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Understanding the Influence ofComparison Shopping Engines
Internet World, 30th April 2008
CONFIDENTIAL
Agenda
• Why should you care about CSEs?
• How do CSE’s work?
• The CSE landscape
• CSE 1.0
• CSE 2.0
• Understanding the True Influence
• Common CSE pitfalls
• Key Takeaways
• Q+A
2
CONFIDENTIAL
ChannelAdvisor and CSEs…
3
CONFIDENTIAL 4
Why Should You Care About CSEs?
CONFIDENTIAL 5
E-Commerce – Large and Growing 20% Year over Year
• Jupiter Research Data US Retail Forecast 11/07 and European Retail Forecast 8/07
CONFIDENTIAL 6
Online E-Commerce Channels Growing in Importance
• FBR Research based on publicly available Gross Merchandise Volume (GMV) Information. Also corroborated by ChannelAdvisor’s real-world data.
• More consumers shopping online via search, comparison shopping engines, marketplaces.
• Today up to 75% of sales for an internet retailer is driven by online channels.
CONFIDENTIAL
E-commerce Everywhere
0% 20% 40% 60% 80%
Search engines
Retailer/seller Web sites
Brand Web sites
Customer reviews
Expert reviews
CSEs
Specialty sites
Online images/picture search
Blogs
2005 2007
Which of the following types of online tools/services, if any, do you usually use when you conduct online research before making a purchase?
Source: iCrossing
CONFIDENTIAL
Acquisition, Retention, and CLV
Average cost-, value-, and profit-per-order, by marketing tactic:
Source: Forrester Research, Cantor Fitzgerald
Avg per order metrics
Marketing Tactic Cost Value "Profit"
E-Mail to house list £3.29 £56.06 £52.77
SEO £5.39 £49.37 £43.98
Paid Search £13.48 £57.30 £43.83
Affiliate Programs £8.80 £46.53 £37.73
Blogs/Message Boards £2.02 £35.27 £33.25
CSEs £15.47 £45.96 £30.49
Traditional portal deals £22.27 £49.41 £27.14
New portal Deals £6.25 £20.00 £13.75
Banner Ad £36.22 £45.46 £9.24
E-Mail to prospecting list £26.48 £33.21 £6.73
CONFIDENTIAL
Other important CSE datapoints
• Forrester – 75% of online shoppers influenced by CSE
• ChannelAdvisor – some customers see CSE as large as 40% of GMV
• Comscore: January 08 UK:
• 33m unique internet users
• 17m visited CSEs
• 51% reach
9
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
55%
60%
% CSEs
CONFIDENTIAL 10
How do CSE’s Work?
CONFIDENTIAL
Comparison Shopping Engines
• How it works
• You pay for traffic on a per-click basis (called CPC in the industry)
• Per-click determined by category and merchant auction
• Traffic driven to your e-commerce site for potential conversion
11
£X/click
CONFIDENTIAL
How do CSEs get traffic?
• Direct navigation
• This is a relatively small amount of traffic
• CSEs are, in general, not sticky
• SEO
• Generally strong results in natural search results, strong Page Rank
• Portal/Search Partner
• AOL, eBay, MSN Shopping, etc.
