Advertising Testing, Agile Testing, Big Data Testing, Black-box Testing, DevOps Testing, Functional Testing, IoT Testing, Localization Testing, Manual Testing, Mobile Application Testing, Performance Testing, Regression Testing, Software Testing, Software Testing Company, Software Testing Services, Stress Testing, WebSite Testing

Oniyosys Advertising Testing: For Highest ROI Generation

Ad Testing

Advertising testing is one of the staples of market research as it directly appeals to the measurement and improvements of marketing effectiveness. Ad testing itself comes in a variety of types depending on the specific platform where the advert is in development and implementation.

The purpose of an advert is to create sales, but a good advertising does more than just raising sales value, it awares consumers about the brand and imparts meaning to that brand.


Advertising testing therefore mostly starts with the creative end of the scale looking at concept testing using qualitative research. Various concepts are drawn up and respondents, often in focus groups, but also in direct sensory-emotional depths, describe what they take out of the advert, what they like or don’t like about it and how they think it would affect their behavior. Naturally it’s very difficult for someone to exactly say how they would respond to advertising or which advert they would find most appealing, so researchers take care to introduce the advertising carefully. For instance, hiding the test ad among others, changing the order in which the adverts are shown, giving respondents dials to play with to show interest, or play games like a post-test after the respondents think the testing has finished.


At an initial level, these concept tests can screen out poor adverts those are difficult to understand, but they are often tested before they are fully finished and if can be difficult for respondents to fully imagine the final version. An extension of this type of qualitative testing is qualitative concept development. That is where the research is used iteratively with the creative team to define and refine the ideas. It might start very open and then the design team works up concepts to test, placing them in front of respondents to see how individuals respond neurologically or psychologically to the concepts, then slowing refining and picking winners. This type of iterative development is rare, but is being used more often. With online research it can also be processed into fast-testing to ensure the equal is reflected by small sample quant tests.



The formal testing of advertising which is practically finished is known as pre-testing. This is typically a more quantitative process to evaluate the potential reach and success it can generate. For broadcast advertising, much of the cost is in buying media space so in an advanced form of pre-testing the advertising is tested in a smaller region or area prior to rolling out finally. In this way, the advertising would only be executed if it meets certain goals.


Pre- Post- Test and Control testing

The main testing of advertising is done through a traditional statistical test. It is possible that the collection of advertising to be quite poor but for the advertising itself to have an effect on brand recognition and consideration and other market metrics, almost at a subconscious level, and secondly there is usually an amount of false recognition (around 3-4% in the UK, and up to 5-6% in the US). So to formally measure effectiveness it’s not correct to blindly rely on post-advertising recollection as reported by respondents. Instead measurement is done by a pre- and post- measurement using matched samples. The pre- measurement takes place before the advertising goes live and sets a benchmark. It’s normally constructed carefully to ensure that a range of different awareness and consideration measures are captured firstly without the respondent knowing which company is sponsoring the research, then with prompting to capture additional recollection. The post- measurement then re-measures these details among a sample matched to the pre- sample (matched samples) to ensure statistical replicability. Changes are then made to be constructed directly to the advertising campaign and any other news or information that the advertising generates.


In practice this still might not sufficient to measure the real effect. Changes to the market, or arecent economic or political event or even simple seasonality can cause the post- measurement to change even without any advertising effect. So to control for this a full pre- post- test and control trial can be run. In this design the pre- and post- measures are divided into two areas (typically geographic, such as different locations) – one larger area, the test area where people get to see or hear the advertising and a smaller area – the control – where the advertising is not shown. From this it becomes possible to isolate out the advertising effectiveness from other factors by looking at how measurements changed in the control area compared to how they changed in the test area.


To make this even more effective you can look at test and control areas for different platforms – eg some with radio, some with radio plus poster and so on, so you can start to try to isolate out media effects (generally media has a cumulative effect – that is combined has a bigger effect than either one thing or another separately). Even where there is no formal demarcation it can be possible to infer effectiveness by looking at groups that listen to the radio compared to those who didn’t.


Ad Testing allows you to:


Effectively target key market segments with content that results into resonance.

Get iterative feedback to ensure core messaging sticks, and to share those insights with ad creators and/or stakeholders.

Achieve data-driven confidence when promoting a campaign

Make an informed go or no-go decision when deploying an ad

Evaluate the performance of an ad agency

Get the highest possible ROI out of your ad spend

Predict advertising influence on purchase intent



The following are eight commonly performed ad tests:



Companies need to be worth memorizing if customers are going to consider their products or services. In a recall test, participants see an ad and then wait a specified amount of time before being asked whether they are able to recall a particular ad or product.



A test for persuasion measures the effectiveness of an ad in changing attitudes and intentions. This test assesses brand attitudes before and after ad exposure. Participants answer a series of questions before seeing the proposed advertisement. Then they take a second test to assess how the advertisement changed their attitudes and intentions.



