Google Analytics Data Insights (part 1+part 2)
Satechi – Google Analytics Data Insights
Part 1: Audience and user profiling
➢ Demographics profile:
[1]: over 58% of users who convert are of 25 to 44 years old
[2]
[1]
[3]
[4]
[2]: 18-24 is the 3rd largest bucket (with over 26% of total transactions)
[3]: outstands that users of 55-64 ages have 2nd best (over 40% above the average) ecommerce
conversion rate
[4]: even though being the smallest group, users of 65+ have the highest conversion rate
(over 2x the average CVR)
[5]: over 70% of users who purchase are males
[6]: currently small, but valuable target segments are females 55-64 (with the 2nd highest
CVR and value per user) and males 65+ (with the highest CVR and value per user among all).
Date range: August 1st – September 18th, 2017
1
Affinity categories of ALL users who purchased:
Affinity categories of 55+ users who purchased:
Insight: 55-64 females and 65+ males with the above affinity categories (interests) are potentially
valuable target audience and can be reached using DSPs when demographics targeting is
available (Facebook, AdWords, DBM).
Date range: August 1st – September 18th, 2017
2
➢ Geo:
[1]: Over 40% of users are from the US and they drive over 50 of sales
[2]: Perspective markets are (paid search and paid social):
- New Zealand (over 2.7% CVR, ~70% above the average)
- Australia
- Singapore
Note: the other ‘opportunity’ countries are Indonesia, Mexico, Israel (not included here, data pull for
them are not large enough).
Date range: August 1st – September 18th, 2017
3
➢ Top 10 US regions:
Ecommerce
Conversion
Rate
Users
Sessions
Bounce
Rate
Transactions
California
9,091
13,191
45.31%
241
$21,258.90
1.83%
New York
4,467
6,165
45.19%
149
$15,353.48
2.42%
3.4%
Texas
3,560
5,008
46.39%
115
$10,282.44
2.30%
-1.7%
Florida
2,449
3,579
45.54%
83
$7,150.75
2.32%
-0.9%
Illinois
1,916
2,556
47.10%
57
$10,971.44
2.23%
-4.7%
Massachusetts
1,629
2,142
45.38%
64
$5,858.62
2.99%
27.8%
New Jersey
1,487
2,015
45.46%
67
$13,212.09
3.33%
42.3%
Georgia
1,372
1,946
47.33%
44
$2,969.02
2.26%
-3.4%
Washington
1,311
1,664
48.80%
31
$1,951.11
1.86%
-20.5%
Pennsylvania
1,232
1,654
45.16%
38
$2,355.66
2.30%
-1.7%
Region
Revenue
CVR vs.
average
-21.8%
[1]: New Jersey has the highest conversion rate (of 3.33%), California – the lowest CVR (of 1.83%)
among top 10.
➢ Devices:
[1]: Over 60% of users browse the site using desktop (laptop) devices. Over 70% of transactions
(revenue) takes place on desktop
[2]: Mobile conversion rate is 55% lower of that on desktop (which is normal, seen industry-wide).
Note: performance of different browsers and devices will be also analyzed under ‘CVR
Optimization’ section.
[3]: Users visiting on desktop are more valuable (higher AOV and value per user) -> max.
affordable CPCs (CPMs) can be higher when targeting desktop devices.
Date range: August 1st – September 18th, 2017
4
Part 2: Traffic acquisition
➢ Channels:
[1]
[1]: Over 42% of traffic is organic (with ~98% of google / organic of the channel).
However, the CVR is below the average (at 1.30%) and ~60% lower than that of e.g. cpc (paid
search). Usually, the CVR of organic traffic is above the average (and one of the highest among all
channels (except for direct and email).
[2]
[2]: Checkout abandonment of the organic traffic is over 80% (vs. about 60% from paid search).
Recommendations:
1. If Google search console is setup, to analyze the most popular organic keywords (NA in
GA) and/or GSC with GA (to potentially SEO optimize the site for more relevant keywords).
2. Make sure the error pages are replaced with the redirect to the relevant product pages (or
Home page, if there are no such pages).
Date range: August 1st – September 18th, 2017
5
[3]: Direct traffic – 3rd largest channel.
Recommendation: to minimize the error pages (over 50% of which are from Direct) by using the
redirects (and eventually, such pages should go away over time).