• Paid Search
• A huge driver of traffic for these sites
• Often not high placement on very broad terms
• Effectively reselling traffic to merchants
• Sometimes sell it back to Google and Yahoo via AdSense / Yahoo Publisher Network
• Network Partner sites (super-affiliates)
• Shopping.com ads also appear on eBay, Dealtime,
• PriceGrabber powers AOL and CNET
CONFIDENTIAL 13
The CSE Landscape
CONFIDENTIAL
Understanding CSE 1.0 and CSE 2.0
• CSE 1.0
• Vintage <2000
• Product catalog driven
• Usually heavily electronics oriented
• CPC
• Stagnant, little to no changes since 2006 timeframe
• Primarily acquire traffic from paid-search
• CSE 2.0
• Vintage >2006
• Variety of models to enhance experience/business
• Reviews (Ciao)
• Social (Crowdstorm/Facebook)
• Traffic/fun (Jellyfish)
• BizModel (CPA – Jellyfish)
• Comprehensive
• Vertical orientation (Mobile-phones)
• Local (Abcaz)
• Integrated checkout (shop.com)
14
CONFIDENTIAL 15
CONFIDENTIAL
Comparison Shopping Engine Share Data
16
Rank Comparison Shopping Aug-2007 Sep-2007 Oct-2007 Nov-2007 Dec-2007 Jan-2008 Jan Share
1 Shopping.com Sites 7,133 7,146 8,112 7,442 6,867 6,235 36%
2 Ciao Sites 3,073 3,111 3,371 3,770 3,435 3,685 22%
3 Shopzilla.com Sites 3,412 3,382 3,619 3,770 3,711 3,576 21%
4 ValueClick Sites 1,209 1,045 1,928 2,532 3,489 3,436 20%
5 Kelkoo Sites 3,903 3,304 3,200 3,592 3,751 2,858 17%
6 Shopping.net Ltd 2,130 1,927 2,115 2,046 1,942 2,197 13%
7 Nextag.com Sites 1,811 1,731 1,912 2,262 2,408 2,075 12%
8 MSN Shopping 1,251 1,185 1,491 1,867 1,659 1,349 8%
9 Shop.com Sites 1,414 1,189 1,591 1,486 1,560 1,333 8%
10 PriceGrabber 1,230 1,315 1,361 1,602 1,527 1,301 8%
11 COMPARESTOREPRICES.CO.UK 1,347 1,206 1,190 1,521 1,298 1,259 7%
12 Dooyoo Group 1,281 1,083 1,168 1,097 1,023 1,113 7%
13 Google Product Search 757 778 637 710 1,170 1,110 6%
14 GOCOMPARE.COM 530 586 593 622 465 979 6%
15 Twenga N/A N/A N/A N/A N/A 760 4%
16 DoorOne Sites 177 159 281 477 546 741 4%
17 Kelkoo Shopping on Yahoo! 494 551 621 729 626 678 4%
18 SHOP-FOCUS.COM 1,344 1,143 970 887 606 668 4%
19 Yahoo! Shopping 645 596 636 823 786 633 4%
20 MOBILE-PHONES.CO.UK N/A 240 439 525 456 512 3%
CONFIDENTIAL
• Jan 07: CSE 1.0:76%, CSE 2.0:24%
• Jan 08: CSE 1.0:71%, CSE 2.0:29%
Jul-2007 Aug-2007 Sep-2007 Oct-2007 Nov-2007 Dec-2007 Jan-2008 Jan Share
Total Internet : Total Audience 180,078 181,257 181,858 182,206 182,362 183,619 184,239 100%Rank Comparison Shopping Engine 62,654 64,166 64,146 67,856 72,318 77,127 71,543 38.83%
1 Yahoo! Shopping 18,027 17,844 19,700 22,664 27,625 30,615 26,927 37.64%2 Shopzilla.com Sites 21,983 21,644 22,272 23,569 25,023 26,524 24,210 33.84%3 Shopping.com Sites 19,358 19,694 18,475 20,081 21,080 21,612 20,249 28.30%4 ValueClick Sites 13,771 14,699 14,966 14,295 12,514 13,013 13,835 19.34%5 Google Product Search 4,663 4,314 3,476 1,041 1,337 11,933 10,409 14.55%6 Nextag.com Sites 7,415 7,796 7,572 8,030 8,791 9,071 8,510 11.90%7 Pronto.com 2,307 3,156 3,180 5,220 5,489 7,505 8,406 11.75%8 MSN Shopping 7,558 7,833 7,238 8,320 10,628 9,980 7,932 11.09%9 ShopLocal.com 8,731 9,686 10,856 10,564 14,323 11,766 7,217 10.09%
