Writing for advertising _ TOYOTA
•Download as PPTX, PDF•
1 like•595 views
This advertisement is for the Toyota Land Cruiser Prado targeting a worldwide high and middle class audience. It promotes the Prado as a strong, comfortable car that can be driven in cities as well as wild areas in Africa. The headline "PRADO. Be the hero in every road" suggests that the Prado allows drivers to go anywhere. The advertisement uses imagery of the Prado in both urban and rural settings with people and animals looking at it curiously to promote the message that the Prado can take drivers anywhere they want to go.
Report
Share
Report
Share
Recommended
cnn ppt.pptx
Convolutional neural networks (CNNs) are a type of deep neural network commonly used for analyzing visual imagery. CNNs use various techniques like convolution, ReLU activation, and pooling to extract features from images and reduce dimensionality while retaining important information. CNNs are trained end-to-end using backpropagation to update filter weights and minimize output error. Overall CNN architecture involves an input layer, multiple convolutional and pooling layers to extract features, fully connected layers to classify features, and an output layer. CNNs can be implemented using sequential models in Keras by adding layers, compiling with an optimizer and loss function, fitting on training data over epochs with validation monitoring, and evaluating performance on test data.
Convolutional Neural Network and Its Applications
In machine learning, a convolutional neural network is a class of deep, feed-forward artificial neural networks that have successfully been applied fpr analyzing visual imagery.
Driver drowsiness detection
Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads
Loan prediction
Loan Prediction system is a system which provides you a interface for loan approval to the applicants application of loan. Applicants provides the system about their personal information and according to their information system gives his status of availability of loan.
Loan approval prediction based on machine learning approach
This document discusses using machine learning models to predict loan approvals. It introduces the motivation, problem statement, and objectives of building a loan prediction system. The document describes the dataset used, which contains information about previous loan applicants. It then explains three machine learning models tested for the predictions: decision tree classifier, logistic regression, and naive Bayesian classifier. The document concludes by reporting the accuracy scores from experimenting with each model, with decision tree performing best.
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMs
This document provides an overview of LSTM (Long Short-Term Memory) architecture. It includes a brief history of LSTM, diagrams of the LSTM cell structure, and explanations of how LSTM handles vanishing and exploding gradients problems in traditional RNNs. Source materials and additional references on understanding LSTM are also provided.
Cnn
The document discusses Convolutional Neural Networks (CNNs), a type of deep learning algorithm used for computer vision tasks. CNNs have convolutional layers that apply filters to input images to extract features, and pooling layers that reduce the spatial size of representations. They use shared weights and local connectivity to classify images. Common CNN architectures described include LeNet-5, AlexNet, VGG16, GoogLeNet and ResNet, with increasing numbers of layers and parameters over time.
Object classification using CNN & VGG16 Model (Keras and Tensorflow)
Using CNN with Keras and Tensorflow, we have a deployed a solution which can train any image on the fly. Code uses Google Api to fetch new images, VGG16 model to train the model and is deployed using Python Django framework
Recommended
cnn ppt.pptx
Convolutional neural networks (CNNs) are a type of deep neural network commonly used for analyzing visual imagery. CNNs use various techniques like convolution, ReLU activation, and pooling to extract features from images and reduce dimensionality while retaining important information. CNNs are trained end-to-end using backpropagation to update filter weights and minimize output error. Overall CNN architecture involves an input layer, multiple convolutional and pooling layers to extract features, fully connected layers to classify features, and an output layer. CNNs can be implemented using sequential models in Keras by adding layers, compiling with an optimizer and loss function, fitting on training data over epochs with validation monitoring, and evaluating performance on test data.
Convolutional Neural Network and Its Applications
In machine learning, a convolutional neural network is a class of deep, feed-forward artificial neural networks that have successfully been applied fpr analyzing visual imagery.
Driver drowsiness detection
Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads
Loan prediction
Loan Prediction system is a system which provides you a interface for loan approval to the applicants application of loan. Applicants provides the system about their personal information and according to their information system gives his status of availability of loan.
Loan approval prediction based on machine learning approach
This document discusses using machine learning models to predict loan approvals. It introduces the motivation, problem statement, and objectives of building a loan prediction system. The document describes the dataset used, which contains information about previous loan applicants. It then explains three machine learning models tested for the predictions: decision tree classifier, logistic regression, and naive Bayesian classifier. The document concludes by reporting the accuracy scores from experimenting with each model, with decision tree performing best.
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMs
This document provides an overview of LSTM (Long Short-Term Memory) architecture. It includes a brief history of LSTM, diagrams of the LSTM cell structure, and explanations of how LSTM handles vanishing and exploding gradients problems in traditional RNNs. Source materials and additional references on understanding LSTM are also provided.
Cnn
The document discusses Convolutional Neural Networks (CNNs), a type of deep learning algorithm used for computer vision tasks. CNNs have convolutional layers that apply filters to input images to extract features, and pooling layers that reduce the spatial size of representations. They use shared weights and local connectivity to classify images. Common CNN architectures described include LeNet-5, AlexNet, VGG16, GoogLeNet and ResNet, with increasing numbers of layers and parameters over time.
Object classification using CNN & VGG16 Model (Keras and Tensorflow)
Using CNN with Keras and Tensorflow, we have a deployed a solution which can train any image on the fly. Code uses Google Api to fetch new images, VGG16 model to train the model and is deployed using Python Django framework
Convolutional Neural Networks (CNN)
A comprehensive tutorial on Convolutional Neural Networks (CNN) which talks about the motivation behind CNNs and Deep Learning in general, followed by a description of the various components involved in a typical CNN layer. It explains the theory involved with the different variants used in practice and also, gives a big picture of the whole network by putting everything together.
