The Role of Search Engine Optimization in Search Rankings

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The Role of Search Engine Optimization in Search Rankings Zsolt Katona (with Ron Berman) TELECOM ParisTech September 15, 2010 The Role of Search Engine Optimization in Search Rankings 1 / 32

Introduction Search Advertising Web sites bid for sponsored links on the results page of a search engine. Sponsored links are assigned to sites based on their (pay-per-click) bids for specific keywords. Over 11% of advertising money is spent online, over 40% of that on search advertising Search Engine Optimization Webites can also affect their position on the organic list. Black hat vs. White hat SEO is over a billion $ business The Role of Search Engine Optimization in Search Rankings 2 / 32

SEO Example - What Visitors See The Role of Search Engine Optimization in Search Rankings 3 / 32

SEO example - What Robots See The Role of Search Engine Optimization in Search Rankings 4 / 32

Google Bombs The Role of Search Engine Optimization in Search Rankings 5 / 32

Google Bombs The Role of Search Engine Optimization in Search Rankings 6 / 32

Common Black Hat SEO techniques Content spam Cloaking Keyword stuffing Hidden or invisible unrelated text Doorway pages Scraper sites Link spam Link farms Hidden links Spam blogs UGC spam Comment spam Wiki spam The Role of Search Engine Optimization in Search Rankings 7 / 32

Research Questions What are sites incentives to invest in SEO? How does SEO affect the results? Do (which) sites profit from it? What is the relationship with sponsored links and search engine revenues? How does searcher behavior matter? Conventional wisdom: SEO is good for low quality sites, bad for SE and consumers. The Role of Search Engine Optimization in Search Rankings 8 / 32

Related Literature Search Advertising Edelman, Ostrovsky and Schwarz (2007), Varian (2007),Athey and Nekipelov(2010) Chen and He (2006) Jeziorski and Segal (2009) Goldfarb and Tucker (2008), Rutz and Bucklin (2007) Yao and Mela (2009), Ghose and Yang (2009) Role of organic links Katona and Sarvary (2010), White (2009), Xu, Chen and Whiston (2009), Yang and Ghose (2010) SEO: Xing and Ling (2006), Sen (2005) Non-desirable behaviors Wilbur and Zhu (2009a,2009b) All-pay auctions Hillman and Riley (1987) Barut and Kovenock (2008), Baye et al. (2006), Clark and Riis (2008) The Role of Search Engine Optimization in Search Rankings 9 / 32

Model Players: Search Engine (SE), n Web sites Site i has relevance (quality) q i with q 1 q 2... q n. Relevance: consumers are satisfied with probability q i if clicking on link i. SE displays k organic links and l sponsored links. SE places the best links on the organic side and maximizes revenue on the sponsored side. Total traffic (T ) is an incerasing function of expected consumer utility f (U). Consumers: with probability ψ, click on the best link (conscientious clicking) otherwise, click on the ith organic link (i) with prob γβ i and on the jth sponsored link with prob (1 γ)β j (random clicking) Site i gets utility R i (t) from t visitors, where r i () = R i () is decreasing. The Role of Search Engine Optimization in Search Rankings 10 / 32

Model cont d SE cannot measure q i perfectly, error term: ε i (i.i.d., centered around 0) First, SE assigns (public) scores s S i = q i + σε i. After observing these, sites can invest in SEO: b i. Final scores: s F i = s S i + αb i. Effectiveness of SEO: α (cost: 1 α ). SE orders sites according to s F i. The Role of Search Engine Optimization in Search Rankings 11 / 32

Simple case: n = 2, k = 1,l = 0 Two sites: q 1 q 2, v i = R i (f (q i )), one link, ε i = ±1. When there is no SEO (α = 0), ai S = ai F = q i ± σ. If σ > (q 1 q 2 )/2 then 1 wins with prob 3/4. Probability of desired outcome P(α) = Pr(1 wins α), that is, P(0) = 3/4. Expected traffic ET (α) = P(α)(f (q 1 ) f (q 2 )) + f (q 2 ). What is the optimal α? How does efficiency change with q 1, q 2, v 1, v 2? The Role of Search Engine Optimization in Search Rankings 12 / 32

Relation to all-pay auctions (contests) Players compete for an item, highest bid wins, full information. Their investment is sunk. Two players v 1 > v 2 : No pure strategy eq. Mixed strategies: both players mix between 0 and v 2. 1 wins with probability 1 v 2 2v 1. Expected payoffs v 1 v 2 and 0. With headstart h: Player wins if bid+headstart is higher than others. If v 1 + h > v 2, player 1 has a higher chance to win. Expected payoffs min(v 1 v 2 + h, v 1 ) and 0. The Role of Search Engine Optimization in Search Rankings 13 / 32

