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The search landscape now includes a lot more
‘people based marketing’ features
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The first example of people based marketing within
PPC search ads occurred in 2013
with the release of RLSAs
Since their
release, RLSAs
have gained
many new
functionalities
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The biggest update to RLSAs has been their
integration with Google Analytics remarketing lists
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Product BrandAd ContentExit Page
Transactions
Revenue Days to
Transaction
Product
Quantity Removed
from Basket
Product Category
RLSA integration of the Google Analytics
remarketing tag means you can now target by…
Date of First
Session
No of Sessions &
Duration
Traffic Source
Campaign, source, medium
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Analytics uses
standard
analytics code
AdWords tag
requires
AdWords tag
code
You can keep
both codes on
your site
AdWords tag
needs custom
parameters to
target beyond
page views
AdWords remarketing set-up lists VS
Google Analytics remarketing lists set-up
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Activate the remarketing function
in your Google Analytics tag
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Increase bids for users who have visited your
site the optimum number of times to purchase
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Virgin Holidays might find that most of
their users visit at least 5 times before booking
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1. Analyse your Path Length report in Google Analytics:
What is the
optimum number
of interactions?
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2. Create this RLSA list in Google Analytics under the Admin then Audiences
tab:
Conditions:
Sessions
= more than 5
AND
Transactions = 0
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3. Apply the list within the AdWords Audiences tab, to your existing ad groups:
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4. Choosing the bid only setting when you apply this list:
This means
ads will show to
anyone searching,
as well as your
audience
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5. Set a bid adjustment for your RLSA audience so your bids are adjusted
when this audience are searching using your keywords:
What should
your bid
adjustment be
set at?
http://bit.ly/1SWVWZO
(Credit Periscopix)
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Always apply the audience to
the ad groups and let it gather
conversion data before you set
bid adjustments.
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Generate awareness via Facebook ads,
then move these users closer to purchase by bidding
on broader keywords in search, with bespoke ad text
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Tony&Guy could run Facebook ads for awareness,
and then use RLSAs to reach these users when they
are searching for new hairstyle ideas on Google
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1. Target new audiences on Facebook:
Remember to
use UTM tagging
on the
Facebook ads
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2. Create your RLSA list in Google Analytics based on the UTM tags you attached
to your Facebook ad URLs
Traffic source:
• Campaign
• Medium
• Source
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3. Create a new AdWords campaign and ad groups, bidding on generic keywords:
These
keywords
will reach
users further
up the path to
purchase
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4. Create custom ad text designed for these users who are higher up the
path to purchase and still in research mode:
Think about
how the
ad message
can move them
closer to
purchase
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4. Apply the RLSA list within the audiences tab, choosing the ‘target and bid’
setting:
This means
ads will only
show when
the searcher
is on your
RLSA list
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Use RLSAs & Dynamic Search Ads together to
show ads for your entire product inventory if the
searcher is a regular customer
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Amazon could show text ads for any of the products
on it’s site if the user searching is a regular purchaser
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Create this RLSA list:
Conditions:
• Transactions
per user = >5
• List duration
= 4 weeks
Apply this as
target & bid on
your Dynamic
Search Ads
campaign
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Let Google do the hard work for you,
by using Smart Lists
You need
>500
transactions
per month
& 10,000 daily
pageviews
Smart Lists
work best on
ecommerce
accounts
Includes:
location,
device,
browser,
referrer,
duration,
If not, they’ll
optimise based
on similar
businesses
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M&S could apply a Smart List to existing search &
shopping ad groups with a positive bid adjustment if
the Smart List conversion rate is higher than average
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This is a
pre-defined list
Create this RLSA list:
Apply it as
bid only to your
existing ad
groups then
set bid
adjustments
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Show users who engaged with your email marketing
specific ad text when they are searching on Google
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Fabletics could show bespoke ad text when the user
searching previously arrived on their site via a
particular email campaign
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Create this RLSA list:
Traffic source:
• Campaign
• Medium
• Source
Apply this
list as
target & bid on
new ad groups
with custom
sd text
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Turn high value Black Friday shoppers
into repeat customers
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John Lewis could increase their bids on search &
shopping ads for high value Black Friday
shoppers after Black Friday
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Conditions:
• Session date
• Revenue
per session
Create this RLSA list:
Apply this list
as bid only
to existing
ad groups