Next, there's a discussion of the various state-of-the-art frameworks being used to implement CNNs to tackle real-world classification and regression problems.
Finally, the implementation of the CNNs is demonstrated by implementing the paper 'Age ang Gender Classification Using Convolutional Neural Networks' by Hassner (2015).
Face recognition technology
This document summarizes a seminar presentation on face recognition technology. It begins with an introduction to facial recognition systems and what biometrics are. It then discusses why facial recognition is chosen over other biometrics, the differences between facial recognition and face detection, and how facial recognition systems work. Application areas are identified, such as security, government ID, casinos. Advantages include convenience and cost-effectiveness, while disadvantages include issues with lighting, pose, and privacy concerns. The growth rate of the facial recognition market is projected to be nearly 14% annually through 2022.
Face recognition v1
This document summarizes research on deep learning approaches for face recognition. It describes the DeepFace model from Facebook, which used a deep convolutional network trained on 4.4 million faces to achieve state-of-the-art accuracy on the Labeled Faces in the Wild (LFW) dataset. It also summarizes the DeepID2 and DeepID3 models from Chinese University of Hong Kong, which employed joint identification-verification training of convolutional networks and achieved performance comparable or superior to DeepFace on LFW. Evaluation metrics for face verification and identification tasks are also outlined.
Online Quiz System Project Report ppt
We have designed this website with the purpose of allowing the students to give exams and view their results. This site is an attempt to remove the existing flaws in the manual system of conducting exams.
Students are provided the flexibility to choose among different types of aptitude and programming language tests.
Convolution Neural Network
The slides majorly covers
1.Introduction to CNN.
2. Visual Representation of Perceptron being trained on a dataset. 3. Key Concepts used in CNN modeling.
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Vanishing Gradient ...
This document discusses the problems of exploding and vanishing gradients that can occur when training recurrent neural networks. It provides solutions for each problem, such as weight initialization techniques, echo state networks, and LSTM networks. It also references three seminal papers from 1991, 1994, and 2013 that investigated issues with training recurrent networks and long short-term dependencies.
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTM Variations
This document discusses LSTM networks and their use in deep learning. It presents an overview of LSTM, a type of recurrent neural network, explaining how it addresses the vanishing gradient problem through its use of gates that allow information to flow without modification or get reset. The document also provides a link to a 2015 paper by Klaus Greff et al. that describes LSTMs and presents them as a search space for exploring computations beyond simple recurrence.
Fingerprint voting system
The slide is about fingerprint voting system's software design. Here, discussed about how to design a fingerprint voting system's software
Lecture 5 backpropagation
The document discusses backpropagation, an algorithm used to train neural networks. It begins with background on perceptron learning and the need for an algorithm that can train multilayer perceptrons to perform nonlinear classification. It then describes the development of backpropagation, from early work in the 1970s to its popularization in the 1980s. The document provides examples of using backpropagation to design networks for binary classification and multi-class problems. It also outlines the generalized mathematical expressions and steps involved in backpropagation, including calculating the error derivative with respect to weights and updating weights to minimize loss.
Deep Learning A-Z™: Boltzmann Machines - Module 5
This document discusses unsupervised and supervised deep learning models including Boltzmann machines, restricted Boltzmann machines, deep belief networks, deep Boltzmann machines, and autoencoders. It provides an overview of what will be covered, such as energy-based models and contrastive divergence training, and examples of applications for different neural network types. References and readings are also included for additional information.
Fake Currency detction Using Image Processing
This document describes a project to develop a system for detecting fake currency using image processing techniques. It discusses how images of currency will be input, preprocessed, segmented, have features extracted and then classified as real or fake using a support vector machine model. The goal is to build a system that can be easily used by the public to verify currency authenticity by analyzing images. It reviews the methodology and components used, including pre-processing, segmentation, feature extraction of texture and other visual properties, and classification. The system is intended to identify fake currency based on differences detected in real currency features.
Internship report
The aim of the project is to provide data analysis of covid-19 (a pandemic started in December 2019). Through plotting of data, various cases have been studied like most affected countries due to this pandemic. Study of data from various countries is combined to show the growth of cases and recovery graph. In this project, the predictions on various cases has been done and finally, the accuracy of the algorithm has been determined. Comparison graphs has also been plotted to analyze how much INDIA is getting affected/recover day by day.
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
This section on deep learning will cover the basic building block of neural networks, the neuron, as well as how neural networks work through an example. It will also explain how neural networks learn via gradient descent and backpropagation, and how stochastic gradient descent can be used.
PR 127: FaceNet
The document discusses the FaceNet paper, which proposes a unified embedding for face recognition and clustering using a deep neural network. Some key points:
- FaceNet uses a triplet loss during training to learn a embedding space where distances between faces correspond to whether they are from the same person or not.
- This eliminates the need for complex multi-stage training pipelines used by previous works.
- On standard benchmarks, FaceNet achieves over 99% accuracy for face verification, outperforming prior state-of-the-art models.
- The unified embedding allows for face recognition via distance thresholding and face clustering via k-means in the learned space.
lake city institute of technology
The document provides an overview of a college website management system. It discusses the purpose and scope of the system, which is to automate college operations and provide services to members. It outlines the key functionality including online membership, tracking admissions and activities. The objectives are to make information retrieval and maintenance easy while adopting security measures. The proposed system would use ASP.NET for the front-end and be suitable for any education institute.
Internship Project Power Point Presentation
David N. Mugerwa completed an 80-hour internship at Olney Adventist Preparatory School in Maryland, serving on the curriculum and public relations committees. He updated the school website, published newsletters, took photos for marketing materials, and helped promote standardized test scores. Through this experience, Mugerwa improved his technical and collaboration skills and believes he gained valuable experience for a future career in educational administration.
