The best place to begin with SEM:
The number one search platform would be Google adwords, which gets approximately 15 Billion visitors a month as probably the main advertising platform for most network marketing, next would be being ads which places as large amount of ads on Yahoo. Following those two platforms there are number of secondary SEM platforms as well as major social network advertising options.
If you are involved in Any type of network marketing this is valuable information for you!
If you would like to have access to additional information about paid search you can find the most recent news on SEM and helpful tips to get started with the PC ads on the major search marketing platforms below:
every platform has its own getting started guide and tutorials another good resource for beginners is insiders guide to Google adwords
synonyms and acronyms for SEM:
“search engine marketing” at one time was an umbrella type term used to cover both SEO (search engine optimization) and paid search activities. But now the industry standard has changed and adopted the term SEM solely to refer to paid search.
Here at johnnystew’s network marketing information we use the term SEM am and/or “paid search” to cover paid listings through advertising sites and the longer-term of search marketing to encompass both SEO and SEM. The following list is some of the most common terms that also refer to SEM activities:
- paid search ads
- paid search advertising
- PPC (pay-per-click) which could also refer to (pay-per-call) for ads that are given to mobile search users and may be charged by the number of clicks that resulted in a direct call from a smart phone
- CPC (cost-per-click)*
- CPM (cost-her-thousand impressions)*
*most search ads are sold on a CPC/PPC basis although some advertising options may also be sold on a CPM basis.
PPC (pay per click) advertising tips and strategies
PPC or SEM Geo-Bidding:
The soul purpose of geo bid adjustments is to maximize PPC campaign volume or ROI by bidding accurately on some configuration of different geographic areas (a number of states and metros within the US, for example).
This “bid adjustments” functionality, called Enhanced Campaigns when first rolled out by Google, is a powerful advancement over the old methodology where you had to set up a separate campaign for every geo-specific bid strategy you wanted to deploy. Granted, bid adjustments may not be the only geo-strategy in many accounts. But many PPC accounts it’s a great time-saver to lean more on bid adjustments and less on elaborate account structures, geo-specific ad copy and so forth.
accept that complex stories are irrelevant:
Most of the resulting actions will be small bid adjustments of less than 10 percent. In other cases, those adjustments may be 20 percent, 40 percent, or all the way up to 100+ percent if you are looking at a highly localized type of business. In all cases, what you are doing is playing with bids. Nothing more! Hearing an elaborate story about neighborhoods and people does zero to alter the course of events. Just normalize each segment to hit your target KPI on all of them.
Geography is not being used as a bid factor for its inherent characteristics, presumably, but because it is a good enough proxy for propensity to purchase. That propensity doesn’t derive solely from income, but from a mix of demographic and cultural characteristics, including the nature of employment or common pastimes.
For simplicity’s sake, it’s worth remembering that we are essentially on the lookout for differing conversion rates (though you can opt to manage to ROAS, CPA or whatever you like, of course). A greater search query volume, because “people like salty snacks in this region,” doesn’t necessarily translate into more dollars to the business, since we’re paying for clicks.
The behavior of the segments has to be significantly patterned in a manner distinct from just random data fluctuations to be worth adjusting your bids to. Put another way, long-term patterns that are distinct enough from the mean to build up a high statistical confidence level warrant attention. Stuff that just bounces around short-term but results in regression to the mean shouldn’t be “chased” — at best, you’re getting no farther ahead; at worst, you do even worse than if you had not managed it at all.
Following from that, I’ll save you some time: If you’re getting excited about how to best market to a bazillion ZIP codes, keep randomness and statistical confidence in mind. Maybe don’t bother unless you’re very advanced and have a very large account.
Behavior will vary from industry to industry, from account to account and from campaign to campaign.
Making the Most Of Google Analytics Audiences Within Your Search Campaigns:
Since 2013, Re-marketing Lists for Search Ads (RLSA) has been such an integral tool for PPC marketers that it’s hard to remember what our campaigns looked like without them. Did we just… use the same bid for everyone? Madness.
In 2015, when Google announced they were allowing Google Analytic s re-marketing lists to be used in search campaigns,When they were previously restricted to use in display.