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Increase bids for users who clicked a promotional
ad but didn’t convert
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Boots could increase bids for users
who clicked their promotional ad but didn’t convert
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Conditions:
• Ad content
• Transactions
• Session
duration
Create this RLSA list:
Apply this list
as bid only
on existing
ad groups
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Increase bids if the user searching has generated
a high conversion value for you historically
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Waitrose could increase bids when they know the
user searching is someone who spends more than
average when they purchase
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Ecommerce:
• Revenue per
session
Create this RLSA list:
Apply this as
bid only
on existing
ad groups
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Adjust your bids when the person searching is
similar to your existing customers
They
include
people with
similar
characteristics
Google
automatically
Create Similar
Audiences The larger the
original list,
the better
they work
Based on
browsing
activity in the
last 30 days
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Fee Unique could use similar audiences of their
existing customers as a bid adjustment on their
existing campaigns
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Find this RLSA list:
This is a
pre-defined list
that will appear
automatically
Apply this as
bid only on
existing ad
groups
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Upsell on products you wouldn’t
normally bid on, because you know the user
has already purchased something related
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Pandora might not usually advertise
silver cleaning kits, unless the user searching has
recently purchased a silver bracelet from them
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Conditions:
• Product
contains
Create this RLSA list:
Apply this as
target & bid on
new ad groups
of your target
keywords
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Increase bids on users searching for brands
that are similar to other brands they have purchased
from you in the past
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ASOS could increase bids on other petite brands, if
they know the user searching has previously bought
something from them by another petite brand
This could be
applied across
their search and
shopping
campaigns
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Conditions:
• Product brand
contains
Create this RLSA list:
Apply this as
bid only on
existing ad
groups
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Increase bids for users who completed a micro goal,
but not your main macro goal
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Halifax could increase bids for users who used
their mortgage calculator, but didn’t make
an appointment with their mortgage advisor team
You could make
your micro-goal
a time-on-site
requirement
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Conditions:
• At least 1
micro-goal
• No macro-
goals
Create this RLSA list:
Apply this as
bid only on
existing ad
groups
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RLSA audiences work with Conversion Optimiser
and other automated bidding strategies
Conversion
Optimiser
Target CPA,
& ROAS will override
manual bid adjustments &
automatically
adjust your bids for
RLSA audiences
you apply
Enhanced CPC
will make bid adjustments
on top of any adjustments
you have already set.
Avoid audience
overlap
on any ad groups
using automated
bidding if you
are applying
multiple RLSAs
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Remember that RLSA bid adjustments stack up,
just like other bid adjustments
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Test your list durations
The maximum
list duration is
180 days
Use the time
lag report and
consider your
average sales
cycle
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Other handy tips for RLSAs
You can have
up to 2,000
audiences per
analytics
account
Lists need at
least 1,000
members
Demographics
Such as age and
gender aren’t
available
In market
segments &
days since last
visit are not
available
Over the last few years, we’ve seen the search landscape evolve
It’s moved far beyond keyword targeting, and now includes a lot more ‘people based marketing’ tactics
One of the very first steps that AdWords took towards people based marketing was the introduction of RLSAs back in 2013
And since then, we’ve seen RLSAs go from strength to strength, with lots of new functionalities and features…
One of the biggest updates to the functionality of RLSAs has been their integration with the Google Analytics remarketing code
Despite this being a relatively quiet announcement from Google, the impact of this update was huge!
It meant that advertisers could use almost all the data in their Google Analytics account for RLSAs, instead of being bound by the standard AdWords RLSA code which are largely based on targeting by page views
It’s the opportunities that this update gave us that I’m going to be talking about today…
I’ll go over tactics and examples for using RLSAs with the GA code, and give some handy set-up tips and tricks
Lets get started!
The integration of GA and RLSAs means you can now create lists based on almost all the data in Google Analytics, from traffic source to transaction value
There are also other benefits of using the GA remarketing tag instead of the AdWords tag:
The AdWords tag means you need extra code on your site, Whilst Google Analytics uses the standard code with no adjustments needed (unless you are tracking app traffic)
You were limited to targeting based only on page views with the AdWords tag (unless you set up custom parameters which requires yet another piece of code & customisations)
Whereas you’ve just seen all the different ways you can target using the analytics tag
Although there’s no harm in keeping both codes on your site (for example you will need AdWords code if you’re doing dynamic remarketing), I think it’s clear which one wins the fight in terms of ease and remarketing functionality!
