1 Chapter 1: Introduction
Introduction
Prediction of people behaviour is predicting through the online tool known as Google Trend. It provides information from google search by the users in field of news, images, shopping, education, and e-commerce. Data accessibility for the certain time is collecting through filters posted on the search engine. Digital growth and technological advancement is increasing the demand of mobile phones in the local consumer. Today, every user is looking forward to get smart-phone with varying feature to stay technically advanced. Most searches on Google are doing on latest and trendy feature of mobile phones. Analysis and evaluation of data searched help the business owner to manage inventory of mobile phones which are in high demand. Collection of right information plays a vital role in increasing turnover of the business. Trending phrases and keywords searched are using for examining behaviour and attitude of user and how it gets changed with time. Time is using for calculating inclination of consumer towards the required feature, quality of service, and functionality. Responses to queries are extracting from the web search engine. The information is collecting through the search engine are categorising as location, timeframe, category, and type of search. Location helps in determining possible range of users and their inclination for particular area, city, and at global level. Timeframe is focusing on the last searched done by user in last hour. Data is collecting according to category searched item query. Type of search is doing on basis of image, news, shopping, education, and e-commerce.
There are various search engine channels such as Google trend, Internet explorer, yahoo, and others, is providing the opportunity to the business owner to design and explore their working units of the enterprise with respect to customer need. It helps in satisfying expectation and need of customers so that profitability and turnover of the firm is optimizing within less time. Marketing of product is doing by identifying customer’s expectations so that their inclination is seeing towards the organization to increase profitability of enterprise. Monitoring of brand performance is using to examining search through index word. It helps in gaining competitive advantage.
Aim
Aim of the research is investigating on exploration of google trend for data analysis for providing benefit to the mobile manufacturing company. The study will be helping in determining case studies and effectiveness of improving marketing strategies by implementing google trends so that it is deploying for refining business performance of mobile manufacturing company. During the research program, three case studies are taken for managing comparison and identify how performance of the company will be improving by making use of Google trend.
Objectives
Objectives of research are:
- Review of Google trends
- Working of Google trends
- Kind of information provided by the google trend
- Advantages and benefits of Google trends
- Literature survey on case studies is determining effectiveness of google trends for improving business performance
- Outlining the outcome of case studies
- Implementing google trend analysis in identifying comparison of mobile manufacturing company performance
Significance
Research program is developed for studying the behaviour of case studies and impact of google trends on their operational working and marketing program. Significance of research program helps in comparing the result of Case studies which make use of Google trend for marketing their products. Research program contributes in identifying advantages, limitation, and impact on profitability of enterprise.
Thesis Structure
Thesis report is dividing into chapters. Introduction to the research program with specific aim is defined in chapter 1. Research central idea and gaps of different researchers are presenting in chapter 2 literature review. Methodology used for conducting the research is presenting in chapter 3 along with the case studies comparison for identifying use of google trends in improving performance of the company. Result and outcome evaluation is carrying out in chapter 4 to elaborate success and failure of research program to meet project goal and objective. Chapter 5 gives the brief discussion on the research completion so that adequate conclusion is drawing at the end of the project report.
2 Chapter 2: Literature Review
In our research program, we cited the research papers for evaluating implication of google trends on different case studies and explore its benefits and advantages in improving performance of the business.
(Dutta & Dutta, 2019) provides the information about the working of google trends by implementing on the case study taken for study of features and demands of customers which are inhibiting in product so that it become their first choice and increases sale of business. Google trend is in high demand and becoming first choice of owners to expand their business by doing marketing of their product and company using online channels. It helps in increasing reachability to the global customers. (Smith, 2014) providing the information about type of data searched on the internet which is using for the organization to design their marketing strategy. Information of data accessibility for the certain time is collecting through filters posted on the search engine. Google trends provide relevant information collected on making searches using special characters. For example, ‘&’ ampersand is used for searching in place of writing ‘and’; Decoding of some special character is successfully done by the google for collecting relevant information of search on all platforms.
(Segev, 2014) focuses on problematic situation for the small businesses to highlight key features of their product by evaluating customer concern and demand related to it. Huge amount of budget is spending on marketing programs to increase sale of the business. It cannot be possible to arrange large sum of money by the small organization so it required getting platform for marketing and provides relevant information. Range of keywords and their synonyms are depending on its existence for a longer time on the google trend scenario.
(Sinicki, 2019) research design the case study is implementing Google trend for finding popular searches done by the customer through email marketing in last few hours, day, weeks, or months as demanded by the client. Customer satisfaction is achieving by matching with their thought and area of interest. Behaviour of organization changes with the google trend because productivity of enterprise changes from organization behaviour to customer behaviour. (Choimeun and et.al., 2014) focuses on Google trend is the platform which brings connectivity between the customers and organization to supply the product according to the demand placed by the consumers. The bell-shaped graph is creating which provides the information about the feelings and demands of users. Quality of service provided to the customers is improving by collecting details of customer interest. (Weber, 2015) predicts that it is advantageous to use Google search engine because it is free, easy to access, and fast. It is providing results of comparing the google search items. (Aglo & Aglo, 2014) emphasis is given on finding the relationship between the search item and management operations. Strategic decisions are taking with respect to the information provided from online sources to diagnose the performance gaps. Google trend is in high demand and becoming first choice of owners to expand their business by doing marketing of their product and company using online channels.
