social media monitoring

Social Intelligence of The Future — Focus on shortening the distance between the consumer and the brand

These are questions that we can be answering using insights from social data.

What can social data tell us about our consumer’s actions? What is he/she doing on a daily and hourly basis?

What experiences are our consumers having?

When our consumer turns away from a major brand, what is he/she turning towards?

What is our consumer experimenting with? Can we experiment with him/her?

How can we help our consumer as he/she faces so many choices?

How can we help our consumer determine what sources of information are valid?

Are we discovered in the midst, even at the core, of our consumer’s trusted sources of information? (influencers)

What does it mean to be seen as a basic utility by our consumer?

What does it mean to be the answer to our consumer’s “short term” needs/decisions/desires?

How can we help our consumer with small actions on an every day basis?

How can we be more pragmatic vs ideological as a brand? How can we be the answer for our consumer’s pragmatic questions and needs?

How can we help our consumer as he/she evaluates and re-evaluates his/her decisions about the smallest things? Where can we appear during that consideration phase?

How can we be there when our consumer acts impulsively? Where and when does he/she act impulsively?

How does our consumer’s “operating system” work? How can we “hack” or “patch” into his/her operating system?

How can we create activity that fits within our customer’s existing behavior (based on lots of small data points)?

The Future of Social Intelligence

These are a few initial thoughts on the future of social data intelligence software.

We have reached the year when AI will have more influence upon social intelligence tools. What this means is that AI technologies will play a more significant role in producing insights from social data.

Analysts will continue to play a strong role in social data tools, with an increasing role in training “the machine”. What this means is that analysts will actively work with programmers to teach the machine how to do what they do.

The machine will improve on sentiment assessment but will not be 100% accurate during 2016. Analysts and machine learning experts will work hand-in-hand to improve this.

There will be an all-out fight related to privacy in the coming years, which will end in humans submitting all personally identifiable information (PII) in the interest of finding out more about themselves.The operating system from Spike Jonze’ film “Her” will become possible and will be so appealing that people will willingly submit their PII. This change in attitude to privacy will cause entities such as FullContact API to rise in importance. See this link for the “Installing Samantha” scene from the film “Her”, where Theodore installs the intelligent OS – https://www.youtube.com/watch?v=n1AjtIAje3o

All known languages will be scanned by social media monitoring in the next three years.

The ability to run on-the-fly focus groups will also become an important aspect of the value proposition by social media monitoring tools. See this video on the subject: https://vimeo.com/143879132

The Power of the Listening Hub for the Enterprise

The purpose of this post is to outline a few best-practice actions as related to set-up and the early months of running a Social Media Command Center (SMCC) within a major brand headquarters. Such pilot programs demonstrate the types of insights and recommendations possible through the implementation of a SMCC.

First, let’s start with some definitions:

DEFINITIONS:

Social Media Command Center (SMCC) – A centrally located space where monitors (or signage screens), PCs and desks are configured for research of social data (and other data as prescribed) by in-house employees and 3rd party vendors. The SMCC provides a way to visualize data in various configurations relative to the needs of the corporation. The focus of research at a SMCC is social data.

The phrase “command center” has become common due to the central data research function relative to a brand’s outlets or regional offices. Insights and recommendations relative to past events, current initiatives and/or future opportunities are distributed from the command center.

A SMCC can be used for actions by various silos (upon approval). Such actions can include Marketing Campaign planning & engagement, PR response, HR discovery, Sales prospecting, Customer Service, Call Center integration, Competitive Intelligence, Customer Intelligence, company overview for the C-Suite and much more.

A fully realized SMCC is more than just a research center. The SMCC can be populated by representatives from each silo/department. The representatives can be authorized to take immediate action on critical issues. Policies can be put into place that give these representatives acceptable parameters for action and response.

For example, Customer Service representatives present within the early-stage SMCC can demonstrate an enhanced response time to resolving customer needs. Other names for a SMCC include Social Listening Center, Listening Center, Social Analytics Research Facility, Web Intelligence Center and Data Research Facility.

Social Data – Data specifically derived from the Internet and social networks, such as Facebook, LinkedIn, Twitter, YouTube, Google+, Pinterest, Slideshare, Instagram, blogs, online forums, websites, and other online communities/networks. The data is public information, meaning it can be accessed by anyone.