IMAGE: http://www.shutterstock.com/pic-247761133/stock-photo-funny-girl-female-boxer-model-wearing-big-fun-pink-gloves-playing-sports-boxing-studio-shot-blue.html?src=5j5xnCSmlHo9Yay4FyBDIg-1-3
And It’s easier than ever before to set it the code up
Just go to the Admin tab, and then tracking info, and data collection.
Toggle the switch next to remarketing to say ‘on’
That’s it!
You still need to update your privacy policy to declare your cookies as normal
If you want to use RLSA lists based on users of your app, you’ll need to customise the GA code on your site, which you can learn about here https://support.google.com/analytics/answer/2444872?hl=en
Now I’ve shown you the benefits of RLSAs via Google Analytics, I’m going to look examples of the tactics that are possible
A bit of a disclaimer: I’m not going to cover the tactics which were already possible with the AdWords code based on page visits or I’d be here forever, so I’m just focussing on tactics specifically possible with GA integration
The first couple of tactics I’ll go into detail on how to set them up, and then that set-up should be applicable to all the other tactics too
IMAGE:http://www.shutterstock.com/pic-287726324/stock-photo-soccer-field-with-the-text-tactics.html?src=IPAxilBX6JFgX0YhlYbxuw-1-94
Many transactions occur after a user has visited your site more than once (maybe they’ve been comparison shopping.
You can look at the optimum number of times most users visit your site before making a conversion, and increase your bids when they have reached that level of visits because you know they are more likely to convert that time.
For example Virgin Holidays might know that their users visit their site at least 5 times on average before booking
So they could increase bids if the user searching is someone who has visited their site at least 5 times,
Because they know that person is likely to be close to purchasing
They could even reduce bids if the user visits the site more than 1 times if the data shows that people who visit the site 12 times or more rarely end up converting
Obviously there are considerations with a site like this, such as offline conversions and phone calls etc that should be taken into account
Analyse your Path Length report to see what the optimum number of sessions before conversion is
Under the conditions tab
Sessions = >5
Use AND option, not or option
Transactions = 0
It’s a sanity check, because although in theory your GA data has shown that people who visit 5 times or more convert more, it’s good to apply the list witout any bid adjustments and see this for yourself, and then add bid adjustments once you’ve confirmed it’s the case.
This applies to all bid adjustment RLSA tactics
Facebook is a great platform for generating interest in your products or services amongst an audience who may not even realise they want them yet!
You can run a campaign on Facebook and generate lots of cost effective traffic, and then use RLSAs to bid on more general search terms that they might be using to search, and show bespoke ad copy based on their stage in the purchase process
IMAGE: http://www.shutterstock.com/cat.mhtml?lang=en&language=en&ref_site=photo&search_source=search_form&version=llv1&anyorall=all&safesearch=1&use_local_boost=1&autocomplete_id=&search_tracking_id=3r-bqV73jUUfgjBYsDw5xw&searchterm=facebook&show_color_wheel=1&orient=&commercial_ok=&media_type=images&search_cat=&searchtermx=&photographer_name=&people_gender=&people_age=&people_ethnicity=&people_number=&color=&page=1&inline=276608177
For example Tony&Guy could run Facebook ads to their target demographic with inspiration for new hair styles
Some of this audience will click through to the site
They might not be ready to actually book a hair cut / colour yet, but just be looking for inspiration
Tony &Guy would track these users using UTM tags on the end of their Facebook ads, so they can identify the traffic from this particular campaign
Then when those users are searching on Google for terms that T&G might not unusually bid on, like ‘hair cut inspiration’ they can bid on them but only in instances where the user has visited their site as a result of the campaign
These text ads could have bespoke messaging too – prompting the user to book a consultation with a stylist for hair cut inspiration
Egg this ad prompts them to make a free consultation appointment
Some consumers are creatures of habbit.
Even if they can find the same product cheaper on other websites, they’d rather buy it from the site they know and trust.