Use of Google trend in marketing and fashion research
Luxurious fashion hub is creating for the customer by evaluating and forecasting customer demand (Silva, & et.al., 2014). Google trend is exclusive online tool is getting accuracy in information about the customer reviews and changing demand so that they can develop their business and marketing strategy in the direction to attract more and more customer from the global platform. It helps in developing strong relationship with new and existing customers. Investigation gives information about the changing mood and attitude of users with respect to time, season, and environment. Marketing experts of company is requiring to focus on investigation of customer traffic on particular keyword, developing timeline chart, identifying topic searched by the cluster of groups for particular time and its frequency, measuring content of features available in product advertisement, checking data of video used for marketing, information related to queries of customer are including in videos and other marketing platforms, removal of information which is not in trend, adding synonym of the keyword which are popularly searched, identification of keywords should be matched up with information of google trend, addition on changing business plan with respect to change of season, setting timeline to marketing portfolio, analysing awareness of brand and product of company, measuring rise of popularity by checking it with historic data of company, and designing marketing strategy for next season (Madsen, 2016). (Huang, Rojas, & Convery, 2019) focus on use of google trend in stock market by implementing it on various case studies.
Use of Google trend in marketing and fashion research
Luxurious fashion hub is creating for the customer by evaluating and forecasting customer demand (Silva, & et.al., 2014). Google trend is exclusive online tool to get accurate information about the customer reviews and changing demand so that they can develop their business and marketing strategy in the direction to attract more and more customer from the global platform. It helps in developing strong relationship with new and existing customers. Investigation gives information about the changing mood and attitude of users with respect to time, season, and environment. Marketing experts of company is requiring to focus on investigation of customer traffic on particular keyword, developing timeline chart, identifying topic searched by the cluster of groups for particular time and its frequency, measuring content of features available in product advertisement, checking data of video used for marketing, information related to queries of customer is including in videos and other marketing platforms, removal of information which is not in trend, adding synonym of the keyword which are popularly searched, identification of keywords should be matched up with information of google trend, addition on changing business plan with respect to change of season, setting timeline to marketing portfolio, analysing awareness of brand and product of company, measuring rise of popularity by checking it with historic data of company, and designing marketing strategy for next season (Madsen, 2016). (Huang, Rojas, & Convery, 2019) focus on use of google trend in stock market by implementing it on various case studies.
(Rochmawati & Nurmandi, 2020) researches on branding of product is enhancing by adding information in marketing program according to the queries posted by the user. It helps the company remaining ahead of their competitors because inclination of customers is seeing towards company which is focusing on product quality to meets their expectation and taking queries as advice for improvement. Information and features of product which are not in demand can be removed from the marketing strategy. Unsearched information on the google trend is removing from the marketing program because it does not affect point of interest of customers. Most popular keywords are using for designing marketing strategy. Emphasis is giving on replacing keyword with the synonym because it provides different look to advertisement as well as grab the attraction of their customers. Updates of information are collecting by analysing social media platforms and hashtags on the google trend. Enterprise should focus on managing budget for advertisement and marketing policies. From the investigation, it had been seen that 40% of total budget is requiring for marketing and promotion platforms. It helps in providing return on investment if right marketing strategy is choosing for promoting the product. Bonding with existing and new customer is developing by posting information of products through developing branding program on the online channel. Recently, trend of brand is mostly focused. This data about branding is collecting from google trend. Advertisement and marketing strategy of product is changing according to the change of demand of customers in particular season. From the investigation on google trend, it has been found that customer need varies from season to season so to matchup with the customer need it is requiring change marketing plan. Marketing of product is easy if customers are familiar with the product brand. It is collecting and analysing google trend on brand awareness about the particular product and company before designing marketing program. Planning of branding awareness is carrying out prior to the marketing of product so that customer mind sticks with the particular brand name and gets attracted towards it. Keyword planning is the important step of marketing because if marketing keyword matches with the keyword searched by the users brings the webpage on top rank which can result in visiting of users on the company website. Creation of new ideas and innovative trends keeps the organization ahead of competitors in the competitive world. Calendar of search is creating so that changes in trend of keyword search is examining and helping in adding new features to organization product to meet the criteria and quality standards set by the customers. It is requiring to explore the competition in the similar business market. For example, if merchandize showroom looks for the variety of dresses trends on the global market. Google trends explore the information about the women merchandize which is becoming the first choice of women on the global context. The graph below shows that wedding dresses are in high demand and lace pattern is very less in demand.
(Source: (Silva, Hassani, Madsen, Gee, 2019. Googling Fashion: Forecasting fashion consumer behaviour using google trends)
Use of Google trends for examining Big data to make web searches
Big data is using for performing searches done by the users on the web portal. Google trend gathers big data for facilitating search and provides relevant information to the users according to their demand. (Jun, Yoo, & Choi, 2018) conducted the research on Social network analysis to measure the effectiveness of google trends. It helps in identifying the customer behaviour to satisfy their financial and psychological need for making purchasing easy. Accessibility of internet is getting increased due to smart phones. Willingness of the consumers is identifying by analysing their search on the google platform. Decision making capabilities of the users get changed due to excessive search done on the product because it increases knowledge about the product. An inverted U-shaped graph are drawing in the intermediate period of search. It is the peak period of purchasing the product searched on the internet. Google trend was coming into existence in May 2006. Popularity of google trend was increasing in the year 2012. In 2012, trillions of searches were exploring on the Google trend. Responses of queries are generating instantaneously by enabling data mining technique on available web searches. Indexing of web searches is creating to get significant report of information collected. Time factor is identifying for calculating priority of search in a relevant time period. It is social platform for collecting real time and offline data from various sources. Indexing of information is used for presenting search results on the request of query posted by the users. Accessing of information through google platform is becoming trend because it is freely available on the online platform. Researchers focus on identifying the changes in consumer behaviour to maximise their level of satisfaction by minimizing uncertainties associated with purchasing cost and changes in thought. Consumer adoption model was creating to identify the accessibility of internet in managing social relation on social networking platform with the rise of smart phones availability. Information searched by the customers is based on pre-existence knowledge which affects decision making capabilities of them.