Quizz app By Raihan Sikdar
This document presents a quiz app project created by four students. The quiz app contains questions in programming, math, and geography categories, with easy, medium, and hard difficulty levels. It allows users to share the app, rate it, and get a score after completing a quiz within a 30-second time frame for each question. The project aims to help students increase their skills and prepare for exams. The proposed system would be an Android app utilizing Java, SQLite database, and various screens and functions like categories, difficulty levels, questions, timers, and scoring. The conclusion states the app would help increase thinking levels while being small in size and offline. Future work may include more questions and feedback functionality.
Image Classification using deep learning
image classification is a common problem in Artificial Intelligence , we used CIFR10 data set and tried a lot of methods to reach a high test accuracy like neural networks and Transfer learning techniques .
you can view the source code and the papers we read on github : https://github.com/Asma-Hawari/Machine-Learning-Project-
Face recognition attendance system
This document summarizes a face recognition attendance system project. The project uses face recognition technology to take attendance by comparing captured images to stored student records. It has a completed status. The methodology follows a waterfall model. System diagrams include context, data flow, and architecture diagrams. The database stores student data like name, roll number, attendance, and captured images. The system allows for student registration by capturing images, training the model, and recognizing faces to mark attendance. Developing this project provided experience with real-world software development processes.
Online examination
This document describes an online examination system created by Farouq Umar Idris for CIS242. The system was designed to provide online tests and save time spent checking papers. It allows students to take exams according to their convenience without an invigilator present. The system uses PHP, HTML, JavaScript, and MySQL. It has features like security, ease of use, and no requirement for an examiner. The document outlines the system analysis, design, interfaces, coding, and concludes the system meets its objectives.
Le più belle poesie haiku della 5 c
This document contains 4 photos shared under various Creative Commons licenses that allow for both commercial and non-commercial reuse with attribution. The photos depict nature scenes and were uploaded to Flickr by different photographers granting reuse permissions.
Why to Twitter
This document provides reasons for health professionals to use Twitter, including to learn, engage, connect, inform, promote, reflect, share, challenge, support, and lead or inspire others. It also gives first steps for getting started on Twitter by setting up an account, adding a bio and photo, and making an introductory tweet about who you are and what you do.
More Related Content
What's hot
Convolutional Neural Networks (CNN)
A comprehensive tutorial on Convolutional Neural Networks (CNN) which talks about the motivation behind CNNs and Deep Learning in general, followed by a description of the various components involved in a typical CNN layer. It explains the theory involved with the different variants used in practice and also, gives a big picture of the whole network by putting everything together.
Next, there's a discussion of the various state-of-the-art frameworks being used to implement CNNs to tackle real-world classification and regression problems.
Finally, the implementation of the CNNs is demonstrated by implementing the paper 'Age ang Gender Classification Using Convolutional Neural Networks' by Hassner (2015).
Face recognition technology
This document summarizes a seminar presentation on face recognition technology. It begins with an introduction to facial recognition systems and what biometrics are. It then discusses why facial recognition is chosen over other biometrics, the differences between facial recognition and face detection, and how facial recognition systems work. Application areas are identified, such as security, government ID, casinos. Advantages include convenience and cost-effectiveness, while disadvantages include issues with lighting, pose, and privacy concerns. The growth rate of the facial recognition market is projected to be nearly 14% annually through 2022.
Face recognition v1
This document summarizes research on deep learning approaches for face recognition. It describes the DeepFace model from Facebook, which used a deep convolutional network trained on 4.4 million faces to achieve state-of-the-art accuracy on the Labeled Faces in the Wild (LFW) dataset. It also summarizes the DeepID2 and DeepID3 models from Chinese University of Hong Kong, which employed joint identification-verification training of convolutional networks and achieved performance comparable or superior to DeepFace on LFW. Evaluation metrics for face verification and identification tasks are also outlined.
Online Quiz System Project Report ppt
We have designed this website with the purpose of allowing the students to give exams and view their results. This site is an attempt to remove the existing flaws in the manual system of conducting exams.
Students are provided the flexibility to choose among different types of aptitude and programming language tests.
Convolution Neural Network
The slides majorly covers
1.Introduction to CNN.
2. Visual Representation of Perceptron being trained on a dataset. 3. Key Concepts used in CNN modeling.
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Vanishing Gradient ...
This document discusses the problems of exploding and vanishing gradients that can occur when training recurrent neural networks. It provides solutions for each problem, such as weight initialization techniques, echo state networks, and LSTM networks. It also references three seminal papers from 1991, 1994, and 2013 that investigated issues with training recurrent networks and long short-term dependencies.
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTM Variations
This document discusses LSTM networks and their use in deep learning. It presents an overview of LSTM, a type of recurrent neural network, explaining how it addresses the vanishing gradient problem through its use of gates that allow information to flow without modification or get reset. The document also provides a link to a 2015 paper by Klaus Greff et al. that describes LSTMs and presents them as a search space for exploring computations beyond simple recurrence.
Fingerprint voting system
The slide is about fingerprint voting system's software design. Here, discussed about how to design a fingerprint voting system's software
Lecture 5 backpropagation
The document discusses backpropagation, an algorithm used to train neural networks. It begins with background on perceptron learning and the need for an algorithm that can train multilayer perceptrons to perform nonlinear classification. It then describes the development of backpropagation, from early work in the 1970s to its popularization in the 1980s. The document provides examples of using backpropagation to design networks for binary classification and multi-class problems. It also outlines the generalized mathematical expressions and steps involved in backpropagation, including calculating the error derivative with respect to weights and updating weights to minimize loss.
