Marketing Attribution

Going beyond basic last-touch, first-touch attribution or participation reporting use sophisticated attribution analysis capabilities. 

Attribute credit across all types of marketing events, offline and online and across channels be it a YouTube TrueView video ad or a TV ad, an Instagram photo or a promoted tweet, product discount coupon or a banner ad from a remarketing campaign etc.

Use new models of Marketing Attribution like Time-decay model, Position based model etc.

Integrate with DSPs (Demand Side Platforms) to make real time changes to bids and ad positons, locations etc. based on attribution data available from analytics. 

Programmatic buying the current technology where trading desk managers can buy ad spots across millions of targeted pages, apps, social media networks in the required ad format (video, page overlay display, keyword etc.) in seconds using automated bids. Guide these programmatic buys through analytics to distribute the marketing spend optimally.

Following are popular Marketing Attribution Tools:

• Adometry (now Google Attribution 360)
• Visual IQ

Signature: Roopkumar T.V.

Customer Experience Analytics

Basic conversion funnel reports, user navigation or pathing reports are now outdated and least used methods to measure customer experience. 

Analyse the customer journey across devices and across channels before they converted. Understand which digital properties (website, mobile website or mobile app) are high performers and which are laggards in terms of customer experience. Which devices (tablets, mobiles etc), platforms (iOS, Andriod, windows), networks, cities the customers are on. Set up multi-channel funnel reports to understand the online sales cycle, understand how each channel in the funnel path contributed to conversion. 

Use pages, app screens, events, goals, e-commerce events and transactions to set up and analyze custom funnels. Where do the customers enter the journey and where do they drop off or loopback to previous stage.

Test multiple versions of landing pages, different ad content, different copies of articles (content marketing), different social media posts etc. using A/B or MVT tests before releasing the most effective content copy or landing page to each segment. 

Test multiple versions of goal funnel flows, understand and implement the funnels which have the least drop offs or loopbacks and highest goal completions. 

Target multiple versions of pages, promos, content across multiple customer segments to enable personalized customer experiences. 


Signature: Roopkumar T.V.

Audience Analytics

Understand who is my audience? Collect first party data (from owned media like mobile apps, websites, kiosks etc.), second party data (from partners) and third party data (from data aggregators etc.) to build customer profiles. 
Build segments based on customer profiles available in the DMP. 

Develop marketing campaign strategy, content and content marketing strategy targeted at high priority segments. Developing this strategy involves integrating these audience segments available in the DMP with the Marketing Attribution, DSPs and Customer Experience Analytics platforms and involving multiple business stakeholders for executing the true value of the DMP.

Test multiple versions of the ad campaigns, and marketing content in real-time by integration of the DSP with audience segments available in the DMP. Testing provides a continuous improvement cycle for targeting the marketing campaigns more effectively.

Similarly test multiple versions of pages, app screens, conversion funnels, user flows etc. on your mobile apps or websites in real-time by integration of the Customer experience analytics platforms with audience segments available in the DMP. Testing provides a continuous improvement cycle for sales and other goal completions on the website or mobile app.

Signature: Roopkumar T.V.

Digital Analytics Enablement Overview

Any organization’s successful Digital Analytics execution is solely dependent on the quality of data available. With multiple platforms used for measuring and optimizing Marketing Attribution, Customer Experience improvements and Audience segments, having ready availability of quality data is the primary challenge which can enable or disable any well-articulated Digital Analytics Strategy.

Successful execution of a Digital Analytics Strategy begins with the right analytics enablement plan which involves

1. Business consulting – business analysis, interviews with key stakeholders, understand the business objectives, document business needs

2. Functional analysis of different departments which use Digital Analytics information for making business decisions and preparing a measurement strategy for each of them

3. Technical analysis of digital properties like websites, mobile apps, kiosks etc. digital channels and social media channels and developing a technical implementation plan for each of them

Tag management is the primary method used in Digital Analytics for collection of data used in Marketing Attribution for improving marketing efficiencies, driving improvements from Customer Experience Analytics and is the most important method for collecting first party data used in Audience Analytics.

A successful analytics enablement plan to drive best in class Digital Analytics strategy requires efficient systems and people for Tag Management.

Signature:

Roopkumar T.V.

Mobile App Analytics Tools

A lot of new vendors have started emerging in the mobile app analytics space

1. Google Analytics for Mobile Apps
2. MixPanel
3. Localytics
4. Appsflyer
5. Flurry

With the exception of Google Analytics, every other vendor listed above have been mobile first, focusing first on Mobile App analytics. Google Analytics has been able to quickly catch the changing trends in customer behavior and preferences, such as reduced Average Time Spent on PC websites/ web interfaces and increased Average Time Spent on mobile apps or mobile websites. 

In the largest Internet market by Revenue and RPU the US, Average Time Spent by the users browsing on mobile devices has already overtaken the Average Time they spent with PC interfaces making US a  'mobile first' market. 

Be it in US, EU, China, India, South East Asia or any other large internet market by number of Unique Active Users, Total Time Spent by users on mobile apps or mobile browsers has overtaken the Total Time Spent on PC websites / web interfaces.

Google Analytics is a 'must have' for every organization which deploys digital analytics, given it's powerful integration with Google Adwords, the leader in Digital Marketing execution and many other powerful features included in Google Analytics 360. Also, additionally MixPanel is a very useful tool which needs to be deployed in every important mobile app, given a lot of case studies of top mobile apps (like Uber, Airbnb etc.) using MixPanel.

Signature:

Roopkumar T.V.