(Mavragni, & et.al, 2018) has conducted the research on systematic review of google trends on Big data. Human behaviour changes with respect to the time. Seasonal trends in health issues can be valuable evaluated and analysed through google trend program. It provides the report of searches done on lung cancer, pandemic diseases, and others. It provides information about the general interest of the drugs related made in particular time. It gives the details of relationship between time and searches. Searches on the particular topic get decreased over time. From the research paper study, it can be concluded that searches get decreasing with the time. It is shown in the graph below:
(Made by author)
In the above graph, search of the keyword is represented on the x-axis and time period is shown on the Y-axis. It is predicted that searches are decreasing with the passage of time. In this paper, systematic reviews were done on google trends to explore the specific criteria for visualization of information.
(Challet & Ayed, 2014) conducted research on requirement of potential users in particular time. Authors give emphasis on extracting information from large voluminous data so that business working capability can be improved by implementing new concern areas in product value. This platform provides updated information about demand and change request of customers. New opportunities are given to the organization to make their enterprise ahead of their competitors. Results of google search get changed on the basis of season, geographical region, language, and others. Awareness program is generated to specify demand of customers and helps in increasing selling of product online. Global customers can put their request according to their need. Awareness of branding of small businesses can be measured by predicting followers of business page. Value of business organization is evaluated through scrolling on few clicks.
(Collison, 2020) researched on comparative analysis of business with their respective competitors is facilitated by developing graphs of queries posted. Popularity of business can be analysed with the help of data volume shared on the basis of location or seasonal demand. Content of business is modulated with the utilization of google trends. It is easy to use for generating revenue for the enterprise. It helps in driving out business strategy to consume customer review for preparing improvement plan and change request for enhancing value of product. Users are able to access information about the product through features. Rising demand of products is determined by calculating keywords searched on the google within particular time. Popularity of brand can be judged by evaluating reviews posted by the customers on the global platform. It makes customers easy to compare brand value of different companies with respect to the product. Performance of the google trend is analysed by identifying its capability on predicting the increasing level of car sales. It develops the forecasting car model. One model make use of data collected through offline medium for designing of marketing strategy and second model make use of google trend for collecting data to prepare their marketing strategy. It was noticed that demand of car based on model two is high than the first model. It means that it is advantageous to use google trend technique for developing product models.
Use of Google trends in Academics
Google trend is used for exploring emerging trends in analysing future of the classroom. It focuses on evaluating the digital responsibility, learning life skills of student, increasing computational thinking, initialization of collaborative classroom, direct connecting to parents for information them about student performance, and others. It is used for developing strategies which can be applied to the academics for improving performances of schools and colleges in real world scenario. Educational strategy is constructed by focusing on the new trends and demands of customers in their academic schedule. Innovative ideas can be generated by collecting data of searches from the google trend. It is a powerful tool which is used for exploring queries techniques to build effective academic content. Use of Google trend in analysing customer demand:
(Sekhavat & Abdollahi, 2016) research focuses on expansion of business platform can be done by knowing customer demands because every organization works in the direction of meeting their customer requirement. Google trend plays vital role in getting information about feelings and opinion of users. It helps in increasing creative thinking of project team so that good and new results is seeing in the product outcome. It is a smart medium to search relevant information about the product by making it different categories. For example, demand of refrigerator, air conditioner, coolers, and others is high in summer season but the trend of customer demand changes in winter season with blowers, heaters, and others. Now to handle changing demand of customers during particular span of time is handled by creating alternative plan. For example, companies of AC, coolers adds offer in winter season when their demand is not trending on google searches done by the user. It helps in bridging gap of changing requirement of customers because offers provide privilege to customers to grab opportunity of getting good quality product at lower price. It is the part of marketing strategy. It has to be modified according to the trends of demand to keep balance between selling and purchasing of product and enhances overall profitability earned by the enterprise in one financial year. From the literature study, it can be concluded that specific information, keywords, and additional information of queries in the marketing program help in matching demand of customers and gets their attraction which can results in increasing sale of business. Marketing of product can be done by identifying requirement of customers so that their inclination is seeing towards the organization to increase profitability of enterprise. Awareness of branding of small businesses can be measured by predicting followers of business page. Value of business organization is evaluated through scrolling on few clicks. Frequency of keyword searched by the customer for particular time helps in measuring demand of item in the market. Addition of features and functionality can be done in the product to meet rising demand of user.
Use of Google trend in Healthcare:
A systematic review of healthcare program is efficiently done by google trend because it provides the insight story of human behaviour for reviewing health related program. Prism guidelines are using for exploring criteria of google trend in four different sectors such as occurrence of infectious disease, communicable and non-communicable disease, mental health disease and problems, and behaviour of population. Transparency in information gathering for the healthcare program can be valued by implementing google trends. It is a reliable tool for investigating epidemiological study. Geographical patterns are using for collecting common disease for improving clinical setting in the core concern areas. In 2020, world is affecting by occurrence of Covid-19 which is infecting large number of people and decreases GDP of the each nation. There are different pandemic disease occurred like ebola fever, meningitis, mushroom poisoning, and others. Google trend helps in elaborating the seasonal trend which is seen in on the occurrence of disease. Health related information is collected from web search. It is used for analysing the similarity in search among the widely spread people about the information searched by them in the field of heath care.
