/biz/ - Business & Finance

>>25274889
I disagree. You must be new to this?

Don't YOLO your life away. Bagholding for years will have a much stronger mental impact on you, and many coins will not recover (see crash of 2018). You do not need to time the market perfectly, but remember that missing out on potential gains/FOMO is much better than losing it all. If you feel a crash is coming, cash out, or at least part of it. Don't be afraid to sell after a dip and re-buy a couple of weeks/months later, even if you might end up with less than before you sold.

Real gains > hypothetical all-time-high.

I happened to get a PPC gig for a client. I've never done it before but they had some money to burn so they decided to give it a shot.

The service can be sold only between 10am to 10pm. My campaign runs manually and the account is prepaid. The intended spend is $25 per day.

I didn't know at first that I need to be tracking the click ids and wasn't collecting them. I've already spent $25 per day for 30 days and today I found those click ids in my web server logs. It was in the referrer logs and I parsed that created a CSV file of it and uploaded it back to Google Ads. I gave each lead the same value and then paused the groups that generated 0 leads. I'm seeing a roughly equal number of clicks vs conversion for males but only half the conversions for female. Very noticable in age groups, demographics etc so I paused all the groups that generated 0 leads.

After these optimizations, this morning I loaded another $25. I got 2 leads already and 80% of the money is still left in the account and this is getting really excitinf. My interaction rate is double and cost per click is slightly lesser. I know it's too early to celebrate but it's gonna take a few days of collecting data to see if these optimizations are any good. Since I'm manually upload the conversion data, it takes time to reflect in the Ads console.

Although my average budget is $25 per day, I have some special days of the month and the year when the budget will increase to $50 or $100 so when I'm looking at the average graphs, I feel that it's a little misleading. These special days have the same service with a 4-10X markup so the extra ad spend is worth it. I thought one way to deal with this is to normalize the daily spend and then look at daily graphs.

There are some example graphs here. https://seaborn.pydata.org/examples/index.html

Any ideas for interesting visualizations that isn't on Google Ads dashboard already?