Deep Learning A-Z™: Boltzmann Machines - Module 5
This document discusses unsupervised and supervised deep learning models including Boltzmann machines, restricted Boltzmann machines, deep belief networks, deep Boltzmann machines, and autoencoders. It provides an overview of what will be covered, such as energy-based models and contrastive divergence training, and examples of applications for different neural network types. References and readings are also included for additional information.
Fake Currency detction Using Image Processing
This document describes a project to develop a system for detecting fake currency using image processing techniques. It discusses how images of currency will be input, preprocessed, segmented, have features extracted and then classified as real or fake using a support vector machine model. The goal is to build a system that can be easily used by the public to verify currency authenticity by analyzing images. It reviews the methodology and components used, including pre-processing, segmentation, feature extraction of texture and other visual properties, and classification. The system is intended to identify fake currency based on differences detected in real currency features.
Internship report
The aim of the project is to provide data analysis of covid-19 (a pandemic started in December 2019). Through plotting of data, various cases have been studied like most affected countries due to this pandemic. Study of data from various countries is combined to show the growth of cases and recovery graph. In this project, the predictions on various cases has been done and finally, the accuracy of the algorithm has been determined. Comparison graphs has also been plotted to analyze how much INDIA is getting affected/recover day by day.
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
This section on deep learning will cover the basic building block of neural networks, the neuron, as well as how neural networks work through an example. It will also explain how neural networks learn via gradient descent and backpropagation, and how stochastic gradient descent can be used.
PR 127: FaceNet
The document discusses the FaceNet paper, which proposes a unified embedding for face recognition and clustering using a deep neural network. Some key points:
- FaceNet uses a triplet loss during training to learn a embedding space where distances between faces correspond to whether they are from the same person or not.
- This eliminates the need for complex multi-stage training pipelines used by previous works.
- On standard benchmarks, FaceNet achieves over 99% accuracy for face verification, outperforming prior state-of-the-art models.
- The unified embedding allows for face recognition via distance thresholding and face clustering via k-means in the learned space.
lake city institute of technology
The document provides an overview of a college website management system. It discusses the purpose and scope of the system, which is to automate college operations and provide services to members. It outlines the key functionality including online membership, tracking admissions and activities. The objectives are to make information retrieval and maintenance easy while adopting security measures. The proposed system would use ASP.NET for the front-end and be suitable for any education institute.
Internship Project Power Point Presentation
David N. Mugerwa completed an 80-hour internship at Olney Adventist Preparatory School in Maryland, serving on the curriculum and public relations committees. He updated the school website, published newsletters, took photos for marketing materials, and helped promote standardized test scores. Through this experience, Mugerwa improved his technical and collaboration skills and believes he gained valuable experience for a future career in educational administration.
Quizz app By Raihan Sikdar
This document presents a quiz app project created by four students. The quiz app contains questions in programming, math, and geography categories, with easy, medium, and hard difficulty levels. It allows users to share the app, rate it, and get a score after completing a quiz within a 30-second time frame for each question. The project aims to help students increase their skills and prepare for exams. The proposed system would be an Android app utilizing Java, SQLite database, and various screens and functions like categories, difficulty levels, questions, timers, and scoring. The conclusion states the app would help increase thinking levels while being small in size and offline. Future work may include more questions and feedback functionality.
Image Classification using deep learning
image classification is a common problem in Artificial Intelligence , we used CIFR10 data set and tried a lot of methods to reach a high test accuracy like neural networks and Transfer learning techniques .
you can view the source code and the papers we read on github : https://github.com/Asma-Hawari/Machine-Learning-Project-
Face recognition attendance system
This document summarizes a face recognition attendance system project. The project uses face recognition technology to take attendance by comparing captured images to stored student records. It has a completed status. The methodology follows a waterfall model. System diagrams include context, data flow, and architecture diagrams. The database stores student data like name, roll number, attendance, and captured images. The system allows for student registration by capturing images, training the model, and recognizing faces to mark attendance. Developing this project provided experience with real-world software development processes.
Online examination
This document describes an online examination system created by Farouq Umar Idris for CIS242. The system was designed to provide online tests and save time spent checking papers. It allows students to take exams according to their convenience without an invigilator present. The system uses PHP, HTML, JavaScript, and MySQL. It has features like security, ease of use, and no requirement for an examiner. The document outlines the system analysis, design, interfaces, coding, and concludes the system meets its objectives.
What's hot (20)
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Vanishing Gradient ...
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Vanishing Gradient ...
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTM Variations
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTM Variations
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Viewers also liked
Le più belle poesie haiku della 5 c
This document contains 4 photos shared under various Creative Commons licenses that allow for both commercial and non-commercial reuse with attribution. The photos depict nature scenes and were uploaded to Flickr by different photographers granting reuse permissions.
Why to Twitter
This document provides reasons for health professionals to use Twitter, including to learn, engage, connect, inform, promote, reflect, share, challenge, support, and lead or inspire others. It also gives first steps for getting started on Twitter by setting up an account, adding a bio and photo, and making an introductory tweet about who you are and what you do.
Forces Disrupting the Network
Businesses demand more intelligent, flexible networks to support a massive influx in Big Data, Mobile, Cloud and Social Media. For more information please visit: http://bit.ly/1bNJUz1
Zasim Uddin English
This curriculum vitae summarizes the educational and professional experience of Zasim Uddin. He has an MBS from National University and a BCom (Hons) in Accounting. He is proficient in computer programs like MS Word, Excel, Access and PowerPoint. His work experience includes serving as a Branch Accountant for BURO-Bangladesh and currently working as an Auditor for them in Pabna Zone. He aims to build a career in a reputed institute by proving his competence and has good communication skills.
Viewers also liked (6)
Similar to Writing for advertising _ TOYOTA
Dream Car Art Contest powerpoint
The Dream Car Contest:
The work that Toyota South Africa does is amazing in naturing your engineer as young as 10year old.