Use of search tool for exploring google trends:
(Mavragani, & Ochoa, 2019) give the detail of different channels available for collecting information from search engine, news, You tube channel, shopping zone, and others. Comparison of search item is done on the basis of language, time, and frequency of search. Top searches are shown at high priority. It helps in improving understanding ability of generating relevant research. Alerts are sending on the email account of user about the latest news about their search items. It helps in making search easy and provides new direction to get relevant research from the search engine portal. Daily analysis report of google search is aggregated to get information about the research questions which are mostly asked by the end users. It helps in identifying concerns and opinion of users in public interest. Google trend website, Google Health API, and others are the major tools which are using to retrieve information regarding google search data. Google trend website and API are providing the information related to academic research done for collecting relevant information. The image below gives information about mostly used public tools for searching data and information.
(Source: (Jambhale & Pratik , 2019. Search Engine Optimization with Google-Web)
Google trend does not provide information of keyword search for time. It shows the information searched for particular time and geographical area. It works on removing replicative information of user who searches particular keyword for number of times. The image below shows the google trend graph for searching keyword Facebook for the time.
(Source: (Edelman, & et.al., 2016. Design of Search Engine Services: Channel Interdependence in Search Engine Results)
Popularity of keyword can be identified by developing table matrix to identify number of people who are looking forward for searching Facebook keyword. It helps in getting information about success of measuring marketing of Facebook on various platform in particular geographical area for particular time. System is organized for providing relevant information according to the query posted by the users to access trend. It is successful tool to give information about seasonal searches which are carried out end user during season.
(Source: Siang, & et.al., 2015. Customer demand and its impact on equipment utilization)
3 Chapter 3: Design
Project is designing for exploring the advantages and benefits of google trends to explore data analysis for the undertaken case study of Mobile manufacturing company. In this, are investigating to compare the current marketing strategies adopted by the organization and how it is enhancing by using the google trend principles for getting knowledge of customers opinion, thought and new demands. Project helps in identifying the benefits which can occur to improve the company performance by using Google trends for collecting and analysing required data.
Project Schedule:
| Task Name | Duration | Start | Finish | Predecessors |
| Exploration of google trends | 62 days | Mon 06-07-20 | Tue 29-09-20 | |
| Project initiation | 11 days | Mon 06-07-20 | Mon 20-07-20 | |
| Selection of Project topic | 2 days | Mon 06-07-20 | Tue 07-07-20 | |
| Preparation of Project abstract | 3 days | Wed 08-07-20 | Fri 10-07-20 | 3 |
| Submission of abstract | 2 days | Mon 13-07-20 | Tue 14-07-20 | 4 |
| Approval of project abstract | 2 days | Wed 15-07-20 | Thu 16-07-20 | 5 |
| Designing of project schedule | 2 days | Fri 17-07-20 | Mon 20-07-20 | 6 |
| Project Planning | 8 days | Tue 21-07-20 | Thu 30-07-20 | |
| Designing of Requirement specification plan | 3 days | Tue 21-07-20 | Thu 23-07-20 | 7 |
| Division of Project work | 2 days | Fri 24-07-20 | Mon 27-07-20 | 9 |
| Investigation of Case studies | 1 day | Tue 28-07-20 | Tue 28-07-20 | 10 |
| Finalization of case studies | 2 days | Wed 29-07-20 | Thu 30-07-20 | 11 |
| Data collection | 15 days | Fri 31-07-20 | Thu 20-08-20 | |
| Literature review | 3 days | Fri 31-07-20 | Tue 04-08-20 | 12 |
| Case studies | 5 days | Wed 05-08-20 | Tue 11-08-20 | 14 |
| SWOT analysis | 3 days | Wed 12-08-20 | Fri 14-08-20 | 15 |
| Current situation of enterprise | 2 days | Mon 17-08-20 | Tue 18-08-20 | 16 |
| Web surfing | 2 days | Wed 19-08-20 | Thu 20-08-20 | 17 |
| Data analysing | 10 days | Fri 21-08-20 | Thu 03-09-20 | |
| Analysing data | 3 days | Fri 21-08-20 | Tue 25-08-20 | 18 |
| Designing of project | 5 days | Wed 26-08-20 | Tue 01-09-20 | 20 |
| Reviewing outcome | 2 days | Wed 02-09-20 | Thu 03-09-20 | 21 |
| Research presentation | 18 days | Fri 04-09-20 | Tue 29-09-20 | |
| Documentation of research | 3 days | Fri 04-09-20 | Tue 08-09-20 | 22 |
| Preparing partial solution 1 | 3 days | Wed 09-09-20 | Fri 11-09-20 | 24 |
| Submitting partial solution 1 | 2 days | Mon 14-09-20 | Tue 15-09-20 | 25 |
| Preparing partial solution 2 | 3 days | Wed 16-09-20 | Fri 18-09-20 | 26 |
| Submitting second draft | 2 days | Mon 21-09-20 | Tue 22-09-20 | 27 |
| Completion of report | 2 days | Wed 23-09-20 | Thu 24-09-20 | 28 |
| Presentation of report | 1 day | Fri 25-09-20 | Fri 25-09-20 | 29 |
| Project close out | 2 days | Mon 28-09-20 | Tue 29-09-20 | 30 |
(Made by Author)
Methodology
Literature Review
| Literature Title | Central Idea |
| Ten years of research change using Google Trends: From the perspective of big data utilizations and applications | Google trend does not providing information of keyword search for time. It shows the information searched for particular time and geographical area. It works on removing repeated information of user who searches particular keyword for number of times. Marketing of product is doing by identifying expectation of customers so that their inclination is seeing towards the organization to increase profitability of enterprise. |
| Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review | Daily analysis report of google search is aggregating to get information about the research questions which are mostly asked by the end users. It helps in identifying concerns and opinion of users in public interest. Google trend website, Google Health API, and others are the major tools which are using to retrieve information regarding google search data. It is the part of marketing strategy. It has to be modified according to the trends of demand to keep balance between selling and purchasing of product and enhances overall profitability earned by the enterprise in one financial year. |
