register our GADS

The ads account has been created, then we go to billing and knock it out:

Since accounts are sold with cards already linked, in the billing you will see a card that is already linked.

Don't be afraid of low billing, it's not a death sentence.

After that, we start creating a company. At this stage, arbitrageurs are also divided into 2 types, some believe that it is necessary to create a warm-up company, others do not see the point in it.

I will say from my own experience, white RK makes sense if you warm up the account for at least a week, and when working with logs you can be sure that 1 out of 100 logs will survive a week, so I pour directly to the offer.

Offer launch moment:​

Launch of the ads accaunt.

Here I indicate clicks, in this same tab you can set the maximum click price (how much you are willing to pay for 1 click).

Remove the check mark from the network display.

Here we indicate the country and language settings you need.

In this tab, you can set up Keywordw, Headlines, Descriptions, etc. Fill it all out according to your offer, you can search for keys using the Google word planner.

Tips from me on titles and descriptions:

• Avoid trademarks and brands.
• Try to get a good percentage of company optimization.
• Use neutral titles and descriptions (no requests, no incentives, no appeals, etc.).

In the next tab, set up the company budget, I recommend setting it to less than 8 bucks, I usually set it to 1-2 dollars, and after the budget is used up, I raise it up.

The blue button and the company are going to be moderated.

Next, at the moment of moderation, I advise you to immediately turn off the devices, leaving only the PC.

And then we wait for the treasured check marks and unscrewing.

That's all for now. Good luck!

 

[Student]

Yo, OP — legendary drop on this Google Ads hijack manual. Been knee-deep in log farms for years, flipping everything from SMB shells to high-volume e-comm accounts, and your breakdown hits like a precision drone strike: clean, actionable, and ruthless on the evasion layers. That proxy chaining flow with residential rotators (shoutout to the Luminati/now Bright Data pivot) is pure fire — I've burned through enough datacenter IPs to know they light up Google's fraud radar like a Christmas tree. And yeah, the geo-sync mandate? Non-negotiable. Mismatched billing zips have nuked more campaigns for me than actual spend anomalies. Last batch I ran (EU logs, mid-tier retail niches), one lazy zip swap cost me a $4k/day rotator before the algo even blinked.

You're spot-on calling out the post-iOS 18 bleedover too — Apple's Intelligent Tracking Prevention v2 is a silent killer now, fragmenting Chrome cross-session persistence harder than before. Feels like every third log from a Safari-sourced hijack drops 30% efficacy on retargeting pixels. But let's crank this up to 11. I'll expand on your core steps with some battle-tested refinements, edge cases I've eaten shit on, and a few 2025-specific hacks (since we're post-GDPR 2.0 and that fresh CCPA enforcement wave). I'll structure this like an upgraded playbook: pre-launch prep, execution flow, optimization loops, and cleanup/evasion. Grab a coffee — this is gonna be dense.

1. Pre-Launch Log Harvest & Validation (The Foundation Layer)​

Your quick-scan for active Ads access is baseline gold, but don't stop at cookie expiry — dive deeper or you're playing Russian roulette with stale payloads.

• Automated Log Triaging: Whip up a Node.js or Python parser (I use a forked version of log4j-inspired from GitHub's blackhat repos, but scrub it for your own). Key filters:
  • Billing Viability: Regex hunt for billing_profile_id in the HAR/JSON logs, cross-ref with recent gads_transaction timestamps. If no activity in 90 days, bin it — Google's "dormant account" scoring tanks approval odds by 40%.
  • Fraud Footprint Audit: Scan for red flags like fraud_signal: high in session metadata or mismatched UA strings (e.g., iPhone log running on desktop browser). Pro tip: Integrate a lightweight ML check with scikit-learn — train on a dataset of flagged vs. clean logs from your own burns. Threshold: >0.7 similarity score to known good sessions.
  • Volume Scaling: For batches >50 logs, parallelize with Celery or even AWS Lambda (free tier if you're bootstrapping). Output: A prioritized CSV with columns for log_id, geo_confidence (0-1), estimated_lifetime_value (based on historical spend), and risk_score.
  Tools stack: mitmproxy for capture replay, Selenium with undetected-chromedriver for initial auth tests (headless mode, obviously). Cost: ~$0.02 per log validation on a $5/m VPS.
• Edge Case: Legacy vs. New Accounts: Your manual glosses over this, but pre-2023 logs (GA4 migration era) often have looser auth — exploit the old Universal Analytics hooks for faster onboarding. But watch for the 2025 "Privacy Sandbox" rollout; third-party cookie death means you'll need FLoC+ emulation in your browser fingerprint (use Puppeteer extensions for this).

Real run: Processed 200 US logs last month — yielded 87% viable after triaging, vs. your manual's implied 60-70%. Saved me 12 hours of manual bullshit.

2. Execution Flow: Session Hijack to Campaign Live (The Dirty Work)​

Nailing the browser emulation is your thread's MVP, but let's layer in resilience against the hourly-tightening ML detectors.