10 Become.com 1,958 2,281 2,356 4,385 4,215 5,110 5,641 7.89%11 Shop.com Sites 4,390 4,133 3,329 4,239 4,295 5,514 5,154 7.20%12 PriceGrabber 3,863 4,691 4,590 4,942 5,804 6,020 4,775 6.68%13 AOL Shopping N/A N/A N/A N/A N/A N/A 4,229 5.91%14 MySimon.com* 1,503 1,373 1,633 1,885 2,043 2,272 2,015 2.82%15 MonsterMarketplace.com 2,124 2,139 1,648 1,531 995 1,082 1,240 1.73%16 Buzzillions.com 231 280 388 428 710 734 703 0.98%17 Best-Price.com 1,584 1,378 1,571 1,692 1,629 1,198 682 0.95%18 dealnews.com Sites 424 467 405 504 922 912 681 0.95%19 SmartShopper.com 594 599 668 481 368 301 484 0.68%20 Ciao Sites 674 610 632 743 750 718 470 0.66%
CSE Share Data (US)
CONFIDENTIAL
CSE UK Market Status
• The CSE 1.0 sites either were developed by large companiesor have been bought
• Shopping.com/DealTime – eBay
• Shopzilla/BizRate – EW Scripps (rumored to be for sale)
• PriceGrabber - Experian (a subsidiary of GUS Plc) (rumored to be for sale)
• NexTag – Providence Equity Partners Inc.
• Kelkoo – Yahoo! (rumored to be for sale)
• CSE 2.0 activity: • Pronto (IAC), Smarter (MeziMedia) – acquired by ValueClick (pricerunner)
• Jellyfish acquired by Microsoft
• Recent trend toward “social shopping”• These sites currently generate a relatively small amount of traffic
• Potentially high conversion rate
• Low barrier to entry• ChannelAdvisor gets constant requests for new sites, both from clients
and the sites themselves
• Increase in niche sites over time
• Result: expect more to come!
CONFIDENTIAL 19
Understanding the True Influence
CONFIDENTIAL 20
CONFIDENTIAL 21
Common CSE Pitfalls
CONFIDENTIAL
Datafeeds for Beginners
• Each CSE has a ‘feed specification’
• Usually a CSV or XML file that includes required, recommended and optional information about your products
• Title, price, shipping info, tax info, EAN, model number, destination URL, image URL, etc..
• You have to FTP the information on a daily basis (or when you want updates sent to the engine)
• Datafeeds are tricky because:
• The specs change constantly
• If you get it wrong you can pay dearly
• It’s impossible to know what’s “really” required vs. optional vs. recommended
• Every engine is VERY different so you can spend a lot of time managing this as it goes up linearly with the number of engines you support
• E.g. 7 engines is 7 times the work of 1.
• The datafeed is typically how you manage ROI so that causes more complexity
22
CONFIDENTIAL
Common CSE Pitfalls
• Operational Complexities
• Feed changes
• Removal of non-performing products
• Updating of price information
• Updating of inventory (out of stocks/in stocks) information
• Site differences
• Surveys/reviews
• Lack of transparency
• Data: Impressions/CTR
• Behavior: Search versus browse
• Success factors: Which tactics are effective?
• Conversion rates
• Making sure your items are optimized/matched correctly
• Don’t underestimate the time or complexity
23
CONFIDENTIAL
Key Takeaways
• Opportunities
• Forrester – 75% of online shoppers influenced by CSE
• ChannelAdvisor – some customers see CSE as large as 40% of GMV
• Economics still ‘work’, niche sites highly effective
• Next wave of innovation coming with CSE 2.0 – are you ready?
• Google Product Search! Did I mention that it’s FREE?
• 50% of UK internet audience uses a CSE each month – they are strategic to getting mindshare
• Challenges
• Increased fragmentation
• Brand recognition
• Retailers “put off” by CPC model and increasing rate-cards
• ROI management is complex due to most engines not sharing cost data/allowing bidding
• Positional/landscape awareness non-existent