| Google Trends in Infodemiology and Infoveillance: Methodology Framework | New opportunities are given to the organization to make their enterprise ahead of their competitors. Results of google search get changed on the basis of season, geographical region, language, and others. Awareness program is generating to specify demand of customers and helps in increasing selling of product online. Customer satisfaction can be achieved by matching with their thought and area of interest. It makes the emotional attachment of the customers with the company website as it fulfilled their complete demand. |
| Do Google Trend Data Contain More Predictability than Price Returns | Comparative analysis of business with their respective competitors is facilitating by developing graphs of queries posted. Popularity of business is analysing with the help of data volume shared on the basis of location or seasonal demand. Content of business is modulating by utilization of google trends. It is easy to use for generating revenue for the enterprise. Expectation and need of the consumers is determining and revealed by identifying most trending information. |
| Performance Assessment of Google Trend Index in Forecasting Car Sales in Argentina A Case Study | Google trend is the best option for the small entrepreneur because it helps in collecting and evaluating information of customer search to enhance feature of product and promotes quality of service provided to the customers. It is seeing that marketing of branding of small organization can be done on the global platform by adding information of queries into marketing program. It helps in promoting business website during web search done by using particular keyword which is adding in the marketing program of the enterprise. Number of users visiting the website helps in increasing sale of company products and bringing awareness of brand in user for their next choice. |
(Made by Author)
Online surfing
Data is collecting from various websites to analyse the effectiveness of google trend for collecting customer reviews on different product. Web results show the inclination of the customers towards the desired features. It helps in providing the information to the company about the need and expectation of the customers. From the investigation on web search, it has been found that it is significant approach to get insight information about the searched item. There are different channels available for collecting information from search engine, news, You tube channel, shopping zone, and others. Comparison of search item is doing on the basis of language, time, and frequency of search. Top searches are showing at high priority. It helps in improving understanding ability of generating relevant research. Alerts are sending on the email account of user about the latest news about their search items. It helps in making search easy and provides new direction to get relevant research from the search engine portal.
Case studies
Case study 1: Exploring the relationship between google trend and sale of Automotive industry
Case study is representing automotive industry; company launches two models of car named as model 1 and model 2. We will add google trend index value for comparing the annual sale growth of the company.
Model 1: Seasonal profit of the car Model 1 is determining by using the following formula:
Model 2: It represent the same model 1 but with the extend information retrieved from the Google trend. Information received from the google search engine about the interest and key searches done by the customers are representing as google trend index value. It is showing by using the following formula:
Formula for error prediction:
EPF= Log (estimated sales) – Log (Actual Sale)
(Source: Sentiment analysis and google trends data for predicting car sales)
Value of Error prediction formula helps in evaluating the benefit of using Google trend in designing of marketing strategy because it is providing relevant information about the searches made by the users to get advanced features and functionality in the mobile phones. Therefore, on the basis of search manufacturing companies moulded their designing plan according to the customer requirement so that sales can be accelerated.
Conclusion of case study is that forecasting of error rate is calculating on the monthly basis by collecting the significant information from the google trend index value.
| Model Name | Forecast Error prediction | ||||||
| May | June | July | August | September | October | November | |
| Model 1 | 43.2 % | 36.75 % | 41.02 % | 32 % | 44.54 % | 37.20% | 40.02 % |
| Model 2 | 21.9% | 17.90% | 19.05% | 22.39% | 24.5% | 16.70% | 21.25% |
(Source: Made by me)
The graph below shows forecast error prediction for model 1 and model 2
(Source: Made by me)
Prediction of car sale is efficiently measuring through sentiment analysis. Google trend is using for finding accuracy in avoiding misclassification of opinions. Behaviour of customers is getting influenced through implication of data collected from the social media platform. Variance in sales is predicting by measuring positive and negative comments of the customers in relation with time-lag. Quality, need, and information are three factors which plays vital role in influencing decision of the consumers. Interest of consumers is measuring for finding the errors in prediction of sale. Services and facilities provided by the car is directly proportional to sentiments and expressions. Correlation between customer sentiments helps in setting price of the car model because it focuses on need and expectation of the customers. The research model is based on finding relationship between independent and dependent variable by formalizing the negative and positive responses with respect to total number of posts. Price of car model is fixing on analysing the future demand of the proposed model.
Study helps in determining facts by evaluating decision tree value so that accuracy is achieving in finding the sale rate of car model. It determines planning of car marketing by fixing price and cost on the basis of demand and expectation of the customers. Positive and negative reviews of the customer per model is using for obtaining relationship in respect to rejection and approval of the car model. Sale rate of car is predicting on analysing data from google trend. Comparison of sale rate is done between historic values and future demand of car model. From the analysis of case study, it is identifying that social media platform increases connectivity with the global customers, having positive influence on customers, future demand of car model, determining error constraints with the car model which can hurdle the sale of car.
