Previously most of Gluten Free Pages research into the gluten free market has concentrated on the online gluten free market as data is regularly reliable and recent. However all previous research and analysis has centred on Google Broad search data.
To explain the difference in the data (broad, phrase, exact match), Google provides the ability to see data for anything in terms of Broad match, phrase match and exact match. It also uses these terms to set up adwords (pay per click online advertising) campaigns. You can also either personally search for things in their search engine using broad/ phrase/ exact match characteristics by using appropriate quotes and brackets.
Match type Significance to g-free market data
Broad match search data was used for GFP gluten free analysis because it included the full set of terms that people search for. In particular it was noticed in small markets (all countries below the top ten on a per capita basis), that using Google exact match would severely limit the data and knowledge that could be gained from the data sets.
For instances, China is an up and coming market. While this race may not be necessarily genetically pre disposed to celiac disease, the country has 1.3 billion people and potentially will either become a major importer or exporter of g-free products.
In broad match terms China regularly has 32 terms counted and a volume of 9,638 searches per month. In Exact phrase matches, China records only five gluten free associated terms and only 812 searches. As you can see the volume decreases by a factor of ten. Also the only terms included in Nov 2010 data are gluten (320), celiac disease (140); gluten free (110); celiac (46) and celiac disease (28).
This means that the analysis misses out on understanding (using broad match analysis) that China also searches for g-free associated terms such as: gluten free rolls; gluten free recipes; gluten diet etc.
It would appear that the reason is that Google only displays data that reliably is in excess of ten searches a month. If Broad match to Exact match is typically a factor of ten, that means any terms under 100 searches a month in Broad phrase match, would not be displayed for exact match data- and for many countries, this removes many long tail terms. The table below shows that the difference between broad and exact search volumes is approximately a factor of ten.
Table of Search Volume and Term number for Gluten Free Broad and Exact Match search queries
...................VOLUMES................................................TERM No...........................Vol/Term
............. ......Broad Vol......Exact Vol......... V Ratio...Broad...Exact.... T Ratio....V/T
UK................1,203,082......124,278.......... 9.7..........600........313..... 1.9........5.1
USA.............9,199,229.......796,432.......... 11.6.......793.........768..... 1.0........ 11.2
Australia....1,228,333........85,632............ 14.3........657.......263...... 2.5........ 5.7
Canada.......1,155,348.........97,599............ 11.8.......606.........266..... 2.3........ 5.2
Ireland.........110,972.........6,529.............. 17.0.......209.......28........ 7.5........ 2.3
China...........9,638...............812................. 11.9...... 32..........5........... 6.4........ 1.9
India............70,804............7,153..............9.9.......... 101........24........ 4.2........ 2.4
Brazil............65,367.............9,710 ............6.7.......... 32..........5........... 6.4........ 1.1
Germany......98,191............13,923........... 7.1........ 103........15........ 6.9........ 1.0
France.........151,135............10,065............15.0..... 82......... 10......... 8.2........ 1.8
Italy............47,405...............1,412 ............33.6........ 63......... 8........... 7.9........ 4.3
HIGH VOLUME COUNTRY Match Discussion
The top five gluten free countries analysed areAmerica, Australia, Canada, Ireland and UK.
Americais the only country in terms of Broad match terms that comes close to recording a full 800 terms for gluten free associated terms. The reason that it doesn't is that Google includes terms that it thinks are associated with g-free (because of its analysis of search pattern algorithms) but they are too disparate to be included in this analysis. These terms are ones such as: quinoa, 'ezekiel bread' and 'what is gout'.
For the top four countries, the ratio between broad and exact match volumes is close to TEN. This is both a factor of broad match 'multiple counting' for terms as well as in exact mode many of the phrases not having a large enough or consistent volume to be counted.
An example for the USA is that 'gluten' has a broad match volume of 2.24 million out of 9.9 million 'g-free associated' searches for Oct 2010. In EXACT MATCH mode, 'gluten' records only 49,500 searches out of 672,000 'gluten free associated' searches. You can see in broad match mode that 'gluten' accounts for about 25% of all searches, while in exact mode 'gluten' accounts for only about 7% of searches. This is because gluten is in broad match mode is counted multiple times for terms such as: gluten. gluten free, gluten free diets.
However, the ratio of broad to exact match volumes provide more information about the nature of the long tail keywords (multiple term, small volume). Notice that Australia has the highest ratio of Broad to Exact match volumes. This most likely means that the long tail search phrases make up a significant volume in the market, and that people have a more refined search habit.
Comparing UK, Canada and Australia they all have a similar volume of broad match terms however Australia has a significantly lower exact match volume (causing the higher broad to exact match volume ratio). While this may seem to indicate that the 'real' or exact searches in Canada and the UK make them a stronger market, later in this report it will be seen that Australia, even for exact match analysis, still records the highest 'celiac search' value per month - a measure of 'per capita' comparisons.
LOW VOLUME Match discussion
While the majority of countries have a broad to exact match volumes are typically around TEN some countries are substantially above or below this ratio. For instance in Europe, France(15) and Italy (34) are well above the ratio. Europe is a unique case for the online gluten free market because having a high population of Europeans (who are most susceptible to celiac disease) they would be expected to have a high per capita search value. This is why it remains a mystery that European countries generally have a relatively low 'celiac search' value.
On the graph below the leading northern European countries to be well above the celiac search curve (under performing). The table above also shows that France has a relatively high ratio of broad to exact TERM numbers of 8.2 (not its volume ratio). This suggests that while France has a low 'per capita' search value (especially compared to other high 'per capita wealth' countries) it has a relatively long tail of broad match keywords, showing that the market while relatively small, is still quite diverse.
The ratio of the broad to exact match 'Volume ratio' to the broad to exact 'Term ratio' for each country is a VERY good indicator of how the country is performing on a per capita or 'celiac search' basis. You can see that the leading 'celiac search' countries (UK, USA, Australia and Canada) tend to have the highest 'Volume ratio' to 'term ratio' ratio value. All of the four countries (except America) have aratio of around 5. The reason that the US doesn't fit this pattern is that because of the sheer size of the market (has nearly 80% of the global search volumes for g-free associated terms) its broad and exact term numbers are both near the maximum value of 800 causing this ratio to be near 1.0. The other leading countries have broad to exact 'TERM NUMBER' ratios that are closer to 2.0.
Of the countries that have under 2,000 exact searches per month, the ratio of the volume ratio to the Term ratio provides insight into their markets. For instance all the leading gf countries have a ratio of near five, while the lower countries usually record a ratio of between 1 and 2. Any anomalies to this 'rule' suggests a market behaving different to its like peers.