As you may know, there are many more options at your disposal when building re-marketing lists in Google Analytic s than in AdWords, so this opens up a range of new possibilities for your RLSA activity. But how exactly do you get your GA account ready for RLSA? And with so many options to choose from, how do you decide which lists are right for you?
Before you get Going with brainstorming strategies and creating Google Analytic s re-marketing lists, you need to make sure that your Google Analytic s account support re-marketing.
It’s a simple process for anyone with “edit” access to the account:
In the admin tab, just navigate to the correct property and click Tracking Info, then Data Collection. Then it’s as simple as flicking a switch to enable data collection for both display and search re marketing.
When that’s finished, you can get started on building your re-marketing lists. Much like in AdWords, where re-marketing lists are automatically created as soon as your code is implemented on-site,Google Analytic s offers up some inspiration for audiences you could be targeting.
Under the re-marketing tab, you’ll find a selection of preconfigured audiences that can be easily created with just a few clicks. Or if you’ve got some specific audiences in mind, you can also create a new audience or import a segment that has already been created within the account.
Google Analytic s “Smart Lists”:
Smart Lists are one of the audience types at your disposal in the re-marketing tab. There are also lists automatically created by Google based machine learning and conversion data which, should contain users more likely to convert on a subsequent visit.
There also has been compelling evidence that the benefits of using these audiences inside the display re-marketing campaigns, and it looks like they are proving successful. Some people are seeing Google Analytic s smart lists achieving conversion rates up to 20 percent higher than other audiences when applied to search campaigns.
But in fact, it’s mostly shopping campaigns where these audiences are really excelling. Retail clients have applied smart lists and have seen conversion rates 58 percent higher than their other audiences and 138 percent higher than users outside their re-marketing lists.
User Engagement Lists:
One more strategy when using Google Analytic s re-marketing is to create audiences of your most highly engaged users. While AdWords re-marketing lists can be great for re-targeting people who’ve visited the site, just visiting a particular URL may be no real indication of whether someone is the right customer and therefore worth re-targeting.
This is especially can be a problem for certain industries where you are dealing with an uneducated market. Hosting is a perfect example of this:
if someone is searching for “hosting” they could be your new great customer or it could be a teenager looking for a new place to host his next game of Minecraft. If that’s the case and the teenager ends up on your home page and in your “all visitors” list, you do not want to pay more next time he completes a similar search.
When you are using lists in Google Analytic s based on user engagement, you will be able to filter out those irrelevant users and lower the visitors really worth spending extra money on. A few successful engagement-based audiences have been ones who:
- had Bounces that = 0
- looked at more than some pages per session
- Spent more than X-amount of minutes on site
If you’re not seeing a significantly improved performance from your current audiences, why not go one step deeper and make sure you’re only using those brilliant RLSA strategies for your most engaged users!
Enhanced Ecommerce is a great option that enables retailers to measure user interactions with particular products on-site. This can be anything in the funnel, from viewing a product on a category page to actually purchasing.
This will give you insights into how users are behaving, how different products are performing, and also where people are falling out of the sales funnel.
Also, it enables you to build re-marketing lists based on interactions. If you’re using Enhanced Ecommerce, a new tab will appear in your Audience Builder, where you can create lists of users who have added a certain brand to their basket, spent over a amount threshold or purchased a certain category of product, to name but a few categories.
One marketer sees, “Back to School” season is one of their busiest times of year. With limited budgets and a highly competitive search ad landscape, they can’t afford to be in position 1 all summer.
However, now they have lists of users who have already purchased a school supplies. When summer 2016 arrives, they know they can afford to increase bids for those users, as they’re highly likely to purchase from again.
The bottom line:
you can create so many audiences in Google Analytic s that simply wouldn’t be possible in AdWords, so it can be difficult to know where to start. I hope this article has provided some vital network marketing information, as you implement these strategies try to keep this in mind
First, don’t try to use lists based on demographics or interests in search campaigns. Remember, each re-marketing list you create will only be linked to one AdWords account, if you have a large number of accounts, some logical naming strategies and patience may be important factor to remember.
If this isn’t enough reason to try out Google Analytic s + RLSA, then remember that unlike building AdWords re-marketing lists, will not even require any changes to your site. Almost any advertiser could start building and using these lists tomorrow. So what are you waiting for?
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