Analysis into the relationship between share of search queries within a category and market share within this that category. Categories analysed - utilities, health insurance and automotive.
Content Marketing: How To Find The True Value Of Your Marketing Funnel
Share of Search and Market Share - Ben Shepherd
1. Share of Search
A Practical Look at how it relates to Market Share
Ben Shepherd http://www.linkedin.com/in/shepherdieu
2. The original hypothesis
Source: https://www.contagious.com/news-and-views/share-of-search-the-new-most-important-metric-for-brands-google
Ben Shepherd http://www.linkedin.com/in/shepherdieu
4. Why is understanding this important?
Because it comes from Les Binet.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
5. Binet’s work is important and highly insightfgul,
yet unfortunately commonly taken out of context
and used lazily by others
Ben Shepherd http://www.linkedin.com/in/shepherdieu
6. Binet’s view is share of search can be a predictive
metric on future share of market
Source: https://www.contagious.com/news-and-views/share-of-search-the-new-most-important-metric-for-brands-google
Ben Shepherd http://www.linkedin.com/in/shepherdieu
7. Binet is pragmatic that this is an area
that is worthy of further investigation
Source: https://www.contagious.com/news-and-views/share-of-search-the-new-most-important-metric-for-brands-google
Ben Shepherd http://www.linkedin.com/in/shepherdieu
8. I wanted to look at the relationship between
share of search and market share
• As an indicator of current market share
• Month by month movements
• Delayed movements
• And whether there’s any other external variables that seem to
impact a market.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
9. Categories investigated
• Energy -
Utilities
• Health
Insurance
• Automotive –
New Car
Sales
Ben Shepherd http://www.linkedin.com/in/shepherdieu
10. All data is from Australia.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
14. Comparing Market Share (SOM) to share of
search (SOS) across energy retailers
Brand SOM SOS Percentage Points Difference
Origin Energy 32% 28% -4%
AGL 24% 30% 6%
EnergyAustralia 18% 18% 0%
Ergon Energy 11% 5% -5%
Alinta Energy 6% 10% 4%
Red Energy 5% 7% 2%
Aurora Energy 4% 2% -2%
Top 7 energy retailers – Share of Search and Market Share
(relative to top 7 only) Last 12 months
• Market leaders AGL and Origin Energy are
within a 70-80% accuracy range
• Ergon and Alinta are outliers – Alinta has a
much higher SOS than market share, and
Ergon the opposite.
• It needs to be noted that AGL is a highly
traded stock on the ASX and this would
have some influence on its search volume.
Source: Google Trends, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
15. Limitations on Energy as a category to analyse
• Weekly or monthly share of sales data is not publicly available
• Looking at energy there is a reasonable link between current
market share and current search share.
• No energy retailer appears to have seen a spike either in
volume or share in a material way over the last 12 months, that
could influence share in 2021 or beyond.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
17. Significant health insurance search volume is driven by
2 companies over the last 12 months – Bupa and
Medibank
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medibank: (Australia) AHM: (Australia) Bupa: (Australia) HBF: (Australia)
HCF: (Australia) NIB: (Australia) GMHBA: (Australia) Australian Unity: (Australia)
Source: Google Trends, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
18. Health Insurance – search share by week
Ben Shepherd http://www.linkedin.com/in/shepherdieu
0%
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45%
18/8/19 18/9/19 18/10/19 18/11/19 18/12/19 18/1/20 18/2/20 18/3/20 18/4/20 18/5/20 18/6/20 18/7/20
Health Insurance - search share by week
medibank: (Australia) AHM: (Australia) Bupa: (Australia) HBF: (Australia)
HCF: (Australia) NIB: (Australia) GMHBA: (Australia) Australian Unity: (Australia)
19. Comparing Market Share to share of search (SOS)
across Health Insurance retailers
Top 7 health insurance retailers – Share of Search and Market
Share (relative to top 7 only) Last 12 months
• Market leaders Medibank and Bupa are within a
10-15% accuracy range.
