We have done a continuous - literally hour by hour search pattern analysis
between 0:00 hours, 27th November - midnight of 2nd December. There is
hardly any analysis on search trends during this period because of TG
holiday. Given the importance of CyberMonday (this year being VERY SPECIAL
for most retailers given the economy - quite literally was a historic Black
Friday and CyberMonday )- we thought of analysing the key patterns in search
traffic, purchases - value - time - number, keyword click price movements,
click to purchase conversion rates.
The analysis was done on 3 clients from totally different categories of
retail - large Speciality Food etailer, large Consumer Electronics retailer,
large Gifts retailer.
There were some very interesting findings.
Key Search Trends by category:
Electronics
- On 27th-30th Nov, search traffic spiked between 6am-8am EST and 12-2pm EST
and also 9pm-11pm EST (especially on 30th). (Reasoning: Maybe, people were
trying to find the best deals for CyberMonday)
- The click to purchase conversion rate increased on CyberMonday by 40%, CPC
to maintain a particular position increased by 20%, total traffic increased
by 30% (all numbers compared to rest of the days)
- Maximum purchases on CyberMonday happened between 10am EST-12 Noon EST
followed by 4pmEST-6pm EST (Comment: Expected online purchase times)
Summary:
- CyberMonday purchases seem to have happened after considerable "early
morning" and "late evening" research sessions
- The electronics online purchase happened as predicted during prime office
time
- The purchase intent of search queries was significantly higher than
normal on CyberMonday. (Higher Conversion Rate)
Specialty Food
- There were no remarkable traffic spikes like we saw in Consumer
Electronics on all days leading to the CyberMonday. However, on Cybermonday
there were huge spikes in traffic between 10AM-Noon EST, 5pm-7pm EST
- The traffic on Cybermonday was 133% higher than traffic on other days!
- The average order value was the same on all days, though
- The click to purchase - conversion rate - was 21% higher, surprisingly the
CPC was lower than normal by almost 15%! (Reason: This retailer has a BIG
BRAND name. Given the fact that there were no big differences in price after
the deep discounts offered, people preferred to buy from this retailer.
Also, I believe the CPC went down because of Google's algorithm of Quality
Score that gives greater credit to brand name firms such as this because
they draw more clicks than lesser known brands)
Summary:
- (Sounds funny but true) Online shoppers buy food online closer to their
meal time (lunch time/dinner time). This is a remarkably important point to
be noted in terms of "targeting ads" - timing ad listing displays and also
the message
- If the brand is strong, people dont mind paying 10%-15% MORE than they
would do for a lesser known brand
Gifts
- The largest traffic spike on both Cybermonday and 2nd Dec was between
9pm-11pm EST. There were spikes between 5pm and 8pm. (Question: Do people
search for and buy gift items like Teddy Bears after office hours?)
- Cybermonday traffic was up by 50% over regular traffic
- Average Order Value was actually 10% lower than other days
- The conversion rates were 21% higher
- The CPC was same as other days (again this is a very big brand name
retailer)
Summary:
- Online shoppers are more likely to shop for gift items like teddy bears at
night/evening hours
- Again, shoppers prefer to buy a "strong brand" (you gift a "brand" - not a
product/teddy bear)
Overall Summary:
- Searching pattern and shopping patterns vary from category to category
- Cybermondays on an average mean 50%+ more sales
- the search queries used on Cybermonday have stronger "purchase intent"
- Retailer brand seemed more important in "food and gifts" category than
electronics category (where, manufacturer brands are more important and it
becomes a price battle).
Sidenote: Comparative shopping engines would be better channels for consumer
electronics than food and gifts
As we dig deeper into the data we are sure to un-earth more interesting information on buyer behavior.
- Udayan Bose