VALUE:
The value of a SMCC to a brand or corporation includes:

– provides the possibility to view all mentions of the brand online
– provides the possibility to view all mentions of competitors online
– provides the possibility to discover key influencers as related to the brand, market space and competitors
– provides the possibility to monitor actions by competitors online
– provides customer insights based on conversations online
– provides recommendations for action to be taken in multiple silos at the brand/corporation
– provides recommendations for research projects related to customers, competitors and corporate initiatives

SAMPLE RESEARCH PROJECT SUMMARIES:
The following sample projects demonstrate just a few types of research possible through the use of a SMCC.

Brand Audit – An overview of mentions and sentiment related to the brand. An overview related to brand initiatives using specific search terms. A comprehensive audit of where the brand is being mentioned and by whom. Discovery of key influencers driving opinion about the brand, the maret segment and competitors. A study of competitors’ to the brand and a comparison of mention volume, sentiment and other factors.

Product Launches – As specific new product lines are launched, the SMCC staff can provide key internal decision makers with valuable insights based on mentions.

Marketing Planning Projects – Planning as related to marketing can be enhanced through the use of a SMCC. Specific marketing projects can be created as a result of listening to customer and competitor conversations and noting trending topics. Creatives from the brand & third-party agencies can collaborate in a SMCC while viewing visualizations of mentions and complex query results.

Example: Monitor conversations during brand campaign launches and create on-the-fly sub-marketing campaigns for specific regions/cities based upon mentions. Discover influential voices online (individuals and/or specific sites) that are either detracting or celebrating the brand.

Sales Prospecting Projects – Sales directors can discover prospects for sales teams, along with detailed on these prospects. A SMCC can be used by sales strategists to created finely segmented lists of prospects. The SMCC can also be used to gather and append valuable contact and demographic data to each individual prospect.

Example: Monitor specific regions and deliver B2B prospect lists to enterprise sales staff in those regions. This is based on conversations in those regions by ideal B2B prospects. Deliverable includes a list of B2B prospects in a region with appended contact/social data and intelligence on each prospect (why this is a good prospect for brand business services in that region, along with suggested ways to gain advantage with specific example). The ultimate goal with this project is to demonstrate the efficacy of social data in helping sales leaders close deals for brand Business Services.

Human Resources Discovery – Human Resources can quickly discover ideal candidates for positions within the corporation. Insights on employee sentiment within the brand can be delivered to HR from SMCC analysts. Insights on sentiment of employees at competitors can be delivered to HR also with the SMCC program.

Example: Identify lists of ideal prospects for specific positions at brand and/or brand franchises. Demonstrate how social data can yield ideal prospects for HR purposes. Monitor employee sentiment related to specific initiatives, discover ratings by ex-employees or current staff at sites like Glassdoor.com and LinkedIn.com. Monitor employee sentiment at competitors and discover opportunity for recruitment/head hunting/competitive intelligence. Monitor partners and vendors. Discover core differences between existing partners/vendors and their competitors.

PR Response – Analysts at the SMCC can provide valuable and quick insight into mentions of the brand online. Response times to positive or negative mentions online can be greatly reduced by having one central research hub. In addition, the ability to quickly visualize threats/opportunities, along with ability to append valuable conversation and contact data, will greatly enhance critical PR efficiency. Monitor “watchdog” reports related to specific products at brand.

Example: Monitor specific regions and/or franchisee locations for mentions and sentiment. Develop insights for these regions/franchisees on what customers/local inhabitants are saying about those store locations. Monitor global sentiment relative to competitors – what PR issues are our competitors dealing with. Discover specific threats to the brand. Discover specific social proof (positive trends & mentions) related to the brand.

Customer Service – Customer Service is perhaps the most valuable action within the SMCC. The ability to aggregate/analyze customer sentiment as demonstrated in online conversation and respond quickly to the needs of one’s customers is greatly enhanced in the context of the SMCC. Again, a fully realized SMCC is more than just a research center. The SMCC can be populated by representatives from each silo/department. The representatives can be authorized to take immediate action on critical issues. Policies can be put into place that give these representatives acceptable parameters for action and response. The Customer Service representatives present within the early-stage SMCC can demonstrate an enhanced response time to resolving customer needs.

Example: Monitor specific regions and/or locations for mentions and sentiment. Develop insights for these regions/franchisees on what customers/local inhabitants are saying about those store locations. Monitor mentions related to specific brand products and competitors’ products. Discover venues for providing swifter service, product complaints and other online arenas where brand brand word of mouth is spreading. Recommend specific programs or amendments to existing programs at the brand.