[4]: Referral is the 4th traffic channel volume-wise (over 6% of traffic) with the conversion rate of
2.20% (~40% above the average).
Top referrals are (sorted by transactions):
Recommendation: to maximize the exposure (where possible) on the following referrals (as they
have high CVR and value per user):
flipboard.com
upgradedreviews.com
couponchief.com
shoppirate.com
dontpayfull.com
dealscove.com
yangcanggih.com
dealspotr.com
Date range: August 1st – September 18th, 2017
6
gearinstitute.com
iphonelife.com
harpersbazaar.com
gizmodo.com
[5]: Share of social is about 4% of traffic and conversion rate of 0.65%
Top social networks by countries:
Naver (South Korea) – potentially consider running/testing naver ads
Instagram (Brazil)
Facebook (Canda, France, Philipines)
(the space is left blank intentionally)
Date range: August 1st – September 18th, 2017
7
[6]: Paid search is the 2nd largest channel (by traffic volume) and 3rd by revenue.
There is (not set) uncategorized campaign showing in GA under ‘AdWords’ traffic:
A. There is another AdWords account used (which is not linked to the current GA property).
Link it to GA then?
B. Are there links with google / cpc UTMs used within non-AdWords campaigns?
➢ Performance by campaign:
Campaign
Shopping - all products - Target ROAS US
Shopping - CA
Shopping - AU
Shopping - all products - low bids - US
Shopping - NZ
Shopping - SG
Grand Total
Cost
Revenue
ROAS
Clicks
$6,536.8
$1,440.0
$1,054.7
$585.5
$119.6
$57.3
$9,794.0
$44,857.3
$5,054.3
$7,122.9
$7,722.4
$415.9
$1,076.0
$66,248.9
686.2%
351.0%
675.3%
1318.9%
347.8%
1877.9%
676.4%
18,234
5,074
2,497
4,-,131
Avg.
CPC
$0.36
$0.28
$0.42
$0.12
$0.60
$0.18
$0.31
Outperforming campaigns are (ROAS above the average):
Shopping - SG
Shopping - all products - low bids - US
Shopping - all products - Target ROAS - US
Under-performing campaigns are (with ROAS below the average):
Shopping - AU
Shopping - CA
Shopping - NZ
Note: ROAS is calculated as revenue/cost.
Date range: August 1st – September 18th, 2017
8
➢ Performance by ad group:
Outperforming ad groups:
Ad Group
all products
all products
all products - low bids
Product Type | usb-c
Campaign
Shopping - SG
Shopping - all products - Target
ROAS - US
Shopping - all products - low bids US
Shopping - AU
ROAS
1877.9%
1467.1%
1318.9%
883.1%
Underperforming ad groups:
Ad Group
Product | Aluminum Type-C Pro Hub
Adapter
all products - (excl satechi brand)
all products
all products
Aluminum Type-C Pro Hub Adapter
Campaign
Shopping - AU
Shopping - all products - Target
ROAS - US
Shopping - CA
Shopping - NZ
Shopping - CA
ROAS
643.7%
551.1%
390.8%
347.8%
330.4%
Recommendations:
1. To optimize the underperforming campaigns/ad groups (adjust the bids against the
higher ROAS).