All ads are designed to drive an action or a conversion. This is especially true in the cases of online businesses that rely on click-through and conversion to generate revenue. In a response test, participants receive an ad with a unique identifier (URL string, promo code, phone number, etc.) to track how well the advertisement performs in converting interest to action.



This type of ad test determines which attributes and features the ad is successfully communicating. For instance, a services attribute test might ask whether the ad communicates that a certain computer is reliable or whether it tells more about the highlighted features.



Effective ads communicate the right product or feature benefits to the target market. Benefits might include aspects like comfort, quality, or luxury.



Personal values are a large factor in driving consumer purchase decisions. If a customer is purchasing a car, they may value customer service, vehicle reliability, or the affordability of dealership services. When testing ads it’s important to determine how well an advertisement communicates the personal values of the target market.



Advertisements often communicate higher order values, such as accomplishment, piece of mind, or personal satisfaction that resonates much into audience psychology. These higher order values can have great influence on purchase decisions, brand awareness, and market positioning.



This type of ad testing measures how effective an ad is, based on behavioral and attitudinal goals. These goals will vary by ad and include such factors as whether the ad is entertaining to watch, whether the ad is informative, and whether the ad drives consumers to purchase specific a product of service.


Oniyosys provides Advertisement Quality Testing Service for various types of Ads including Banner Ads, Text Ads, Inline Ads, Pop-up Ads, In-text Ads, and Video Ads etc. We report bad quality ads with its screenshots, HTML code and we take the latest fiddler session which helps clients to remove bad quality ads quickly. We also provide testing for bad quality ads on Chrome and Firefox browsers. Our team is equipped with experienced Digital Experts who can rule out every error and possible faults for better conversion.

Agile Testing, Big Data Testing, Black-box Testing, DevOps Testing, Functional Testing, IoT Testing, Localization Testing, Manual Testing, Mobile Application Testing, Performance Testing, Regression Testing, Software Testing, Software Testing Company, Software Testing Services, Stress Testing, WebSite Testing

Oniyosys Mobile Application Testing: for optimum and seamless mobile web applications

Mobile Testing

Mobile applicatins are at the center of digital revolution across sectors today. Customers now have a lot of options to effortlessly switch to alternative mobile applications and are increasingly intolerant of poor user experience, functional defects, below-par performance, or device compatibility issues. Mobile testing of applications is therefore now critical step for businesses looking for launching new applications and consumer communication. With the latest developments and changing requirements, Oniyosys provides comprehensive mobile application testing services with best output assurance. To cope up with the emerging challenges of complex mobile devices, we provide extensive training and monitoring of the latest trends and development in testing.


Mobile Application Testing:


Here the applications that work on mobile devices and their functionality is tested for better user interface and error checks. It is called the “Mobile Application Testing” and in the mobile applications, there are few basic differences that are important to understand:


  1. a) Native apps: A native application is created for using it on a platform like mobile and tablets.
  2. b) Mobile web apps are server-side apps to access website/s on mobile using different browsers like Chrome, Firefox by connecting to a mobile network or wireless network like WIFI.
  3. c) Hybrid apps are combinations of native app and web app. They run on devices or offline and are written using web technologies like HTML5 and CSS.



There are few basic differences that set these apart:


Native apps have single platform affinity while mobile web apps have cross platform affinity.

Native apps are written in platforms like SDKs while Mobile web apps are written with web technologies like html, css,, java, php.

For a native app, installation is required but for mobile web apps, no installation is required.

Native app can be updated from play store or app store while mobile web apps are centralized updates.

Many native app don’t require Internet connection but for mobile web apps it’s a must.

Native app works faster when compared to mobile web apps.

Native apps are installed from app stores like Google play store or app store where mobile web are websites and are only accessible through Internet.


Significance of Mobile Application Testing



Testing applications on mobile devices is more challenging than testing web apps on desktop due to


Different range of mobile devices with different screen sizes and hardware configurations like hard keypad, virtual keypad (touch screen) and trackball etc.

Wide varieties of mobile devices like HTC, Samsung, Apple and Nokia.

Different mobile operating systems like Android, Symbian, Windows, Blackberry and IOS.

Different versions of operation system like iOS 5.x, iOS 6.x, BB5.x, BB6.x etc.

Different mobile network operators like GSM and CDMA.

Frequent updates – (like android- 4.2, 4.3, 4.4, iOS-5.x, 6.x) – with each update a new testing cycle is recommended to make sure no application functionality is impacted.




Types of Mobile App Testing:


To address all the above technical aspects, the following types of testing are performed on Mobile applications.


Usability testing– To make sure that the mobile app is easy to use and delivers a satisfactory user experience to the customers


Compatibility testing– Testing of the application in various mobiles devices, browsers, screen sizes and OS versions according to the requirements.


