For a long time my adwords account was working with NIS currency (while 1USD = 3.5NIS). I've decided to transfer my account to USD currency, for this I've opened a new account and copied all campaigns.
I've noticed something very bizarre in my new USD account. Keywords which were placed in the first page with NIS currency now require a much higher bid. For example, a keyword had a 0.82NIS bid (0.24 USD) and had avg. position of 2.8 now requires 1.31$ according to google to enter the first page.
How is it possible?
Thanks
I'd guess that the most important factor is that your new account has no CTR history, meaning that your quality score tends to be much lower than in your old account.
This in turn leads to higher first page bid estimates.
Your Google account manager might be able to change the currency of your old account if you're a big spender an important customer. That way, your bids should stay pretty much the same.
Related
I am preparing an Operational Budget for next year for my company.
I am working with operations managers to define target at stock point level and I want to see how the monthly targets look using last year actuals distribution.
Bellow, you have a google docs link which you can use to better understand the situation.
I have trouble doing this with one of the KPIs which is %Orders Sent On Time. Since the company performs rather well, when I define a annual target of 99% and then distribute that by the months, using last year distribution, some of the months go over 100%. Do you have any methods which I can use to set a limit so that each individual month does not go over that.
https://docs.google.com/spreadsheets/d/1z7WF-M5CaH52ANtYD9j-Z5_P0FvBiVZnmIQTonPaquU/edit?usp=sharing
Edit: I need the solution to be available on google sheets, for cooperation between teams.
try in H22:
=IF($P$22*H10/$P$15>1; 1; $P$22*H10/$P$15)
I finally managed to come up with a really good ML model, with an accuracy over 90%. Great! But now I need to use this in real world :)
My dataset is something like this: every time a user accessed my website in the last 2 years I saved in a database if that user was using a computer or a smartphone, time of the day, week day, where the user is located.. And every time in the future, if the user did a conversion on my website, I would update the database to save that this particular user made a conversion.
I trained my ML algorithm using Naive Bayes (I used [Rubix ML][1] library for PHP which is pretty great, the devs behind it are awesome and kind people) and the results were surprisingly good, it can 90% of the time predict if a user that accessed my website will convert. That's a huge milestone to me!
So now comes the real world part: I need to extract some "logic" from the model. I can save the model weighs/configs to a txt file after training it, and then I can load that configurations and start making predictions on the fly.
BUT I CANT make predictions on the fly on my use case, here is the why: I am using Google Ads to advertise this website and I need to tell Google Ads "hey google, please show my ads only to people using computer, at night, on saturday which are female ate 18-24 age". I need to tell that to Google before running my campaign.
So here comes the real world part: how do I make any sense of those weights/configs saved in the txt file? I would like to know the relationship/interaction that the ML model found on my columns (device, gender, age, location...) and tell google only to run my campaign in the best favorable conditions, I mean, only when I am pretty confident a conversion will be made. I can run my prediction algorithm on Google Ads and tell google every time I participate in an auction "hey google, according to my predictions, this person, using this device, at this time of the day... does not worth my bidding, so please dont show my ads to this person".
THERE IS CLEARLY a relationship between the columns/features (device, gender, age...) because if I analyze the features isolated there is no evident pattern that computer is worth more showing ads than smartphone, same is true to age, gender... There is no clear winner, sure I can see some pretty small fluctuations that some features are better than others, but mostly, it's not clear at all. So I am pretty sure the features are highly dependent on each other.
Do you have any idea on how I can extract some logic from the txt file in order to know which columsn/features are worth more?
I dont know if it will be of any help, but I am providing you my txt file, just so you can see what I am dealing with.
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As I understand, when a user logs into your site, with his/her details, and you want to show your specific ads (eventually not showing any). According to your server technology, you develop a web component that displays your contents according to your predictions. These contents (pictures/text) would be linked to the actual marketing page, including your site as referer. Then you would be rewarded if clicked.
Maybe you want to show specific Google Ads, ones that you favor. That is Google Ads' job to select ads, I doubt if Google allows your choice. Google has its own prediction algorithms based on the (same) user's actions while browsing on Chrome.
I'm trying to find an "Exchange/trading platform" with the following conditions
I must be able to purchase currencies (fiat or crypto) and not need to return back to the base currency. I do not wish to open and close positions. I plan to only take, never make. - Is there a name for this?
The commission needs to be as low as possible preferably less than 0.1% per trade (I want to high-frequency trade)
I'm after API access for the High-frequency trading.
I'm after a large grid/table (every currency into every other currency) for example:
Ideally, 9+ currencies. - I have made this in excel using modified data from https://www.exchangerates.org.uk/currency/currency-exchange-rates-table.html
If all of these exist on a single website, that would be wonderful!
Thank you in advance for any and all help.
Binance.com (crypto) has what you want.
API Access: https://github.com/binance-exchange/binance-official-api-docs
Low Fees: 0.075% for a taker trade
If you use my referral link you will get an additional permanent 10% trading fee reduction.
https://www.binance.com/en/register?ref=OTWO00WS
(I also get 10% so it's a win win)
I am creating iOS application where local carpenters can sell their furniture in my app.
My business model would be based on a small fee per transaction (let's say 0.001% + 1$ per sale). Is it possible with PayPal (how)?
If not - are there any alternatives?
Not related to coding, but business-wise, .001% seems like smaller than you mean for it to be. A better amount would be something like 5%. If your app succeeded beyond your wildest dreams and you started doing $1,000,000,000 a year in sales, .001% of that would net you $10,000.
We have a web app that among other things, allow users to leave a cash balance on their account (which can be cashed out anytime or used to purchase items on the site). Users can withdraw and deposit funds to their account anytime. It was never intended for it, but we now have users who leave large sums on their account and they're now requesting that we provide some interest on their account balance which is totally reasonable. Problem is we have no idea how to calculate interest on an account where users can withdraw and deposit funds anytime, but all the banks obviously do it so I was wondering if there's a standard way (or ruby gem) to calculate interest. Any pointers or help is greatly appreciated.
The db table setup is pretty simple.
User has one Account
Accounts(user_id, balance)
Account has many activities
Activities(account_id, type, amount, description, created_at)
Where type can be either "Deposit" or "Withdrawal".
For the answer on what interest calculation to use I agree with Ray Toal that you are going to have to ask your client what interest calculation to use and what their payment scheme is like.
Usually speaking, financial institutions that offer interest on a chequing account are calculated with compounding interest calculated daily [at the close?] of each business day and paid monthly at the end of each month by a deposit directly into the account.
Notably, banks and other financial institutions will tell their clients the interest rate on a yearly basis (APR) and not the interest rate per-day. It is an elementary mistake that I have made in the past.
Take a look at the Exonio gem: https://github.com/Noverde/exonio.
This gem implements some of the Excel financial formulas, including the Interest calculation that you are asking for.
From their docs:
What is the interest part of a payment in the 8th period (i.e., 8th
month), having a $5,000 loan to be paid in 2 years at an annual
interest rate of 7.5%?
Exonio.ipmt(0.075 / 12, 8, 12 * 2, 5_000.00) # ==> -22.612926783996798
So, in the 8th payment, $22.61 are the interest part.