<prompt> Hlahisa mohlala oa tsebeliso ea mekhoa ea merafo ea data ho tsa mebaraka.nan  <response>: Instruction in English: Generate an example of the application of data mining techniques in marketing. . Response in English: One application of data mining techniques in marketing is customer segmentation. By analyzing large datasets of customer information, marketers can use clustering algorithms to group customers into different segments based on their shared characteristics such as age, gender, income, purchase history, and interests. This enables marketers to tailor their marketing strategies to the specific needs and preferences of each customer segment.For instance, suppose a company sells sports gear and apparel. Using data mining techniques, it can divide its customers into different segments, such as one segment for people who regularly purchase running shoes, clothing and other accessories; another segment for those who purchase cycling gear; and a third for those who buy yoga outfits and equipment. With this information, the company can then create targeted marketing campaigns like sending personalized email offers or ads on social media that promote running or marathon events to the first segment, showcase the latest cycling equipment or details on local cycling routes to the second, and feature special offers on yoga classes or meditation sessions to the last group.By applying data mining techniques in marketing, the company can is therefore more likely to effectively connect with its customers and offer them compelling products, promotions and services - ultimately leading to increased sales and customer loyalty. . Response in Sesotho: Tšebeliso e ngoe ea mekhoa ea merafo ea data ho bapatsa ke karohano ea bareki. Ka ho sekaseka li-dataset tse kholo tsa tlhaiso-leseling ea bareki, barekisi ba ka sebelisa li-algorithms tsa ho kopanya ho arola bareki ka likarolo tse fapaneng ho latela litšobotsi tsa bona tse arolelanoang joalo ka lilemo, tekano, chelete, nalane ea theko le lithahasello. Sena se nolofalletsa barekisi ho hlophisa maano a bona a ho bapatsa ho latela litlhoko le likhetho tse ikhethileng tsa karolo ka ngoe ea bareki. Ka mohlala, ha re re khamphani e rekisa thepa ea lipapali le liaparo. E sebelisa mekhoa ea merafo ea data, e ka arola bareki ba eona ka likarolo tse fapaneng, tse kang karolo e le ngoe bakeng sa batho ba rekang lieta tsa ho matha, liaparo le lisebelisoa tse ling kamehla; karolo e ngoe bakeng sa ba rekang lisebelisoa tsa libaesekele; le karolo ea boraro bakeng sa ba rekang liaparo le lisebelisoa tsa yoga. Ka tlhahisoleseling ena, khamphani e ka theha matšolo a ho bapatsa a reriloeng joalo ka ho romella mangolo-tsoibila a ikhethileng kapa lipapatso mecheng ea litaba ea sechaba e khothaletsang liketsahalo tsa lebelo kapa marathon karolong ea pele, e bontsa lisebelisoa tsa morao-rao tsa libaesekele kapa lintlha tse mabapi le litsela tsa libaesekele tsa lehae ho ea ho ea bobeli limpho tse khethehileng ka litlelase tsa yoga kapa linako tsa ho thuisa ho sehlopha sa ho qetela. Ka ho sebelisa mekhoa ea merafo ea data ho bapatsa, khamphani e ka khona ho hokahana ka nepo le bareki ba eona le ho ba fa lihlahisoa tse tlamang, lipapatso le litsebeletso - qetellong e lebisa ho eketseha ha thekiso le botšepehi ba bareki. 