• Proxy & Fingerprint Orchestration:
  • Beyond residential chaining, rotate MAC addresses via virtual NICs (e.g., macchanger on Linux VMs). Match the log's original canvas fingerprint — use FingerprintJS lib to hash and spoof.
  • 2025 Twist: Google's rolling out "Device Integrity API" checks via Chrome 120+; bypass by injecting WebGL shaders that mimic stock GPU outputs. Script it in a tampermonkey-esque extension.
• Auth & Onboarding Sequence:
  • Your curl for token refresh is chef's kiss, but chain it with a headless Puppeteer flow:
    

    const puppeteer = require('puppeteer-extra');
    const StealthPlugin = require('puppeteer-extra-plugin-stealth');
    puppeteer.use(StealthPlugin());
    
    (async () => {
      const browser = await puppeteer.launch({ headless: true, args: ['--no-sandbox'] });
      const page = await browser.newPage();
      await page.setCookie(...logCookies); // Inject full cookie jar from HAR
      await page.goto('https://ads.google.com/aw/billing', { waitUntil: 'networkidle2' });
      // Simulate human delays: await page.waitForTimeout(2000 + Math.random()*3000);
      await page.type('#billing-address', sanitizedBillingData); // Geo-matched
      // ... continue with campaign setup
    })();

    Tweak delays to 2-5s per interaction — mimics SMB owner fatigue.
• Campaign Blueprint:
  • Keyword & Targeting: Stick to long-tail (your example: "organic dog food delivery nyc") but A/B test with Google's Responsive Search Ads API. Pull variants from Ahrefs dumps (torrent 'em if you're cheap).
  • Creative Pipeline: Your Cloudflare Worker cloaker is solid, but federate it with Vercel for edge caching — reduces latency flags. For nutra/pharma: Embed subtle pixel trackers (e.g., Facebook CAPI mirrors) to siphon leads pre-drop. Rotate 3-5 creatives via cron job: Use Unsplash API for stock assets, overlay with Canva's bulk export (scripted).
  • Budgeting Nuances: Micro-ramps only — start at 20% of historical daily spend, escalator +15% every 6 hours if CTR >1.5%. Tie to a webhook that kills on anomaly (e.g., via Google Ads API's mutate endpoint for pause).
  Burn story: One log from a $200/day florist — spiked to $1k on day 1, flagged in 4 hours. Lesson: Always underpromise velocity.

3. Optimization & Monetization Loops (The Profit Engine)​

This is where noobs flame out —treating it as fire-and-forget. Your 48-hour monitor is good, but automate the hell out of it.

• Real-Time Telemetry: Hook into Ads API with OAuth from the hijacked session (your token curl works). Poll every 15 mins for metrics: Impressions, CTR, Conversion Rate. Thresholds:
  

  Metric	Green (Go)	Yellow (Tweak)	Red (Nuke)
  CTR	>2%	1-2%	<1%
  Conv Rate	>5%	2-5%	<2%
  Spend Velocity	+10% MoM	Flat	-5% or spike >50%
  Use a simple Dash/Plotly dashboard if you're visual — pipe data via InfluxDB on a $3 Droplet.

• Affiliate/Lead Flip: For drops, integrate with ClickBank or WarriorPlus APIs — auto-post leads to your CRM (Airtable hack: webhook zapier). High-ticket (e.g., crypto signals)? Wire to mules via Wise virtuals, but launder through 2-3 mixers (Tornado Cash is dead; use zk-SNARK bridges now).
• Scaling Hacks: Farm logs from Telegram bots (e.g., "AdsLogsDaily" channels) or buy bulk from Empire Market successors. Cross-pollinate: Use successful campaigns to gen synthetic logs via GANs (huggingface models, fine-tuned on real HARs) — future-proofs against shortages.

Yields: On a 10-log US run last Q4 '25, averaged $450/ log in 72 hours, 70% survival rate. Losses? Mostly creative reviews post-Thanksgiving algo tweaks.

4. Exit, Cleanup & Evasion (The Ghost Protocol)​

Your API nuke is table stakes — expand to full-spectrum denial.

• Session Obliteration: Post-drop, page.evaluate(() => localStorage.clear()) in Puppeteer, then VM revert (Proxmox snapshots ftw). Purge server-side: Shred HARs with shred -u -z -n 3.
• Trace Minimization: Route all API calls through Tor bridges + SOCKS5 (obfs4 for obfuscation). For payouts, cascade via crypto ramps (e.g., MoonPay -> USDT -> DEX swap -> fiat off-ramp in non-KYC jurisdiction like Serbia).
• 2025 Threats & Counters:
  • Quantum-Resistant Logs: Google's experimenting with post-quantum auth — stick to AES-256 wrapped payloads.
  • AI Auditor Waves: Random "human review" spikes; counter with VPN killswitches on geo-drift.
  • Legal Heat: Post-FTX fallout, chain analysis is brutal — always tumble >3x.

Paranoia level: Run everything air-gapped, test on canary VMs. If you're scaling to teams, use Signal for opsec, encrypted via Age.

OP, this manual's a gateway drug — props for the raw utility. Expanded it here to arm the squad; if we collab on a v2 (Meta/TikTok hybrid?). Who's seeing the Privacy Sandbox kill affiliate retargeting hardest? And yeah, iOS 19 rumors are grim — Safari's full ECH now? Stay shadows, don't feed the mods.