You can capitalise on this behaviour by combining RLSA lists and Dynamic Search Ads to always show ads for this particular customer type, regardless of what they are searching for and whether you already have search ads set-up for them.
I’m usually quit a savvy online shopper and I’ll do my comparisons to get the best deal,
but since I got amazon prime I’ve started buying all sorts things from amazon that I would normally just wait and buy on my weekly supermarket shop, from air fresheners to cleaning products.
Amazon could use dymanic search ads, layered with RLSAs to show text ads whenever a user searches for something that matches a product on their website, if the user is someone like me who makes very regular purchases and is likely to buy from them out of convenience.
For this list you want to say the number of transactions has been at least 5, or whatever number you want them to have made, and then say the list duration is 4 weeks for example, or however long you want those 5 transactions to have taken place over.
Very rarely would I say trust Google to do the work for you, but I’ve seen good results for Smart Lists when they have been used properly.
They work best on ecoms sites
You need 500+ ecoms transactions a month and 10k daily page views
If you don’t reach this, Google will use data from similar businesses to create your smart lists, which is why it’s important to remember this and use them properly otherwise it’ll be based on irrelevant data and you’ll get rubbish results
The data it optimises on includes device, location, browser, page depth, session duration, referer etc
For example Marks and Spencer might find that because they have a lot of conversion data, smart lists could work well for them.
They could create the list an then apply it to existing campaigns,
Setting a positive bid adjustment if the audience has a higher conversion rate than their standard campaign
Smart lists are a pre defined option on the first screen after you click to create a remarketing list, so they are super easy to make!
It doesn’t matter what you set the list duration for as Analytics updates the list daily depending on performance
Black Friday has become a huge deal for ecoms, and you can use RLSAs to capitalise on this sudden surge of transactions, and turn these shoppers into repeat purchasers.
Image: http://www.shutterstock.com/pic-337424894/stock-photo-modern-shopper-with-black-friday-paperbag-going-in-the-mall.html?src=aa6eQnCnj4rvWv7E9R-w8Q-1-0
For example, John Lewis could create a list of users who had high transaction values on the date of Black Friday
That list could then be applied as a bid adjustment so they can increase bids on their existing search and shopping campaigns when these users are searching after Black Friday, to increase visibility in terms of impression share and average position
This increases the likelihood of bringing them back to the site and making a repeat purchase
To create this list, go to the Google Analytics Audience section as you normally would for creating a remarketing list, and choose the ‘custom’ option
Then under the ‘Conditions’ tab, simply select Black Friday’s date (27th Nov last year) as the session date, and then choose ‘and’ for the next condition.
Select Revenue per session, and write whatever you’d like the minimum amount spent to be
Hit apply!
If you’re testing promotional ad copy, you can increase bids or specifically target users who clicked your promotional ad copy but didn’t convert
Image: http://www.shutterstock.com/cat.mhtml?lang=en&language=en&ref_site=photo&search_source=search_form&version=llv1&anyorall=all&safesearch=1&use_local_boost=1&autocomplete_id=&search_tracking_id=79Fvjy_ROs-ERvhATFwmyA&searchterm=sale%20gold%2050%25%20off&show_color_wheel=1&orient=&commercial_ok=&media_type=images&search_cat=&searchtermx=&photographer_name=&people_gender=&people_age=&people_ethnicity=&people_number=&color=&page=1&inline=245050771
For example, Boots were offering a discount on their Mac Jacobs Daisy perfume and provide the user with a code in the ad copy
If a user clicks the ad but doesn’t convert, they could either increase bids when this user is searching on the brand again, or create a campaign specifically to reach only these users which would have bespoke ad copy and landing pages relating to the offer
The list could also be applied to their shopping campaigns
To create this list, go to the Google Analytics Audience section as you normally would for creating a remarketing list, and choose the ‘custom’ option
Then under the ‘Conditions’ tab, select:
Ad Content = whatever your promo code / messaging was
Transactions = <0
Time on site = >30 (this makes sure they didn’t just leave really quick because maybe they clicked by accident or it’s not what they’re looking for!)
Hit apply!