Case study 2: Exploring the relationship between google trend and stock market
In this case study, direct relationship between google trend and stock market is identified. It focuses on gaining popularity of stock market by getting associated with google searches. Research methodology is based on data collected through google trend. Data was collected from 2004 to 2017 for searching the large data sets through the process of normalization. Google trend is used for collecting and analysing 13 years data from the past history. It focuses on developing report on buying and selling of stock during initial and final year. During the investigation of 13 years data is found that there is no consistency between in the performance measures. Forecasting of the stock selling and buying is calculating through developing the correlation matrix for minimizing the error rate for the validation of stock market stability. Conclusion of the paper is that changes in the stock price are directly get affected by popularity of search. It helps in deciding future market of the stock price. There are two stock market companies taken named as Citigroup pvt. Ldt. denoted by C and Bank of America Ltd. denoted by BAC. The graph below shows how implication of google trends smoothen the flow of information in defining changes in future stock market. Graphs represent buying and selling of stock during the consecutive years.
(Source:( Huang, and et.al., 2019. Forecasting stock market movements using Google Trend searches)
Use of google trends help finding change in value with respect to the changing time. It helps in evaluating the variance in forecasted error. Forecasting model of stock market is based on historical data. Behaviour of the internet users is judging through data survey performed. Queries are resolving by preparing data set reports on the stock price. Data is collecting through social media platform but in social media platform data was stored in unstructured format for which text mining operations are performing. Diversification of social media platform is exploring to the historical data by deploying numerical analysis. It helps in bringing accuracy in the working model of data analysis. Google trends determine the essential keywords for overcoming the problems relating to availability and confidentiality of data. Performance of stock market is revealing through by finding key market index value.
Case study 3: Exploring the relationship between google trend and forecasting rate of suicide in Ireland
The case study was designing for identifying validity of google trend in forecasting rate of suicide in Ireland. It focuses on finding the major cause of suicide which is most frequently searched on the google search engine. In Ireland, rate of deaths is increasing due to the increasing rate of committed suicide. Google trend is used for developing statistical report by the data collected from last 10 years. Occurrence of suicide cases are calculating on linear and non-linear model. Data is changing with the span of time. From the investigation, it is found that there are various reasons for committing suicide. Google search is made by using keywords like committing suicide, how to die, anxiety, how to overcome depression, painless suicide, unemployment, what are the symptoms of depression, and others. Correlation matrix is preparing on the basis of search queries and keywords. The graph below shows the list of suicide thoughts which occurred in the mind of citizen of Ireland. The high rising spikes is used for identifying the frequency of searching same data again by different users. It is found that depression, feeling down, and unemployment are the common causes of committing suicide. It is predicting by analysing data present on google search engine. Data is collected for last five years to measure trends and most common reasons for conducting suicide.
(Source: Barros, & et.al., 2019. The validity of google trends search volumes for behavioural forecasting of national suicide rates in Ireland)
Internet increases risks of suicide cases because it provides the information related to suicide cases and methods used for attempting suicide. Thoughts related to suicides retrieve relevant information from the internet. Planning of suicide is getting influenced by information uploaded on the web. There are common keywords and phrases used by the users for finding information related to suicide methods such as how painless suicide can be attempted, which is most commonly used suicide method, how to kill yourself, how to commit suicide, and others. End-users are seeking information about the suicide from Google trend. Research model of the case study is based on neural network concept for testing sentiments and emotions of the users. Government is making use of Google trend for getting relevant information about suicide cases so that proactive action plan is preparing for minimizing occurrence of suicide committed by the people. Correlation index is calculating by determining the value of time lag and queries posted in relation to suicide on the google platform. From the investigation, it is found that there are some common causes of suicide such as depression, feeling of loneliness, suicide thoughts, and others.
Summarising comparison of case study:
There are some common points related to google trend in different cases which are exploring during the investigation. Research is composing of three different cases which are forecasting sale of car, forecasting changes in stock price and market, and reason of suicide cases in Ireland. It has been found that google trend is act as surveillance for analysing real-time data collected over last five to ten years to get information about most common trends seen in their course work. Infrastructure of collected data is preparing from the google search engine which provides adequate information and transparency in fostering data forecasting.
From the investigation, it is found that Google trends plays vital role in resolving issues and complexities associated with the working model of the companies. In the case study of car sale, comparison of selling is evaluating without and with using google trends for estimating the demand and need of customers. Case study on Stock market is using the google trend information for enhancing sale of business by increasing level of product to meet the rising demand of future. Case study on suicide rate in Ireland is making use of Google trend data for identifying main causes of suicide and how it will be minimized in the coming year.
| Particulars | Role of Google Trend in different case studies | ||
| Case study | Forecasting of car sale | Forecasting of stock price and market | Forecasting of suicide rate and cause |
| Use of Google trend | Identifying customer need | Item searched on Google search engine | Google search is using for knowing thoughts of citizen in relation to suicide |
| Advantages of Google trend | Provide value to the end product | Comparison of item searched with the similar word. For example word toxic is similar to hazardous. Data search will show combined results of both searches. | Collects information related to common causes of suicide |
| How Google trends resolves complexities of the working organization | Meets customer need | Managing table of data search of last 5 to 10 years | Managing table of data search of last 5 to 10 years |
| End-results of Google trends | Provide satisfaction to the customers | Analysing buying and selling of stock for the coming future | Rate of suicide with particular suicidal action |
| Role of Google trend in marketing | Adding features and demand to marketing strategy on the basis of google trend data | Helps in increasing production by analysing the future sale in stock market | Analysing major cause of suicide and developing action plan for minimizing death rates through committing suicide. |
(Source: Made by me)
Reports of Mobile companies collected from Google trend for analysis
Google trends report of past five years on searching made on iPhones in United States:
The graph below shows variation in searching on iPhones in United States and comparing reports of last five years that is from 2015 to 2019. From the graph, it is noticing that interest of customers get changed over time.