I love being part of the Toyota Family .
"Bongiwe Mtolo"
Car
The document provides information about car brands from different countries including their logos and classifications. It discusses vehicle types and features commonly used in car advertisements. It also gives examples of slogans used by various car brands such as Mercedes-Benz, Honda, FIAT, Volvo, Ford, BMW, Jaguar, Audi, Jeep, Chevrolet, Chrysler, Lexus, Porsche, Land Rover and Toyota. The document aims to help students learn vocabulary related to cars and the language and techniques used in car advertising.
Ford motors
Introduction of Ford Motors and its products, Product Mix, Segmentation, etc is included in this presentation and to make it more interesting videos are also included in it to make it more captivating.
Saturn Car Case Review
The document provides an overview of Saturn Car Case Review, discussing Saturn's Advanced Product Design Team, common threads of success, business and marketing strategy, challenges, and future. It notes that Saturn wanted to establish itself as a quality manufacturer and that the UAW union and GM/Saturn management worked in partnership. All important decisions were made through coordinated consensus between employees and management. Employees received rigorous training focusing on teamwork, quality and productivity.
Tata nano
RATAN TATA
Two-wheelers - with the father driving, the elder child standing in front and the wife behind holding a baby - is very much the norm in this country. In that form two-wheelers are a relatively unsafe mode of transporting a family. The two-wheeler image is what got me thinking that we needed to create a safer form of transport The two-wheeler image is what got me thinking that we needed to create a safer form of transport.
10 Step Marketing Plan for Isuzu Philippines Corp.
This document outlines a 10 step marketing plan for Isuzu Corporation Philippines. It analyzes Isuzu D-Max customers and needs, competitors in the pickup truck market, different estimates for the size of the pickup market, and strategies for pricing, promotion, distribution and differentiating the D-Max. The plan was created by Noel Paningbatan on July 6, 2012 for a marketing management class assignment.
Autonomous cars
What is Autonomous?
what are Autonomous Cars?
History
Working
Sensors
Why not in Pakistan
Advantages and disadvantages
Advertise india
Big ideas come from thorough research, customer insights, and collaboration between talented individuals. Outdoor advertising, such as mobile billboards on autos, is an affordable way to reach a wide audience. These moving displays can access areas that other vehicles cannot and capture audiences' attention at traffic lights. Advertising on autos offers visibility in prime locations throughout cities and reaches both young and old demographic groups.
Toyota on international marketing
The document provides information on Toyota's history and key vehicle models. It discusses the founding of Toyota by Sakichi Toyoda and Kiichiro Toyoda in the 1920s. Toyota initially started as a loom manufacturing company before establishing an automobile department. Key vehicles discussed include the Toyota Innova MPV, Corolla compact car, and Prius hybrid vehicle. The Prius was the world's first mass-produced hybrid car. The document also analyzes potential market entry strategies for Toyota in countries like Australia, Malaysia, and Indonesia.
Top gear 2016 год
The document discusses the popular BBC television show Top Gear. It provides background on the show's history, starting in 1977 as a regional motoring program that covered cars and road safety. Over time, the show evolved into an entertainment program focused on humor and pushing cars to their limits. It profiles some of the main hosts, including Jeremy Clarkson, Richard Hammond, and James May. It also notes the show's large international popularity and discusses whether it can continue successfully without Jeremy Clarkson, who left the BBC.
Future cars- - future is here
The document discusses future advancements in automobile technology. It describes several types of cars that may become more prevalent such as electric cars, which use electric motors and batteries; hybrid cars, which combine gas and electric power; and hydrogen cars, which use hydrogen fuel instead of gas. Flying cars and autonomous cars are also mentioned as potential future technologies. The document outlines some of the sensor and computer systems that could enable autonomous driving capabilities and hands-free operation. It provides examples of companies currently testing self-driving car prototypes like Google. In conclusion, the document presents visions for the future of driving from BMW and Mercedes that envision more personalized in-car experiences and advanced electric vehicle designs.
Successful brand Unsuccessful brand
Toyota Motor Corporation is a Japanese automaker founded in 1937. It focuses on lean manufacturing, continuous improvement, and customer satisfaction. Toyota is the world's largest automaker, known for hybrid vehicles like the Prius. It uses integrated manufacturing and a variety of marketing strategies to sell diverse products globally through dealerships and retailers. While highly successful overall, Toyota's affordable Tata Nano model in India struggled due to issues like high costs, limited features, and lack of status.
TATA NANO S.T.P
Tata Motors launched the Tata Nano as the world's cheapest car, priced at Rs. 100,000. The Nano was marketed as an affordable, safe and fuel efficient vehicle for families with 3-4 members who have difficulties traveling by two-wheeler. Market segmentation analysis showed the Nano targets the middle and lower middle class. Surveys found most people see the Nano as a "people's car" but not necessarily as trendy or aimed at rural areas or young people. In conclusion, the Nano was perceived as an affordable family car for middle and lower income households rather than a rural vehicle.
Summer trainning iproject hyundai ii
Report on summar Trainning,INTERNSHIP at lalz HYUNDAI workshop on the duration of 4 month,
by Anand pratap NSIT(Netaji subhash institute of technology).
Pushkar Portfolio Sample
Pushkar Patange is an art director with 9 years of experience working in advertising agencies in India and Dubai. He has won several international awards for his work, including an One Show Print Merit and Outdoor Crystal for Road Safety from MENA Crystal Awards. He is currently working as a senior art director at BBDO Dubai, having previously worked at agencies including Leo Burnett, Saatchi & Saatchi, and Grey Worldwide. He provides his resume, portfolio, and references.