Results There always exists an ˆα > 0 such that P(ˆα) P(0) = 3/4. If v 1 > (3/2)v 2 then for any σ > (q 1 q 2 )/2 there is an ˆα > 0 such that P(ˆα) > P(0) = 3/4. If the most relevant site values traffic highly, some positive level of SEO always improves the efficiency R 1 (f (q 1 )) > 3 2 R 2(f (q 2 )) In any other case, low levels of SEO do not hurt. The Role of Search Engine Optimization in Search Rankings 14 / 32

Illustration q 1 q 2 -σ q 1 +σ+αb 1 < error q 2 q 1 +σ q 2 -σ The Role of Search Engine Optimization in Search Rankings 15 / 32

Comparative statics P(α, σ, v 1, v 2, q 1, q 2 ) is increasing in v 1, q 1 decreasing in v 2, q 2. The more relevance is aligned with site valuation, the more efficient the ranking. Intuition: the auction is a mechanism that favors players with high valuation. If these coincide with the most relevant sites, then the ranking is improved. If the non-relevant site has a high valuation P(α) can be reduced to 0. Spammer sites can take advantage (low relevance, high valuation). In reality, some search engines accept paid links in the organic list. The Role of Search Engine Optimization in Search Rankings 16 / 32

Error and efficiency How does the optimal SEO effectiveness level change with the variance of the measurement error? Optimal SEO for searche engine: Â. Result: If v 1 > (3/2)v 2 then  = Â(σ) is increasing in σ. Intuition: a more effective correction mechanism may be useful if there is more error. Implication: Investment in search algorithms and against SEO are complements The Role of Search Engine Optimization in Search Rankings 17 / 32

P(α) The Role of Search Engine Optimization in Search Rankings 18 / 32

P(α, σ) The Role of Search Engine Optimization in Search Rankings 19 / 32

So far... We have shown that SEO might be good for search engine and consumers, if high quality sites value consumer high enough. What about sites? Do they profit from SEO? Site 2 (lower quality) always loses with more SEO if v 1 > v 2. Site 1 is always strictly better off if v 1 > 4v 2 or σ < v 1 v 2 q 1 q 2 2. If valuations are close, SEO makes sites fight hard for the top spot. The Role of Search Engine Optimization in Search Rankings 20 / 32

SEO and Sponsored Links Setup (k = 1, l = 1, ψ = 0) Timing: After the SEO process, second-price auction for the sponsored link. Sites bid given their organic traffic. If marginal valuation for traffic is constant, they are independent. If a site loses on the organic side, it compensate on the sponsored side. If R 1 (f (q 1 )) > (3/2)R 2 (f (q 2 ) and γ < 1 is high enough, there is ˆα, s.t. ET (ˆα) > ET (0). The Role of Search Engine Optimization in Search Rankings 21 / 32

What about SE profits? Controversy: would search engines want to provide low quality sponsored links to gain sponsored revenue? Eπ(ˆα) > Eπ(0) iff R 1 (f (q 1 )) R 1 (γf (q 1 )) R 2 (f (q 2 )) R 2 (γf (q 2 )). Higher traffic results in higher profits if r 1 is small: Revenues don t decline rapidly with traffic, q1 /q 2 is close to 1: The difference between sites is not big, or f () is not too high: consumers are not too sensitive to expected quality. The Role of Search Engine Optimization in Search Rankings 22 / 32

Conscientious search (ψ > 0) r 1 (t) = 1 t, r 2 (t) = r(1 t). Consumers can tell which is the best search result without trying. ET is increased by SEO when r is low and γ is high or when r is high and γ is low (increasingly the later as ψ increases) Eπ is increases with ET when γ < ˆγ, where ˆγ is decreasing in r and ψ. The Role of Search Engine Optimization in Search Rankings 23 / 32

SEO benefits (ψ = 0) The Role of Search Engine Optimization in Search Rankings 24 / 32

SEO benefits (ψ = 0.15) The Role of Search Engine Optimization in Search Rankings 25 / 32

SEO benefits (ψ = 0.30) The Role of Search Engine Optimization in Search Rankings 26 / 32

SEO benefits (ψ = 0.45) The Role of Search Engine Optimization in Search Rankings 27 / 32

SEO benefits (ψ = 0.6) The Role of Search Engine Optimization in Search Rankings 28 / 32

SEO benefits (ψ = 0.75) The Role of Search Engine Optimization in Search Rankings 29 / 32

General model Multiple organic links Multiple players Error has a finite support ε < q 1 q k k. Results are similar: some positive level of SEO can improve the organic ranking. The Role of Search Engine Optimization in Search Rankings 30 / 32

Conclusion We model the economic incentives behind SEO. We show that some positive level of SEO can be beneficial to the search engine by increasing traffic and even profits consumers but generally not to sites, who have to defend their position SEO and sponsored links Sites can go for either or both. Higher quality organic links results in higher sponsored revenues when consumers trust the SE, valuations are different, there is enough clikc on sponsored links. The Role of Search Engine Optimization in Search Rankings 31 / 32

Future directions Different assumptions on timing and information Content investment / white hat SEO More active search engine Dynamics Heterogeneos consumers The Role of Search Engine Optimization in Search Rankings 32 / 32