Increase Google Analytics traffic

Increase Google Analytics traffic
I want to increase the traffic of Google Analytics, it can be through software, programs, robots, and more.
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This is fake data. Is there such a method?
If there is such a way, can you tell me? Thank you!
There are multiple options like traffic spirit and hit leap


What follows is a walk-through of assumptions I make during forecasting to help guide decision making and get things right.

1. CPCs + CPMs Will Increase Year Over Year

“Why am I paying more for the same?” asks the CMO.

Because inflation and Wall Street, that’s why.

If your account has history, try to map CPCs out over a few years to see how they’ve trended to guide your decision.

If it’s a newer account, your best bet is to trust Google’s planning tools and build in a mid-year reforecast.

This year has proven to be a bit more variable than years past, but a 10% increase in CPC/CPM is generally a safe assumption.

2. Conversion Rate + Order Value Won’t Change Unless You Change It

If your conversion rate was 3% for non-branded mobile campaigns last year, it will be 3% next year.

If you don’t do any testing, no improvement will happen.

If you do test (which you should), adjust your assumptions. An increase of 25% (e.g. 4% to 5%) isn’t outside the realm of possibility if you do make a significant investment.

If you want testing tips, check my tips for improving PPC landing pages.

If you’re starting from scratch, it can be a bit more challenging to forecast. A safe assumption is that your brand campaigns will correlate with direct traffic, while non-brand

will be close to organic.

3. The Calendar Will Change, As Should Monthly Forecasts

Black Friday 2018 was November 23, which meant Cyber Monday fell in November.

Black Friday 2019 is November 29, meaning Cyber Monday will fall in December.

Christmas this year is on a Wednesday (vs. Tuesday last year), meaning we’ll likely be able to eke out a few more days of shipping.

The 4th of July is on a Thursday this year, meaning the entire weekend will be heavy on vacations.

Last year it was Wednesday, meaning it acted more like a short break than a summer holiday.

November and July will perform “worse” year over year. December, “better.”

Factor the environment in your forecasts by diving a bit deeper.

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4. Competitors Will Stay Steady, As Will Auction Dynamics

We all know this isn’t true, but it’s the best we’ve got.

Competitors will come and go. Competitors will change their strategy… a lot.

Barring any significant external factors, you can safely assume the volume of competitive pressure will stay flat.

It’s rare to see a competitive set exponentially grow overnight – after all, there are only so many ad slots.

Competitors will come and go. They will adjust strategy, but the quantity and pressure (likely) will not.

5. Inventory Is Finite: The Next Click Costs More Than the Last

Everybody would love to get more traffic out of their best performing targets.

Unfortunately, there’s not always more traffic to go get!

I understand and respect they want to make more money. However, they can’t do it at the expense of wasting spend on bad clicks for a brand.

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In order to help cut down on that wasted spend, we have taken a few different steps with clients this summer.

The first step is being even more ruthless with our negative keywords and making sure we think of cases where we can add more negative keywords to anticipate future searches.

A good example is adding motorcycle brand names as negative keywords after seeing Yamaha come up in our SQR work. We also review our negative keyword list on a weekly basis to

make sure we can consolidate terms where it makes sense.

If we see six exact match negative keywords with the term “camper stove” in them, we will put “camper stove” as a phrase match negative keyword.

In extreme cases, we may turn off a product if we don’t think the time invested is worth showing shopping ad for the product.

With automation, machine learning, and AI taking a larger role in our job function, we also lose the control we had back in 2013 and even the control we had to manage shopping

campaigns a few years ago.

I don’t fear this change as the one thing we can count on is change is going to happen within our industry. What I do wish is that we had a way to help make these systems better

and make our lives and jobs easier.

Features Request

When you look at the examples above and think about what would make our lives easier, my friend Julie said it best:

Have a mechanism in the UI to report a bad match & explain why it was a bad match for what you were trying to do.

— Julie F Bacchini (@NeptuneMoon) May 14, 2019

I don’t want my job to turn into training machines but if we could report the worst cases and help the machines understand why, it would make the whole system better.

Just the other day for our toy client, we got matched when someone searched for “chair” and another person for “house”.

I’m not even sure how these two came about.

What Does The Future Hold?

I’m not a futurist by any stretch of the imagination.

It’s clear that Google is moving forward with automation, machine learning, and AI across its ad business. As is Microsoft, Facebook and any other ad platform you can think of.

It’s up to us to let these platforms know where they need to improve and in what way.