Secondary Research Report
Toyota was founded in 1926 and began producing automobiles in 1937. Currently, Toyota offers the hybrid Camry and Prius sedans. In 2009, 72% of hybrid sales were Toyota vehicles. The typical Prius driver is over 50 years old, earns over $100,000, and lives in California, New York, or Florida. Competitors to the Prius include the Honda Insight, Ford Fusion Hybrid, and Nissan Altima Hybrid. Advertising for hybrid vehicles focuses on fuel efficiency and positioning the vehicles as affordable and environmentally friendly.
Similar to Writing for advertising _ TOYOTA (16)
10 Step Marketing Plan for Isuzu Philippines Corp.
10 Step Marketing Plan for Isuzu Philippines Corp.
Recently uploaded
在线办理(英国UWS毕业证书)西苏格兰大学毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(英国UWS毕业证书)西苏格兰大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Breaking Silos To Break Bank: Shattering The Divide Between Search And Social
At Mozcon 2024 I shared this deck on bridging the divide between search and social. We began by acknowledging that search-first marketers are used to different rules of engagement than social marketers. We also looked at how both channels treat creative, audiences, bidding/budgeting, and AI. We finished by going through how they can win together including UTM audits, harvesting comments from both to inform creative, and allowing for non-login forums to be part of your marketing strategy.
I themed this deck using Baldur's Gate 3 characters: Gale as Search and Astarion as Social
Evaluating the Effectiveness of Women-Focused Marketing
Women centric marketing is a vital part in reaching one of the most influential groups of consumers. Here is a guide to know and measure the impact of women-centric marketing efforts-
Basic Management Concepts., “Management is the art of getting things done thr...
The managers achieve organizational objectives by getting work from
others and not performing in the tasks themselves.
Management is an art and science of getting work done through people.
It is the process of giving direction and controlling the various activities
of the people to achieve the objectives of an organization Management is a universal process in all organized, social and economic activities. Wherever
there is human activity there is management.
Management is a vital aspect of the economic life of man, which is an organized group activity. A
central directing and controlling agency is indispensable for a business concern. The productive
resources –material, labour, capital etc. are entrusted to the organizing skill, administrative ability
and enterprising initiative of the management. Thus, management provides leadership to a
business enterprise. Without able managers and effective managerial leadership the resources of
production remain merely resources and never become production. Management occupies such an
important place in the modern world that the welfare of the people and the destiny of the country
are very much influenced by it.
1.2 MEANING OF MANAGEMENT
Management is a technique of extracting work from others in an integrated and co-ordinated
manner for realizing the specific objectives through productive use of material resources.
Mobilising the physical, human and financial resources and planning their utilization for business
operations in such a manner as to reach the defined goals can be benefited to as management.
1.3 DEFINITION OF MANAGEMENT
Management may be defined in many different ways. Many eminent authors on the subject have
defined the term "management". Some of these definitions are reproduced below:
In the words of George R Terry - "Management is a distinct process consisting of planning,
organising, actuating and controlling performed to determine and accomplish the objectives by the
use of people and resources".
According to James L Lundy - "Management is principally the task of planning, co¬ordinating,
motivating and controlling the efforts of others towards a specific objective",
In the words of Henry Fayol - "To manage is to forecast and to plan, to organise, to command, to
co-ordinate and to control".
According to Peter F Drucker - "Management is a multipurpose organ that manages a business and
manages managers and manages worker and work".
In the words of J.N. Schulze - "Management is the force which leads, guides and directs an
organisation in the accomplishment of a pre-determined object".
In the words of Koontz and O'Donnel - "Management is defined as the creation and maintenance
of an internal environment in an enterprise where individuals working together in groups can
perform efficiently and effectively towards the attainment of group goals".
According to Ordway Tead - "Management is the process and agency which directs and guides the
operations of an organisation in realising of established aim
Get Off the Bandwagon - Separating Digital Marketing Myths from Truth - Scott...
Get Off the Bandwagon - Separating Digital Marketing Myths from Truth - Scott...DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
Conferences like DigiMarCon provide ample opportunities to improve our own marketing programs by learning from others. But just because everyone is jumping on board with the latest idea/tool/metric doesn’t mean it works – or does it? This session will examine the value of today’s hottest digital marketing topics – including AI, paid ads, and social metrics – and the truth about what these shiny objects might be distracting you from.
Key Takeaways:
- How NOT to shoot your digital program in the foot by using flashy but ineffective resources
- The best ways to think about AI in connection with digital marketing
- How to cut through self-serving marketing advice and engage in channels that truly grow your businessHow to Start Affiliate Marketing with ChatGPT- A Step-by-Step Guide (1).pdf
Discover the power of affiliate marketing with ChatGPT! This comprehensive guide takes you through the process of starting and scaling your affiliate marketing business using the latest AI technology. Learn how to leverage ChatGPT to generate content ideas, create engaging articles, and connect with your audience through personalized interactions. From building your strategy and optimizing conversions to analyzing performance and staying updated with industry trends, this eBook provides everything you need to know to succeed in affiliate marketing. Whether you're a beginner looking to start your online business or an experienced marketer wanting to take your efforts to the next level, this guide is your roadmap to success in the world of affiliate marketing.
Crafting Seamless B2B Customer Journeys - Strategies for Exceptional Experien...
Crafting Seamless B2B Customer Journeys - Strategies for Exceptional Experien...DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
Customer Experience is not only for B2C and big box brands. Embark on a transformative journey into the realm of B2B customer experience with our masterclass. In this dynamic session, we'll delve into the intricacies of designing and implementing seamless customer journeys that leave a lasting impression. Explore proven strategies and best practices tailored specifically for the B2B landscape, learning how to navigate complex decision-making processes and cultivate meaningful relationships with clients. From initial engagement to post-sale support, discover how to optimize every touchpoint to deliver exceptional experiences that drive loyalty and revenue growth. Join us and unlock the keys to unparalleled success in the B2B arena.