• The Medibank figure is a sum of both Medibank
and AHM (AHM is owned by Medibank)
• Bupa Search Share is significantly higher than
market share – unanswered question is why
• All other competitors are reasonably close in
terms of market share and share of search.
• The category seems to have externally led
fluctuations in volume – September, January,
March and June peaks, with drops in July and
also around Christmas.
Brand Market Share SOS Perentage Points difference
Medibank 31.40% 28% -3.4%
BUPA 30.70% 35% 4.3%
HCF 12.51% 12% -0.51%
NIB 9.9% 11% 2.1%
HBF 9.10% 8% -1.1%
Australian Unity 3.39% 4% 0.61%
GMHBA 2.80% 2% -0.80%
Source: Google Trends, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
20. Limitations on Health as a category to analyse
• Weekly or monthly share of sales data is not publicly available
• Looking at health insurance there is a reasonable link between
current market share and current search share.
• No health retailer appears to have seen a spike either in
volume or share in a material way over the last 12 months, that
could influence share in 2021 or beyond.
• Health Insurance as a category is seeing significant structural
headwinds, these could be influencing search behavior.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
22. Automotive is a good category to analyse
• Monthly sales data is available.
• Highly considered purchase.
• Internet is commonly accepted as primary research source of
information.
• 9 competitors to look at closely.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
23. Automotive is a remarkably stable category when
it comes to search behaviour
0%
5%
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25%
January February March April May June July August September October November December
2019 – Share of Search across selected 9 brands
Toyota: (Australia) Mazda Motor Corporation: (Australia) Hyundai Motor Company: (Australia)
Mitsubishi Motors: (Australia) Ford Motor Company: (Australia) Kia Motors: (Australia)
Nissan: (Australia) Volkswagen: (Australia) Holden: (Australia)
Source: Google Trends, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
24. Automotive sales tend to peak industry wide as
opposed to specific OEM’s
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January February March April May June July August September October November December
2019 - New Car Sales by Month by brand
Toyota: (Australia) Mazda Motor Corporation: (Australia) Hyundai Motor Company: (Australia)
Mitsubishi Motors: (Australia) Ford Motor Company: (Australia) Kia Motors: (Australia)
Nissan: (Australia) Volkswagen: (Australia) Holden: (Australia)
Source: VFACTS, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
25. And market share remains reasonably stable on
the whole across 2019
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January February March April May June July August September October November December
2019 - Market Share by Month - Selected Auto Brands
Toyota: (Australia) Mazda Motor Corporation: (Australia) Hyundai Motor Company: (Australia)
Mitsubishi Motors: (Australia) Ford Motor Company: (Australia) Kia Motors: (Australia)
Nissan: (Australia) Volkswagen: (Australia) Holden: (Australia)
Source: VFACTS, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
26. Comparing Market Share (SOM) to share of
search (SOS) across Automotive manufacturers
Brand SOM SOS Difference (percentage pts)
Toyota 27.76% 22% -5.6%
Mazda 13.17% 11% -1.9%
Hyundai 11.62% 8% -3.7%
Mitsubishi 11.23% 7% -3.8%
Ford 8.54% 20% 11.0%
Kia 8.30% 6% -2.6%
Nissan 6.82% 10% 3.0%
Volkswagen 6.74% 3% -3.9%
Holden 5.82% 13% 7.5%
Top 9 Automotive manufacturers – Share of Search and Market
Share (relative to top 9 only) 2019 full year
• Ford and Holden are outliers – massively
inflated search share compared to market
share.
• Kia, VW, Hyundai and Mitsubishi are
significantly under represented in search
of search compared to market share.
• For automotive an annualized view of
share of search compared to share of
market does not appear to be that useful.
• For the record, 2018 search share by
month was very similar to the same
periods in 2019 – very minimal movements
if any.
Source: VFACTS, Google Trends, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
27. What if we looked closer at the monthly
changes by OEM?