Interface testing– Testing of menu options, buttons, bookmarks, history, settings, and navigation flow of the application.


Services testing– Testing the services of the application online and offline.


Low level resource testing: Testing of memory usage, auto deletion of temporary files, local database growing issues known as low level resource testing.


Performance testing– Testing the performance of the application by changing the connection from 2G, 3G to WIFI, sharing the documents, battery consumption, etc.


Operational testing– Testing of backups and recovery plan if battery goes down, or data loss while upgrading the application from store.


Installation tests– Validation of the application by installing /uninstalling it on the devices.

Security Testing– Testing an application to validate if the information system protects data or not.



Test Cases for Testing a Mobile App


In addition to functionality based test cases, Mobile application testing requires special test cases which should cover following scenarios.


Battery usage– It’s necessary to keep a track of battery consumption while running application on the mobile devices.


Speed of the application- the response time on different devices, with different memory parameters, with different network types etc.


Data requirements – For installation as well as to verify if the user with limited data plan will able to download it.


Memory requirement– again, to download, install and run


Functionality of the application– make sure application is not crashing due to network failure or anything else.


Oniyosys Mobile Testing Practice comprises of a unique combination of skilled software engineering and testing teams with proven expertise in testing tools and methodologies to offer a wide range of testing solutions. We offer our services across all major Mobile Devices, Platforms, Domains and Operating Systems.

Agile Testing, Big Data Testing, Black-box Testing, DevOps Testing, Functional Testing, IoT Testing, Localization Testing, Manual Testing, Mobile Application Testing, Performance Testing, Regression Testing, Software Testing, Software Testing Company, Software Testing Services, Stress Testing, WebSite Testing

Oniyosys Localization Testing: For Better Optimized Market Specific Softwares

Localization Testing

At Oniyosys, we are dedicated to our commitment in performing all testing for the improvement of software lifecycles. Localization testing requires professional knowledge and careful control of the IT environment: clean machines, workstations, and servers with local operating systems, local default code pages, and regional settings within a controlled system configuration are only a few reasons. Moreover, the knowledge and experience gathered from testing one localized version can provide ready solutions that may be needed in other versions and locales, as well.

What is Localization Testing?


Localization Testing is a software testing technique, where the product is checked to determine whether it behaves according to the local culture, trend or settings. In other words, it is a process of customization of a specific software application as per the targeted language and country.


The major area affected by localization testing includes content and UI. It is a process of testing a globalized application and its UI, default language, currency, date, time format and documentation are designed keeping in mind the targeted country or region. It ensures that the application is otimized enough for using in that particular country.




  1. If the project is designed for Karnataka State in India, The designed project should be in Kannada language, Kannada or relevant regional virtual keyboard should be present, etc.


  1. If the project is designed for the UK, then the time format should be changed according to the UK Standard time. Also language and currency format should follow UK standards.


Why to do Localization Testing?


The purpose of doing localization testing is to check appropriate linguistic and cultural aspects for a particular locale. It includes a change in user interface or even the initial settings according to the requirements. In this type of testing, many different testers will repeat the same functions. They verify various things like typographical errors, cultural appropriateness of UI, linguistic errors, etc. It is also called as “L10N”, because there has 10 characters in between L & N in the word localization.



Best practices for Localization testing:



  • Hire a localization firm with expertise in i18n engineering
  • Make sure your localization testing strategy enables more time for double-byte languages.
  • Ensure that you properly internationalize your code for the DBCS before extracting any text to send for translation



Sample Test Cases for Localization Testing


S.No Test Case Description

  1. Glossaries are available for reference and check.
  2. Time and date is properly formatted for target region.
  3. Phone number formats are proper to target region.
  4. Currency for the target region.
  5. Is the License and Rules obeying the current website (region).
  6. Text Content Layout in the pages are error free, font independence and line alignments.
  7. Special characters, hyperlinks and hot keys functionality.
  8. Validation Message for Input Fields.
  9. The generated build includes all the necessary files.
  10. The localized screen has the same type of elements and numbers as that of the source product.
  11. Ensure the localized user interface of software or web applications compares to the source user interface in the target operating systems and user environments.

Benefits for Localization Testing


Following are the benefits of localization testing



  • Overall testing cost reduction
  • Overall support cost reduction
  • Helps in reducing the time for testing.
  • It has more flexibility and scalability.




Localization of Testing Challenges:


Following are the challenges of localization testing



  • Requires a domain expert
  • Hiring local translator often makes the process expensive
  • Storage of DBCS characters differ in various country
  • Tester may face schedule challenges



At Oniyosys, we conduct localization testing to ensure that your interactive project is grammatically correct in a variety of languages and technically well adapted to the target market where it will be used and sold. It requires paying attention to the correct version of the operating system, language and regional settings.