Check whether invalid clicks are inflating Shopping and Search costs

I suspect invalid clicks are inflating costs in my Shopping and Search campaigns in [account name]. Check this using the last 14 days. 1. Run the fraud scan for the last 14 days. If the fraud tag is not set up yet, stop and walk me through the setup for my domain [domain] instead. Keep in mind the tag only sees clicks that land on tagged pages, so tell me whether my Shopping product pages are covered. 2. List IPs with a fraud score of 70 or higher, with these columns: score, reasons (repeat clicks, velocity, datacenter, Tor, bot user agent), click count and the campaigns they hit. Where the scan does not say which campaign an IP clicked, look up that IP's individual clicks to find out. 3. List my Shopping and Search campaigns and pull their daily performance for the same 14 days. Point out days where CTR spiked while conversion rate dropped, and check whether those days line up with the clicks from the suspicious IPs. 4. List my existing IP exclusions per campaign, and how many slots remain under Google's limit of 500 IPs per campaign. Deliver: - A table of IPs recommended for blocking, with the campaigns to block them on. - The estimated cost of the clicks from those IPs: each IP's click count multiplied by the average CPC of the campaign it hit over the same period. Label it clearly as an estimate. - A short verdict: is invalid traffic material here (more than 5% of spend) or just noise? Leave out any IP the scan shows with a conversion. If the scan does not report conversions per IP, say so and mark the IPs I should double check against my orders before blocking. Never include our office IP [office IP]. Show me a preview of the block list per campaign. Wait for my approval before excluding anything.