Ben Shepherd http://www.linkedin.com/in/shepherdieu
33. So what does it all mean?
• It’s hard to tell.
• For one, a sizeable chunk of search traffic for many of these brands
could be existing owners performing ‘navigational search’ to book a
repair.
• Automotive has good data to analyse but the relationship between
search share and market share is difficult to find.
• Even looking back to 2018 there doesn’t appear to be 12+ month
lagging benefits from an increased search share (that would yield in
market sales in 2019) as the search dynamic remains extremely
stable.
• When there is an auto who has seen big changes in sales across
months in 2019 (such as Kia and Mitsubishi), there doesn’t seem to
be any previous search share data that suggests these are linked.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
34. Moving forward
• Analysing share of search is a prudent metric for any marketer
• Be cautious about what it tells you about 1. future events, 2. efficacy of current
campaigns, 3. consumer sentiment
• From the categories analysed, search share and volume is much more stable
than advertising and marketing spend/activity – which suggests external
variables have significant impact on how consumers interact with the category.
• Do not fall victim to buying more paid search to boost share – share of search is
unrelated to paid search spending, it’s an indicator of salience and recall when
it comes to someone using a search engine.
• It cannot capture traffic that comes through sources other than search – for
instance direct traffic, or referred through non search sources. Having robust
data on this would be helpful for future analysis.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
35. What about another data source? Can it tell
us anything around what drives automotive
purchases (and give us some clues as what
may influence other categories?)
Ben Shepherd http://www.linkedin.com/in/shepherdieu
36. Do these two sources look linked? The blue is new car
sales per month for the 9 earlier selected brands.
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January February March April May June July August September October November December
Total Sales - Selected Brands
Series1 Series2
Source: RMR ANZ consumer confidence, Google Trends, extracted 15 August 2020
Ben Shepherd http://www.linkedin.com/in/shepherdieu
37. Maybe.
The other data series is the monthly
ANZ/Roy Morgan consumer confidence
index.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
38. Let’s look at the ANZ/RMR index and sales
volume by OEM, and look at the index
against sales volume, and the index against
market share.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
46. What does it tell us?
• Toyota and VW appear unimpacted by the economy – they keep
their share and do not appear to be more attractive in a good/bad
economy.
• Mazda appears to be impacted negatively in a bad economy, and
positively impacted in a good one. Would suggest for buyers Mazda
is a brand they will buy if they’re confident economically.
• Mitsubishi, Nissan and Kia are impacted positively in a bad
economy, and impacted negatively in a good one. This suggests
when economic confidence is low, buyers may ‘trade down’ to these
brands, and when confidence is high, they will trade up to brands
like Mazda.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
47. The RMR/ANZ confidence index is an indicator
worth more investigation in advertising and media
• From analysis completed, there are reasonable links between the
consumer confidence index and sales and share movements in both
automotive and also consumer finance (credit cards, personal loans).
• It isn’t a sign to focus advertising activity only on high confidence times,
or confidence spikes, but it is a data point which suggests that some
brands are more impacted by external economic variables than others.
• In automotive, it appears some brands are, in fact, beneficiaries of lower
economic sentiment.
• For marketers and agencies, close following of the RMR/ANZ index could
help inform communications dependent on economic confidence at the
time – perhaps to cover more price led features in lower economic
confidence periods, and more feature and quality benefits in higher
economic periods.
Ben Shepherd http://www.linkedin.com/in/shepherdieu
48. RMR/ANZ data is free and easily available
• For weekly data, just visit
http://www.roymorgan.com/morganpoll/consumer-
confidence/consumer-confidence
• Monthly can be found back to 2010 here -
http://www.roymorgan.com/morganpoll/consumer-
confidence/roy-morgan-business-confidence
Ben Shepherd http://www.linkedin.com/in/shepherdieu
49. If you enjoyed this, I have a book coming out in
late 2020, it’s called …
Advertising & Media
Everything you wanted to know about …
… but were too afraid to ask.
Ben Shepherd http://www.linkedin.com/in/shepherdieu