2. Consider applying bid adjustment per hour of day depending on hour of day (ad
scheduling) since the performance (conversion rate) varies (note the below table –
column ‘% variance’):
Date range: August 1st – September 18th, 2017
9
Hour
Users
-
Total:
-,161
1,505
1,732
1,940
2,023
2,122
2,164
2,151
2,120
2,036
1,978
1,956
1,817
1,760
1,535
1,-,077
New
Users
Sessions
Transactions
-,320
1,666
1,920
2,124
2,256
2,348
2,401
2,350
2,362
2,252
2,241
2,183
2,028
1,964
1,717
1,395
1,-,869
-
-,148
1,348
1,480
1,567
1,644
1,712
1,631
1,670
1,585
1,530
1,498
1,404
1,361
1,-,043
Ecommerce
Conversion
Rate
Revenue
$1,061.8
$615.0
$570.2
$679.2
$1,089.1
$1,729.7
$3,809.4
$3,234.5
$2,531.3
$2,803.9
$3,153.7
$5,307.3
$2,926.0
$5,399.3
$3,586.7
$4,111.8
$4,864.9
$3,751.3
$4,144.9
$3,690.8
$3,253.8
$2,273.3
$1,582.8
$1,394.4
$67,564.9
2.00%
1.48%
1.78%
1.65%
2.43%
2.69%
2.50%
2.16%
1.67%
1.74%
1.55%
2.73%
1.67%
2.98%
2.03%
2.62%
2.81%
2.11%
2.76%
2.39%
2.33%
2.15%
1.82%
1.75%
2.23%
% variance
-10%
-34%
-20%
-26%
9%
21%
12%
-3%
-25%
-22%
-30%
22%
-25%
34%
-9%
17%
26%
-5%
24%
7%
4%
-4%
-18%
-22%
*Timezone: PST (GMT -7:00)
3. Apply bid adjustments by device (‘Suggested bid adjustment’ column) by campaign:
Campaign
Shopping - all
products - Target
ROAS - US
Shopping - all
products - Target
ROAS - US
Shopping - all
products - Target
ROAS - US
Device
Current bid
adjustment:
Cost
CPC
Ecommerce
Conversion Rate
Revenue
ROAS:
Suggested
bid
adjustment:
Computers
--
$4,404.8
$0.42
3.08%
$29,823.5
677.1%
Mobile
devices with
full browsers
--
$1,757.0
$0.27
2.18%
$13,383.5
761.7%
13%
Tablets with
full browsers
--
$375.0
$0.31
1.77%
$1,650.4
440.1%
-35%
$6,536.8
$0.36
2.63%
$44,857.3
686.2%
2%
Shopping - CA
Computers
--
$886.4
$0.30
1.33%
$3,752.1
423.3%
-37%
Shopping - CA
Mobile
devices with
full browsers
--
$501.3
$0.26
0.66%
$1,302.2
259.8%
-62%
Shopping - CA
Tablets with
full browsers
--
$52.3
$0.26
0.00%
$0.0
0.0%
$1,440.0
$0.28
1.00%
$5,054.3
351.0%
Date range: August
1st
– September
18th,
2017
-48%
10
Shopping - all
products - low
bids - US
Shopping - all
products - low
bids - US
Shopping - all
products - low
bids - US
Computers
20%
$378.1
$0.15
2.38%
$4,606.9
1218.3%
80%
Mobile
devices with
full browsers
-30%
$157.2
$0.08
1.31%
$2,213.0
1408.0%
109%
Tablets with
full browsers
10%
$50.2
$0.15
2.27%
$902.5
1796.7%
166%
$585.5
$0.12
1.89%
$7,722.4
1318.9%
Shopping - AU
Mobile
devices with
full browsers
--
$479.8
$0.40
1.67%
$2,669.2
556.4%
-18%
Shopping - AU
Computers
--
$522.1
$0.45
2.99%
$4,210.3
806.4%
19%
Shopping - AU
Tablets with
full browsers
--
$52.9
$0.39
0.51%
$243.4
460.5%
-32%
$1,054.7
$0.42
2.19%
$7,122.9
675.3%
Shopping - SG
Mobile
devices with
full browsers
--
$28.2
$0.19
0.87%
$356.3
1261.5%
87%
Shopping - SG
Computers
--
$25.7
$0.18
3.23%
$719.8
2805.0%
316%
Shopping - SG
Tablets with
full browsers
--
-50%
$3.4
$0.20
0.00%
$0.0
0.0%
$57.3
$0.18
1.84%
$1,076.0
1877.9%
Shopping - NZ
Computers
--
$93.6
$0.64
2.40%
$415.9
444.2%
-34%
Shopping - NZ
Mobile
devices with
full browsers
--
$22.4
$0.52
0.00%
$0.0
0.0%
-50%
Shopping - NZ
Tablets with
full browsers
--
$3.5
$0.39
0.00%
$0.0
0.0%
-50%
$119.6
$0.60
1.76%
$415.9
347.8%
Note: the above ‘Suggested bids’ are calculated against the average ROAS of 675%.
Areas to expand:
1.
2.
3.
➢
➢
➢
Consider contextual advertising
Bing (shopping ads and contextual)
Dynamic remarketing (given the high cart/checkout abandonment rates):
Products viewed (but not purchased)
Products added to cart (but not purchased)
Products checked out (but not purchased)
Platforms to consider for dynamic remarketing: Criteo, FB, AdWords, AdRoll.
Date range: August 1st – September 18th, 2017
11