(Source: Google Trend Data)
The graph below shows search of iPhone related to keywords which are specifically used for showing iPhone series and advancement in technology. From the graph, it is demonstrating that peak period of search keyword is coming up with the launch period of mobile phones. Gap between slowdown of search and increment in searching new features and functionalities helps in identifying changing need of the customers. It foster on judging the right period of launching new mobile technology to gain interest and attraction of customers from the global world.
(Source: Google Trend Data)
Graph below shows the statistical report of comparing number of users searching for Samsung mobile phones and iPhone. From the graph, it is predicting that popularity of iPhone is more than the Samsung phone. Therefore, mobile companies can identify features and functionalities provided by the iPhone for upgrading the quality standards and satisfying need of the customers.
(Source: Google Trend Data)
Graph below shows the latest report which is collecting for identifying popularity of mobile phones offered by 5 different smart phone companies. It is ranking as Apple, Samsung, Huawei, OPPO, and others.
(Source: Google Trend Data)
Mobile companies make use of google trend for analysing and evaluating need and expectation of the customers in relation to features and functions. Sale of smart phones is calculating by identifying popularity of companies. Marketing plans for the mobiles sale is developing through investigating changes in the company, synchronizing keyword search with calendar, clustering of ideas for developing effective marketing strategy, and results is filtering through google search, web search, and you-tube search. It is providing opportunities for optimizing business plan and long term synchronization plan.
4 Chapter 4:
Analysis
Data analysis is performing on the case studies data used for investigation to find advantages of google trends for promoting sale of the enterprise. Prediction of error rates helps in evaluating the efficiency of proposed models. The graph below shows the increment in the sale of business and minimizing death rate in Ireland by using Google trend. It helps in improving performance of the undertaken case study.
Analysis of google trend evaluated that customer demand is changing over time. Selection of mobile phones depends on features and functionalities provided by the smart devices. With the digital advancement connectivity with the internet is also changing. Historically 3G was the fastest network connectivity. It increases downloading and uploading of files speed but with the passage of time demand of speed is increased therefore invention of 4G smart phone was establishing. It covers massive target market and facilitates customers by fulfilling their demand. In today’s scenario, it is in constant status. The demand of using 4G mobile features smart phone is neither increasing nor declining but along with it 5G come into existence to attract global target audience and covers up entire market of 4G. It is increasing demand of the customer which will be getting hike in the coming future. The graph below shows change in customer search keywords in relation to get hi-tech smart phones.
(Source: Google Trend)
SWOT analysis of Current working marketing strategies and inclusion of Google trend for marketing
| Strength | Weaknesses | Opportunities | Threats | |
| Current Working marketing strategies | Customer review is using for designing marketing standards and promotion of the newly designed mobile phones. Designing of marketing strategy is establishing on reviews and opinions presented by the consumers on the available mobile phones for improvement. | Reviews collected from the selective customer only who are connecting with our organization. It does not providing information about the global demand of features and functionality. It directly affects our growth and profitability. | It provides opportunity to indulge new data collection technique which provides information about the customer opinions and reviews on the global platform. | Limited information collected from limited number of customers. It only provides information about the feedback given on the product which is already launched. It is inefficient in providing information about what functionality and features of mobile phones customers are seeking for on the global platform |
| Google Trend for marketing | Keyword planning is the important step of marketing because if marketing keyword matches with the keyword searched by the users brings the webpage on top rank which can result in visiting of users on the company website. Creation of new ideas and innovative trends keeps the organization ahead of competitors in the competitive world. Calendar of search is creating so that changes in trend of keyword search is examining and helps in adding new features to organization product to meet the criteria and quality standards set by the customers. | It does not providing normalized data. It provides the information searched by the customers on the Google platform not on any other platform. Variation in the result shown by the google trend with the passage of time. | It provides opportunity to management to change its decision to incorporate with need of customers. Development of system which is capable of sending alerts messages on the email account of user about the latest news about their search items. It helps in making search easy and provides new direction to get relevant research from the search engine portal. | Threats which are associating with the google trends that data is searched from the google platform only Sometimes fake messages are also taken into consideration in google trend Error rate are effecting due to number of customers searched the particular keyword |
(Source: Made by me)
Results
Google trend index provides adequate information which helps in increasing the effectiveness of product value to meet expectation of the customers. This can lead to negative and positive feedback provided by the customer who directly affect the growth and profitability rate of the enterprise. Differences in the product quality occur since it is dependent on limited customer reviews and data collected from other platforms. It provides suggestions and opinion from the global world which helps in adding trendy feature to the mobile and helps in becoming the first choice of the customers. It works on developing strong relationship with the customers.
Implication of google trend in Mobile manufacturing company is having positive and negative impacts which are discussed below:
Positive consequences:
Google trend is the free online service which is used for collecting data to evaluate need and demand of the customers. It is based on real time searching of keywords. It helps in fulfilling expectation of the customers by resolving issues and risks which affects decision-making of the working team.
(Source: Self-Made)
Negative Consequences:
Negative side of the Google trend is it involves normalization of the data to analyse the popularity of keywords, data collected from the google platform only, does not evaluate search items on other platform like Yahoo, and others. It is not suitable for searching item based on big data analytics and cloud computing platform. Variation in the actual results observed when performing the cumulative research on different search engine.
