The MarTech Digest
563.4K views | +0 today
Follow
Your new post is loading...
Scooped by Marteq
Scoop.it!

Persona Research in Under 5 Minutes - Moz

Persona Research in Under 5 Minutes - Moz | The MarTech Digest | Scoop.it
Well-researched personas can be a useful tool for marketers, but to do it correctly takes time. But what if you don’t have extra time? Using a mix of Followerwonk, Twitter, and the AIchemy language API, it’s possible to do top-level persona research very quickly. I’ve built a Python script that can help you answer two important questions about your target audience:

What are the most common domains that my audience visits and spend time on? (Where should I be trying to get mentions/links/PR)
What topics are they interested in or reading on those sites? (What content should I potentially create for these people)
You can get the script on Github: Twitter persona research

Once the script runs, the output is two CSV files. One is a list of the most commonly-shared domains by the group, the other is a list of the topics that the audience is interested in.


marketingIO: One Source for All Marketing Technology Challenges. See our solutions.

Marteq's insight:

And the details are available when you click through (including the instructions). The link to the script is here: https://github.com/craigbradford/using-python-and-twitter-api-for-persona-research 


It's more useful when attempting to target content development.

No comment yet.
Scooped by Marteq
Scoop.it!

Why understanding social media demands social science

Why understanding social media demands social science | The MarTech Digest | Scoop.it

The author frames the challenge succinctly (and correctly).  Granted it is more B2C oriented than B2B, but the B2B marketer will understand the impact (and challenge):


Modern business social media monitoring and analysis demands a disciplined, scientific approach, rather than a non-scalable, miscategorised overview of online opinions. Companies must systematically implement a scientific methodology that moves from mere social listening to social intelligence. This means analysing the content of Big Data, respectfully extracting meaning from public conversations, and making actionable sense out of what is being said. Only in this way can social sources be used smartly to activate and recalibrate marketing, customer service, competitive insights, fruitful prospecting and new business programmes.

 

Of course it’s also important to refine scientific analysis by bringing human judgement into every equation, incorporating a ‘teachable’ algorithm that finds real meaning behind Big Data. It’s critical not to misinterpret artificial results that might skew business intelligence and result in bad decisions.



Marteq's insight:

See the article at www.fourthsource.com.


Receive a daily summary of The Marketing Automation Alert directly to your inbox. Subscribe here (your privacy is protected). If you like this scoop, please share by using the links below.

 

iNeoMarketing merges marketing automation with content marketing for a powerful lead management solution, configured and managed by our knowledgeable, experienced staff.  Contact us.

No comment yet.