Key Takeaways:
1. Identify your customer journey and growth areas
2. Build a three-step customer experience strategy
3. Put your CX data to use and drive action in your organizationMarketing in the Age of AI - Shifting CX from Monologue to Dialogue - Susan W...
Marketing in the Age of AI - Shifting CX from Monologue to Dialogue - Susan W...DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
The advent of AI offers marketers unprecedented opportunities to craft personalized and engaging customer experiences, evolving customer engagements from one-sided conversations to interactive dialogues. By leveraging AI, companies can now engage in meaningful dialogues with customers, gaining deep insights into their preferences and delivering customized solutions.
Susan will present case studies illustrating AI's application in enhancing customer interactions across diverse sectors. She'll cover a range of AI tools, including chatbots, voice assistants, predictive analytics, and conversational marketing, demonstrating how these technologies can be woven into marketing strategies to foster personalized customer connections.
Participants will learn about the advantages and hurdles of integrating AI in marketing initiatives, along with actionable advice on starting this transformation. They will understand how AI can automate mundane tasks, refine customer data analysis, and offer personalized experiences on a large scale.
Attendees will come away with an understanding of AI's potential to redefine marketing, equipped with the knowledge and tactics to leverage AI in staying competitive. The talk aims to motivate professionals to adopt AI in enhancing their CX, driving greater customer engagement, loyalty, and business success.Influencer Marketing Master Class - Alexis Andreasik
Influencer Marketing Master Class - Alexis AndreasikDigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
Empowering Influencers: The New Center of Brand-Consumer Dynamics
In the current market landscape, establishing genuine connections with consumers is crucial. This presentation, "Empowering Influencers: The New Center of Brand-Consumer Dynamics," explores how influencers have become pivotal in shaping brand-consumer relationships. We will examine the strategic use of influencers to create authentic, engaging narratives that resonate deeply with target audiences, driving success in the evolved purchase funnel.Get admission in various courses and boost your employment opportunities.
Learn various courses and get employment opportunities.
PickUp_conversational AI_Capex, Inc._20240611
PickUp, Improve conversions with scenario-based conversational AI.
Mastering SEO for Google in the AI Era - Dennis Yu
Mastering SEO for Google in the AI Era - Dennis YuDigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.How to Maximize Sales Using Social Commerce
Discover the best practices and strategies on using social commerce to grow your business and drive sales.
Mastering SEO for Google in the AI Era - Dennis Yu
Mastering SEO for Google in the AI Era - Dennis YuDigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.The Future of ''Digital marketing'' .pptx
Digital marketing leverages digital channels such as SEO, content marketing, social media, PPC, and email to promote products or services. It includes affiliate and influencer marketing, mobile strategies, and online PR. Marketing automation helps streamline efforts, while analytics guide data-driven decisions. The objective is to engage target audiences, drive conversions, and build brand loyalty by reaching customers in the digital spaces they frequent.The future of digital marketing will be driven by advancements in artificial intelligence (AI) for personalized content and customer service, and the rise of voice search optimization due to smart speakers. Video content, especially short-form videos, will continue to dominate, while augmented reality (AR) and virtual reality (VR) will enhance customer experiences. Emphasis on data privacy and compliance will grow, alongside the need for seamless omnichannel marketing. Blockchain technology will offer secure digital advertising, and sustainability will become a key focus. With the advent of 5G technology, faster mobile internet will enable new innovations, and advanced personalization will deliver highly relevant content to users.
Efficient Website Management for Digital Marketing Pros
Learn how to optimize website projects, leverage SEO tactics effectively, and implement product-led marketing approaches for enhanced digital presence and ROI.
This session is your key to unlocking the secrets of successful digital marketing campaigns and maximizing your business's online potential.
Actionable tactics you can apply after this session:
- Streamlined Website Management: Discover techniques to streamline website development, manage day-to-day operations efficiently, and ensure smooth project execution.
- Effective SEO Practices: Gain valuable insights into optimizing your website for search engines, improving visibility, and driving organic traffic to your digital assets.
- Leverage Product-Led Marketing: Explore strategies for incorporating product-led marketing principles into your digital marketing efforts, enhancing user engagement and driving conversions.
Don't miss out on this opportunity to elevate your digital marketing game and achieve tangible results!
WTS-Berlin-2024-Veronika-Höller-Innovate-NextGEN-SEO-Merging-AI-Multimedia-an...
Dive deep into the cutting-edge strategies we're employing to revolutionize our web presence in the age of AI-driven search. As Gen Z reshapes the digital realm, discover how we can bridge the generational divide. Unlock the synergistic power of PPC, social media, and SEO, driving unparalleled revenues for our projects.
SEO in the AI Era - Trust, Quality and Content Discovery - Andy Crestodina
SEO in the AI Era - Trust, Quality and Content Discovery - Andy CrestodinaDigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions
We’ve entered a new era in digital. Search and AI are colliding, in more ways than one. And they all have major implications for marketers.
• SEOs now use AI to optimize content.
• Google now uses AI to generate answers.
• Users are skipping search completely. They can now use AI to get answers. So AI has changed everything …or maybe not. Our audience hasn’t changed. Their information needs haven’t changed. Their perception of quality hasn’t changed. In reality, the most important things haven’t changed at all. In this session, you’ll learn the impact of AI. And you’ll learn ways that AI can make us better at the classic challenges: getting discovered, connecting through content and staying top of mind with the people who matter most. We’ll use timely tools to rebuild timeless foundations. We’ll do better basics, but with the most advanced techniques. Andy will share a set of frameworks, prompts and techniques for better digital basics, using the latest tools of today. And in the end, Andy will consider - in a brief glimpse - what might be the biggest change of all, and how to expand your footprint in the new digital landscape.