(Source: Self-Made)
Interaction with professional through case studies helps in pointing out the gaps which exist in the current architecture of the company to design an effective marketing policy. Centralised idea of methodology is that to predict problem domain of the company so that suitability of google trend is ensuring that it is beneficial for increasing sale and productivity of the organization with respect to customer demand and expectation. Meeting expectation of the customer is equal to the milestone achieved. It is useful for making and keeping strong bonding with the new and existing customers. Graph below shows the impact on google trend on mobile manufacturing company:
(Source: Self-Made)
5 Chapter 5
Discussion
Result outcome provides the platform for discussion for evaluating the impact of searching attitude and behaviour of the customers on the overall managerial process designed for uplifting sale and purchase of product developed by the company. Supply and demand of the products is examining by their google search results. Mobile manufacturing company will develop mobile phones according to the demanding features so that they can meet expectation of the customers. Managerial issues are resolving by identifying interest and forecasting behaviour of customers. Value and features depends on the thinking, concepts, and ideas. It determines the project goal and objectives to intimate sudden outbreak of sale and purchase of the product. Importance of search engines is measuring by knowledge gain about the customer demand and perspective. Key performance indicators of the product is determining by retrieving the information from the google trend platform. Expectation and need of the consumers can be determined and revealed by identifying most trending information. Customer satisfaction is achieving by matching with their thought and area of interest. It makes the emotional attachment of the customers with the company website as it fulfilled their complete demand. Exponential growth of customer data gets increased due to technological advancement and development of social media platform. It is difficult to analyse the trends of customers by receiving such a big data. It is required to have a tool which provides the result of searching. Google trend is the successful tool which is capable of providing relevant information about the latest searches done by the users. Study report of literature emphasis on benefits and working of google trend. Smaller organization can effectively utilize google trend to become popular among the customers as quality of product meets the customer expectation.
Marketing strategy is designing with the central idea of keywords used by the consumers in their daily searches in the field of mobile world. Use of keywords provide privilege during the search as when the customer make the search using keyword used in company marketing policy will bring the website on the top pages which increases probability of customer to visit company website and hence increasing sale and turnover of the firm. High rating given by the customer on the review system makes the company popular. Connectivity between the user and company is managing by providing quality of service which brings feeling of satisfaction in them.
Evaluation
Google trend is the successful tool to retrieve information and insight stories of the customers. Information is filtering through the search done by user in form of image, text, news, or any you tube channel. Information is exploring among different platforms of google to create trend of keyword searched by customers. It is also capable of providing the report of comparison on the basis of language, region, climate, location, and others. Demands of product change over time which affects sale of product. Top searches show the path of similar search done by the users. Interpreted report is useful for deigning the marketing strategy for company. It gathers information about google trendy keyword to send alert signal which is useful for manager to change their decision during the manufacturing process and added new functionalities and features into the product.
Performance of the organization is improving by exploring data analysis through the use of google trend. Applicability of google trend is useful if changes in the company working practices are doing with the changing need of customers with the passage of time. Quality of service and product features are providing on demand than only it can increase sale of the organization because fluctuation in the demand occurs with the time passes. Information which is going viral on the internet platform is evaluating by using google trend. It provides the information about customer inclination and rising demand which is becoming common choice of most global public. Peak value represents the rising rate of demanded feature. According to the season requirement variation in the google search is seeing. For example, search related to ice-cream is in high demand during summer season, invention of new feature increases the demand of mobile phones, and others. Performance of the organization is directly proportional to the demand which means that decrease in demand will affect performance of the enterprise negatively and if demand is high it means company is doing well and is on right track. Google trend is the useful tool for evaluating the demand of customers which can be embedded in the product to meet their expectations.
From the above discussion, experimental set up, information collected from case study and literature review it is evaluating that growth of the organization can be improved by initializing the google trend data analysis report for developing product and creating marketing strategy because it provides the complete information about the outdated features which has to be removed, addition of new and trendy features, and rising demand of customers. Keyword planning technique is good to use marketing strategy as it helps in bringing the webpage of top search items which directly affects the growth of company. It brings awareness in the customers about the new business that it is providing quality product according to their demand and expectation.
6 Chapter 6: Conclusion
Research Limitation
Limitation of this research is that it is conducting for gathering information about role played by google trend in providing information about the mobiles companies only. Google trend is the single tool used for collecting the information about the marketing strategy adopted by the enterprise in our research. Other tools such as yahoo, bingo, internet explorer, Microsoft explorer, and others are not used for collecting trendy information about the marketing strategy is adopting by the mobile company for increasing their selling of product.
Future scope of project
Future scope of project is to investigate the changes in customer demand and how management should change its decision to incorporate with the expectation of customers. Development of system which is capable of sending alerts messages on the email account of user about the latest news about their search items. It helps in making search easy and provides new direction to get relevant research from the search engine portal.
Conclusion
It is concluding that responses to queries are extracting from the web search engine. Diversification of thoughts is the domain of search trend from global remote areas. Indexing is developed by finding the keyword from the phrases or sentence searched on the search engine. Point of interest is noting by specifying index or keyword of the phrases. Google trend is using to find out information regarding the user who posted their query of search. Daily analysis report of google search is aggregated to get information about the research questions which are mostly asked by the end users. It helps in identifying concerns and opinion of users in public interest. Marketing experts of company is requiring to focus on investigation of customer traffic on particular keyword, developing timeline chart, identifying topic searched by the cluster of groups for particular time and its frequency, measuring content of features available in product advertisement, checking data of video used for marketing, and others. Google trend is the best option for the small entrepreneur because it helps in collecting and evaluating information of customer search to enhance feature of product and promotes quality of service provided to the customers. It is seeing that marketing of branding of small organization can be done on the global platform by adding information of queries into marketing program. It helps in promoting business website during web search done by using particular keyword which is adding in the marketing program of the enterprise. Marketing expenses of the company is reducing by exploring the information on the google platform. It is a free engine which is used for managing flow of information between the customer and company. Centralised idea of methodology is that to predict problem domain of the company so that suitability of google trend can be tested to ensure that it is beneficial for increasing sale and productivity of the organization with respect to customer demand and expectation.
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