market research

A Network Analysis Process

A Network Analysis Process:

1. Subscribe to a social media monitoring service with a very hefty set of data (i.e.- Brandwatch)

2. Create an accurate query within this monitoring solution related to your marketplace. Date this query back 24 months. The goal with this step is to discover the largest networks (pages, groups, authors) related to a marketplace.

3. Go to the Export function within the monitoring solution and export the entire data set related to your 24 month query. Every row.

4. Isolate ONLY the Twitter results in an Excel document. In addition, isolate ONLY the Facebook results (in Excel).

5. Subscribe to Full Contact API ( https://www.fullcontact.com/developer/ ) at the highest level you can afford.

6. Download the Full Contact Person Enrichment Template (FCPET) from Full Contact API.

7. Set the Seed at 3 or above (in the FCPET document). Set the source to either Twitter Handle or Facebook ID.

8. Ensure you have a rock solid Internet connection.

9. Paste all Twitter handles from the data export into the first column of the FCPET document. Run the append.

10. Paste all FB handles from the data export into the first column of a second fresh FCPET document. Run the append.

11. Keep the results in the FCPET in exact order from the Brandwatch data export. This is so you can paste in a few columns from the Brandwatch export, such as sample mentions, account type (Individual or Organization), gender, etc.

12. Hire an analyst to meticulously go over the resulting spreadsheets and clean out the junk and spam authors. Use other tools, such as Melissa Data ( http://www.melissadata.com/ ) and Intelius ( https://www.intelius.com/ ) to append more data in additional columns.

13. Organize by Impact score (Brandwatch) or by Region or by any other criteria important to you (use the Data sort function in Excel to do this).

You can use the final sheet to plan content-marketing, derive insights on markets, and understand competitor activity. You can also determine the “real people” talking about your brand using this approach.

Social Business Intelligence Advance #4

The business intelligence solution that marketers want is the following: a cloud-based service that is comprehensively analyzing in real-time networks of regular customers AND matching these customers (and their friends) to upcoming deals specific to past purchases. For instance, if Amazon were to fully integrate its data with Facebook’s data, a profound level of matching would become possible. Senior leadership within major FMCG and retail entities should be actively cultivating technical vendors and in-house technicians to achieve this type of customer intelligence solution.

Social Business Intelligence Advance #1 and #2

When social business intelligence solutions provide a “Create Prospects CRM” button, the social analytics industry will have leapt one more notch forward. What it looks like is this: a series of 10,000 individuals have commented on a specific brand/issue over 1 month AND this CRM button collects Name, Current Address, Current Phone, Current Email, Current social links for each individual. Instantly. Downloadable in a CSV format or a colorful PDF “dossier-style” format. The social media monitoring solution that offers this button will become a global leader in prospect generation.

Advance number two is when this service is fully applicable across global borders, delivering such info for residents of all nations.

The Sweet Spot in Social Business Intelligence for Weaving Marcoms and Sales: The Machine & Marketing/Sales Process

CONTEXT:
A fierce debate still rages between marketing and sales in most organizations as the enterprise seeks to understand how to use social data for both silos. With exceptional software and smart cross-silo relations, marketing and sales can collaborate on nurturing and closing ideal prospects. This blog post has outlined the type of software needed to do this AND a sample sales approach for teams to consider.

WHAT THIS POST COVERS
This post covers three specific topics:

1. The exact description of an ideal social business intelligence “machine” that would serve both marcoms and sales.

2. The functionality this social business intelligence machine would possess.

3. A set of potent actions that combine a bit of marketing and bit of sales, thus demonstrating how one can progress from market research (using social data) to a closed sales deal.

THE IDEAL SOCIAL BUSINESS INTELLIGENCE MACHINE: The sweet spot for social business software is between the marcoms & sales silos, between pools of potential fans & fresh prospect data. The social business software of tomorrow will bring understanding between marcoms and sales, will create an easy funnel for “smart” fans/followers to become customers. Deriving prospects from social data has never been easier with the combination of solutions now avail to the marcoms & sales silos. Now these solutions need to be “merged” into one single machine. I describe this machine below.

THE EXACT FUNCTIONS OF THE IDEAL SOCIAL BUSINESS INTELLIGENCE MACHINE (as desired by Marketing and Sales silos):
In the coming powerful social business intelligence software (the “ideal machine”), we will see the following features:

1. Dials to find the exact people fitting prospect profiles. Imagine being able to pull every profile from every major social network AND THEN have dials to hone results down to exactly the customer profiles your business seeks.

2. Get suggestions from the software (from “the machine”) of other “pools of prospects” and prospect types BASED UPON your initial search.

3. Then, imagine pushing a “button” and getting current phone, email, physical address, add’l social links appended on-the-fly to the social profiles discovered thus far in the process above.

4. Now, mix in Topics of Influence & Volume of activity by each profile relative to the themes in your marketing & sales campaigns.

A SET OF POTENT ACTIONS FOR MARKETING & SALES AFTER EXTRACTING IDEAL PROFILES FROM THE SBI MACHINE:

1. STUDY THE LAST FEW DAYS OF TWEETS/SOCIAL MESSAGING: See what the individual is talking about. What is important to him/her? Jot down one or two specific points about these tweets/social posts/forum comments that you can compliment him/her on.

2. STUDY THE WEBSITE OF THE INDIVIDUAL: See how the individual presents himself/herself to the world. Find one to two items on the website to compliment the person about. This will make the call warmer and open an opportunity to collaborate.

3. SEND AN EMAIL TO THE PROSPECT FIRST: A powerful way to invite the person is to send a personal email wherein you introduce yourself briefly, lace in the compliments you discovered through Twitter, other social properties, blog comments, and his/her website, and then invite the individual into a collaboration.

See below sample of an email to send:

Dear Tom,

I am a Client Partner at BrandX, an FMCG group based in Los Angeles, California. Your materials online and, in particular, your steady stream of tweets chronicling your typical business process have impressed me. Would you have some time during the coming week to discuss what you are up to, what we are doing, and a possible collaboration with us?

Kind regards,

Client Partner
BrandX

4. SCHEDULE A PHONE CALL: When you get a reply to your email, schedule a call with the person. The call will involve listening to the Prospect, letting him/her know what we appreciate about him/her, what we saw in his/her materials and then working on an idea to collaborate on. It is a good plan to come to the call with some options that are personalized.

SUMMARY:
A fierce debate still rages between marketing and sales in most organizations as the enterprise seeks to understand how to use social data for both silos. With exceptional software and smart cross-silo relations, marketing and sales can collaborate on nurturing and closing ideal prospects. This blog post has outlined the type of software needed to do this AND a sample sales approach for teams to consider.