Key Takeaways:
How to use AI to optimize your content
How to find topics that algorithms love
How to get AI to mention your content and your brandRecently uploaded (20)
Breaking Silos To Break Bank: Shattering The Divide Between Search And Social
Breaking Silos To Break Bank: Shattering The Divide Between Search And Social
Evaluating the Effectiveness of Women-Focused Marketing
Evaluating the Effectiveness of Women-Focused Marketing
Basic Management Concepts., “Management is the art of getting things done thr...
Basic Management Concepts., “Management is the art of getting things done thr...
Get Off the Bandwagon - Separating Digital Marketing Myths from Truth - Scott...
Get Off the Bandwagon - Separating Digital Marketing Myths from Truth - Scott...
How to Start Affiliate Marketing with ChatGPT- A Step-by-Step Guide (1).pdf
How to Start Affiliate Marketing with ChatGPT- A Step-by-Step Guide (1).pdf
Crafting Seamless B2B Customer Journeys - Strategies for Exceptional Experien...
Crafting Seamless B2B Customer Journeys - Strategies for Exceptional Experien...
Marketing in the Age of AI - Shifting CX from Monologue to Dialogue - Susan W...
Marketing in the Age of AI - Shifting CX from Monologue to Dialogue - Susan W...
Influencer Marketing Master Class - Alexis Andreasik
Influencer Marketing Master Class - Alexis Andreasik
Get admission in various courses and boost your employment opportunities.
Get admission in various courses and boost your employment opportunities.
Practical Progress from a Theory by Steven Kingpdf
Practical Progress from a Theory by Steven Kingpdf
Mastering SEO for Google in the AI Era - Dennis Yu
Mastering SEO for Google in the AI Era - Dennis Yu
Learn more about affiliate marketing as a beginner
Learn more about affiliate marketing as a beginner
Mastering SEO for Google in the AI Era - Dennis Yu
Mastering SEO for Google in the AI Era - Dennis Yu
Efficient Website Management for Digital Marketing Pros
Efficient Website Management for Digital Marketing Pros
WTS-Berlin-2024-Veronika-Höller-Innovate-NextGEN-SEO-Merging-AI-Multimedia-an...
WTS-Berlin-2024-Veronika-Höller-Innovate-NextGEN-SEO-Merging-AI-Multimedia-an...
SEO in the AI Era - Trust, Quality and Content Discovery - Andy Crestodina
SEO in the AI Era - Trust, Quality and Content Discovery - Andy Crestodina
Writing for advertising _ TOYOTA
- 1. •The enterprise: TOYOTA (Japanese automotive manufacturer, headquartered in Toyota, Aichi Japan. ) •The Product: Toyota Land Cruiser PRADO •The ad Target: Worldwide high class mainly and part of the middle Redaction Publicitaire: By Abdessamad Ait Dada
- 2. The copy Strategy: this car is strong to be driven in the city as in the wild in Africa (material copy strategy). The promise: - A comfortable and strong car made to drive in the city and the wild as well. - A car that attract attention of everyone, even animals.
- 3. Headline: “PRADO. Be the hero in every road” Reasons of headline choice: As shown in the ad, this car can be used in two different environments (city & wild). People and animals are curious to know who is the hero behind the wheels.
- 4. Body Copy: All in one. Take PRADO and enjoy the comfort of driving wherever you go. It is a car strong enough to be driven in city as well as in the wild. Whoever sees it, wishes to have it. Have it, Enjoy it, Live the moment you are driving PRADO. Reasons of BC choice: As shown in the ad, this car is made for two different environments. People and animals are curious to know who owns it and wishes to have it.
- 5. The ad Messages: - Nuclear message: PRADO can take you everywhere. (Slogan: Let’s go places). - Circumstantial message: This strong car is the right car for your trips and expeditions in Africa.
- 6. The ad Approach: Imaginative. The ad wants us to imagine the great feeling of driving this luxurious car everywhere and people, even animals are staring at you wishing to have it and wishing to enjoy its driving as you do. Copy Type: Think, feel, do copy.
- 7. Choice of Words: “PRADO makes you a hero in every road”. Eight words in one sentence. The main words used are ‘hero’ & ‘every road’. It can be summarized as PRADO = Road hero - Power words: Hero - Toll words: the, in, every. - Full words: make, road, you. What makes the ad attractive, thought-provoking and persuasive? This ad attracts the attention of everyone, because it need some imagination to understand its meaning.
- 8. Three other prepositions of the headline: - Argumentative between communicative and commercial facts: PRADO strength will take you everywhere in Africa. - Direct Act: “Try me, Enjoy me, Love me” - Epidectic/ deliberative: “Do not think about the road, Just enjoy the scenery”
- 9. Locutory, Illocutory and Perlocutory Acts: - Locutory Act: A half dirty and half clean car. Three (African) people and some animals. Part of the city and part of the wild. People and animals examining the car and what’s inside it. - Illocutory Act: I understand that this car is a champ can in the wild as in the city. Wherever you go people will be curious to know who is driving it. It’s attractive to the extent that it attracts even animals. - Perlocutory Act: A car that is desired by everyone. A car that will take you wherever you want. A car that will make you a hero in every road. A car that you fall in love with as soon as
- 10. Slogan Company Reformulation: - The slogan the company: “Let’s Go Places” / “Today, Tomorrow, Toyota” - My formulated slogan: “Just tell me where to go” - Techniques used: I kept the meaning of the original slogan + Few vocabulary+ Polite and direct act.