For example Waitrose could increase their bids when the user searching spends more than average usually
It’s also a great way to keep your high value customers away from competitors because they might search for a generic term like ‘online grocery shopping companies’ and you can make sure you’ve got the best visibility when they search and could find a competitor ad
Create this list under ecommerce
Remember to change the default ‘user’ option to session as you want revenue in a single session, rather than cumulative for a user
Smart lists are a pre defined option on the first screen after you click to create a remarketing list, so they are super easy to make!
It doesn’t matter what you set the list duration for as Analytics updates the list daily depending on performance
If you know someone’s purchase history, you can make pretty well informed guesses about what they might purchase next!
RLSAs allow you to advertise on the products that you maybe wouldn’t always advertise on, because they have low conversion rates for example, because you know the user searching has already purchased a related product from you
For example Pandora might not usually bid on silver cleaning kits,
but they could use RLSAs to still bid on these items when the user searching is someone who has recently bought a silver bracelet from them
Create this under the conditions tab again, choosing product as the criteria, and then whatever the product is that you’re basing it on, in this case silver bracelet.
Apply the list to an ad group about silver cleaning cloths, using the target and bid setting, so the ads only show IF the user is on the remarketing list
Because you can create lists based on the brands people have bought in the passed, you can adjust bids on their future searches.
For example ASOS sell lots of different petite clothing brnds
They could increase their bids on anyone searching on their petite brands, if they know the user has previously purchased from one of their other petite brands, because they’re more likely to buy from a petite brand again
Create this list under ‘conditions’ and choose ‘product brand’ as the criteria
This tactic is a bit more of an advanced version of ‘increase bid for anyone who visited your site but didn’t convert’
You can increase bids for people searching who completed a micro goal, such as viewing a key page or staying on the site for over ten minutes, but who have not yet completed your macro conversion (like purchasing or signing up)
Because they’ve completed a micro goal, it’s an indication that they are more likely to go on and complete a macro goal, and aren’t one of the people who have simply changed their mind
This means the user is more qualified than simply any user who visited the site but didn’t convert, because they completed a micro goal which shows a stronger likelihood of the conversion being completed
If you don’t have a mico goal being tracked such as a whitepaper download or a mortgage calculator, then use a target time on site as a goal, for example anyone that spends more than 3 minutes on your Services page could be considered to have completed a micro goal and expressed interest.
Create this list under the conditions tab again
Select the micro goal so the user has completed it at least once
Select the macro goal so there are zero completions
Make sure you’ve changed to users rather than sessions or hits, because the user might have performed the goal in another session so it doesn't matter about a particular session, it matters overall as a user
In this next section I’ll share some of the common questions I get asked about RLSAs, or things I wish I had know before I used them!
Using RLSAs with conversion optimiser
If you apply an RLSA list to an ad group using conversion optimiser, target CPA, or target ROAS bidding strategies, it will use the predicted performance of the list audience to make bid adjustment accordingly and ignore any manual bid adjustments you’ve set.
If you apply RLSAs to an ad group using enhanced CPC, the enhanced CPC bid adjustments will occur on top of any manual RLSA bid adjustments you have applied.
If you’re applying multiple RLSA lists to an ad group which uses an automated bidding strategy that I have mentioned, then make sure that there is no overlap on your lists, otherwise the automated strategy gets confused!
If in doubt, only apply one list per ad group if you are using one of these features
Remember to consider that RLSA bid adjustments behave just like all other bid adjustments and stack on top of each other,
So if you have location, device or scheduling bid adjustments, Google will start with the lowest bid adjustment and multiply your base bid by that, then they’ll take whatever the result it and apply your next lowest bid multiplier to that (not your original base bid), until they eventually apply the highest bid multiplier to the already high new bid.
The most your bid will ever be increased by is 900% even if the multipliers would have it increase further
You can use lists with longer durations, but Google will make those users not eligible on the lists once 180 days is reached
Remember to update your privacy policy to state that you’re using cookies for remarketing.
Remember that lists need at least 1000 active users before they can be used for RLSAs
List duration? 540 days?
limit of 2000 Remarketing Audiences per Analytics account
The In-Market Segment dimension is not available for Remarketing Audiences.
The Days Since Last Visit metric is not available for Remarketing Audiences.
Get started today!
Even if you don’t have time to come up with a full blown RLSA strategy, create the lists and apply them to your campaigns so they can start gathering performance data
Then you when you do have time, they’re ready to go!