Parallel search engine optimisation and pay-per-click campaigns: A comparison of cost per acquisition

South African Journal of Information Management

 
 
Field Value
 
Title Parallel search engine optimisation and pay-per-click campaigns: A comparison of cost per acquisition
 
Creator Kritzinger, Wouter T. Weideman, Melius
 
Subject information science cost per acquisition; search engine optimisation; pay-per-click
Description Background: It is imperative that commercial websites should rank highly in search engine result pages because these provide the main entry point to paying customers. There are two main methods to achieve high rankings: search engine optimisation (SEO) and pay-per-click (PPC) systems. Both require a financial investment – SEO mainly at the beginning, and PPC spread over time in regular amounts. If marketing budgets are applied in the wrong area, this could lead to losses and possibly financial ruin.Objectives: The objective of this research was to investigate, using three real-world case studies, the actual expenditure on and income from both SEO and PPC systems. These figures were then compared, and specifically, the cost per acquisition (CPA) was used to decide which system yielded the best results.Methodology: Three diverse websites were chosen, and analytics data for all three were compared over a 3-month period. Calculations were performed to reduce the figures to single ratios, to make comparisons between them possible.Results: Some of the resultant ratios varied widely between websites. However, the CPA was shown to be on average 52.1 times lower for SEO than for PPC systems.Conclusion: It was concluded that SEO should be the marketing system of preference for e-commerce-based websites. However, there are cases where PPC would yield better results – when instant traffic is required, and when a large initial expenditure is not possible.
 
Publisher AOSIS
 
Contributor
Date 2017-07-31
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Empirical
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajim.v19i1.820
 
Source SA Journal of Information Management; Vol 19, No 1 (2017); 13 pages 1560-683X 2078-1865
 
Language eng
 
Relation
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https://sajim.co.za/index.php/sajim/article/view/820/1125 https://sajim.co.za/index.php/sajim/article/view/820/1124 https://sajim.co.za/index.php/sajim/article/view/820/1126 https://sajim.co.za/index.php/sajim/article/view/820/1116
 
Coverage South Africa — —
Rights Copyright (c) 2017 Wouter T. Kritzinger, Melius Weideman https://creativecommons.org/licenses/by/4.0
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