The ‘Data Management Platform’ or DMP in short for Revive Adserver is a platform that heavily focuses on Analytics; the collection, segmentation, analysis, storage and retrieval of an insane amount of data where entities are created, merged and updated on a constant rate. The data can range from first-party to third-party data. With data comes immense power to make optimal use of marketing campaigns to achieve the best results. Be it in any form, data is always considered as an asset. The magic lies in how advertisers and publisher use this data.

Highlights

Audience Profiling

Helps user understand Audience individual behavior by summarizing and listing all their visit

Geolocation

Locate your Audience for accurate detection of Country, Region, City, and Organization. View the Audience statistics on a World Map by Country, Region, City. View your latest visitors in real time.

Segmentation

User can do Audience segmentation and based on the data revive Advertiser can apply Re-targeting and increase conversion rate

Search Keyword optimization

All keywords searched by your users on search engines like Google, Bing and Yahoo are now visible into your reports.

Effective Tracking

Campaign tracking

Track all Advertiser campaign and their conversion in real time and use it for retargeting

Event tracking

Measure any interaction by users on your websites and apps.

Content tracking

Measure impressions and clicks and CTR for image banners, text banners and any element on your pages;

Scalability

You can keep all your data, without any storage limits, forever! which helps revive publisher to collect their first-party data and aggregate various dimensions of report for publishers to obtain the highest revenue for their ad inventory and website content optimization for attracting more user to their website.

What’s on offer? DMP with Revive

Data Collection

DMP collects data about customers directly from advertisements, websites and mobile applications.

A tracking tag would be placed in the landing page to collect and store the audience data.

The collected data is then matched with the existing first party, second party and third party data.

The data collected is identified and updated holding a baseline constant i.e. a unique identifier.

The unique identifier can be any one data obtained from either user data or device data.

This makes sure that duplication or overlap of data does not occur.

Data Analysis

By analyzing the collected data like users interests, past purchases, clicks, response to specific offers; we can create custom user segments. A complete analysis and evaluation would be done with the collected data.

Segmentation

Segmentation simply means to divide the market into parts or segments, which are definable, accessible, actionable and profitable to gain potential growth. The collected data is then segmented based on the different visitor data attributes. Subdivision of a user into segments with similar characteristics such as location, interest, behaviour, device details, social behaviour and more

Basic segmentation list

Demographic segmentation: Data is segmented according to age, gender, email address, phone number, language, currency and form data.

Environmental segmentation: We are specialized in all MMO, RPG and browser based games.

Domain Based Segmentation: Segmented on the domain details of the visitors based on domain URL, domain name, and page count of domain.

Psychographic Segmentation: Segmentation uses data such as peoples’ lifestyle, activities, interests and opinions to define a market segment. Further, it can be segmented based on purchased products, referrer URL and purchase date.

Campaign Based Audience Segmentation: Segmentation done based on clicks and conversion count of the campaign. The campaign’s performance can be scaled up based on the findings.

Social Based Segmentation: Segmentation is done based on social media sites and the activities taking place such as Facebook likes, Facebook shares, twitter shares and more.

Geographic segmentation: Segmentation takes place based on geographical areas such as city, country, continent, postal code, latitudes, longitudes and more.

Data Transfer

The collected and analyzed data is then leveraged with networks and DSPs. Data is now transformed into information which would be in the form of advertising strategy or business strategy. The advertiser can target a specific group of audience who are potential customers, which makes them the target. Based on the requirements the criteria can be selected based on the macro or micro segments. Through this, marketers get real time insights on the demographic data, which they can use to channelize the ads to the right and potential audience. The DMP enables marketer to know their customers and audience even better, thanks to deeper and clearer insights.

Ad targeting capabilities

By implementing advanced tracking and monitoring the data attained from the DMP, advertisers and publishers can directly or indirectly have control over the type of ads that are relevant to the customer's preference. Here is a list of tracking option DMP users could implement by putting the data from DMP to work.

Geo targeting

Sometimes referred as geo-marketing is determining the geo-location of website visitors using different location parameters and then delivering different ads to those visitors based on their location. Geo location can include country, region/state, city, metro code/zip code, organization, IP address, ISP or other criteria.

Behavioral targeting

The data obtained as behavioral from the internet users i.e. clicks on a particular category of websites or ads, the amount of time spent on a particular site, search preferences and many more. With this data a particular category of ads can be handpicked and delivered to the user that results in effective advertising.

Sociodemographic targeting

Sociodemographic targeting primary focus would be on the characteristics and attributes of consumers, which include their gender, age, salary, nationality, language and many more parameters. The idea is to target users specifically with the intent of providing a better user experience and exposure.

Technical targeting

The data obtained and segmented on the technical aspects of end user is taken into perspective. Data categorization that might include a set of Operating system users, web browsers, devices, search engines and few more parameters. If the target audiences are smartphone users then, the advertiser can use this as targeting criteria in ad campaign. 

Contextual targeting

Targeted marketing for ads appearing on websites or other media, such as content displayed in mobile browsers. The advertisements themselves are selected and served by automated systems based on the identity of the user and the content displayed. The segmented data based on the user’s search preferences and interests can be used to enhance the contextual targeting.

Retargeting

Retargeting is where advertisers use behavioral targeting to produce ads that follow users after users have looked at or purchased a particular item. It’s a very effective process; by analyzing consumer’s activities with the brand they can address their consumers' behaviour appropriately