Competitive Intelligence – The SMCC can provide insights related to activities by competitors online, and also to the customers, vendors and employees of these competitors. As a sub-set of this research, we can monitor partners and vendors.

Enterprise level planning and campaign execution

Earlier this morning, I tweeted a series of actions a large enterprise could weave together for superior planning and campaign execution. The following sequence is an expansion of those tweets into a powerful method for market research and execution of digital campaigns/building of social communities online:

1. Achieve superior market intel by pairing newly minted predictive data solution at @Fliptop with the truly massive product index at @Indix

Fliptop is providing predictive lead scoring using internal and external data. Connects with CRM and Marketing Automation to deliver immediate impact to increase revenue. Indix is offering software for product aware apps, product intelligence, price intelligence, competitive intelligence. Indix has produced what they claim is THE ultimate map of all products on the planet. When one pairs scored leads relative to specific products, one has assembled pools of ideal customers. Pairing Fliptop with Indix is a method for assembling pools of ideal customers for products.

2. Continue the project mentioned in last tweet using @Fliptop & @Indix by appending deep social media resources via @FullContactAPI.

Full Contact offers a mechanism for appending social data to emails in the context of a spreadsheet. When an organization takes the “pools of ideal customers” from the previous step and then appends social data to each customer in its CRM, the result is a way into the deep conversations occurring around specific products. An analyst can also extract other meaningful connections through studying what specific pools of customers are talking about and what trends are developing in those pools. More on how to find those trends in the next step.

3. Bring further depth to aforementioned @Fliptop @Indix @FullContactAPI project by processing entities thru @RecordedFuture temporal analytics.

Recorded Future scans hundreds of thousands of quality public web sources, including news publications, high-caliber blogs, social media platforms, financial databases, government websites, and much more. From these open sources, RF identifies text references to entities and events. Then RF detects time periods: when the events are predicted or reported to occur. Each reference links back to the original source. RF can explore the past, present, and predicted future of almost anything in a matter of seconds. RF’s analysis tools facilitate deep investigation to better understand complex relationships, resulting in actionable insights.

When an analyst takes entities from the previous step in this process and performs analysis on these entities, he has the opportunity to find specific times in the future when a product might be better received. In addition, there may be an opportunity through using the specificity of Recorded Future to literally change a future event simply through when a product is launched. RF offers an analyst myriad signals from web intelligence that can inform a smarter strategic positioning for product launch, product recall and customer acquisition. By knowing what is happening with prospects and competitors through the RF panel, a product dev team can more accurately create a unique selling proposition in the marketplace.

Watch this video for more on how Recorded Future uses web intelligence to produce foresight in markets: http://www.youtube.com/watch?v=a62XTMufWQI

4. After using @RecordedFuture (step 3 in this tweeted process), apply @Brandwatch to extract meaningful mentions from resulting data set

Brandwatch is offering a superior listening & data visualization solution that will bring precise conversation analysis into this process. In addition, one may assemble a scale of influence relative to a product, market segment and/or pool of customers. Finally, Brandwatch has just launched a powerful data visualization format called Vizia that is helpful for C-Suite decision makers to quickly digest complex analysis on a real-time basis. The solution rivals previous set-ups by rivals and will inform the next generation of social media control centers globally. See this sample of Brandwatch Vizia in action: http://www.youtube.com/watch?v=wvx_yNn_McQ

5. As the penultimate step to ultimate customer intel, deposit nice neat sheet from previous 4 steps into @SpotRight machine for laser insights.

We can further refine insights derived through the Brandwatch methodology by placing data into the Spotright.com process, where truly massive amounts of customer intelligence have already been segmented, tagged and defined. No entity on the planet has assembled such an expansive and deep set of intelligence on individuals as Spotright.com. The principals at Spotright bring a rich diversity of backgrounds and have assembled the ultimate catalog of individuals who buy products. A team choosing to use Spotright at this stage will find verification of previous findings AND, importantly, matches to its internal CRM of customers. Spotright is how to find customers just like your existing regulars.

6. For awareness-bulding actions based upon previously tweeted research sequence, execute campaigns using @JiveSoftware for maximum reach.

To bring an enterprise portfolio of products to market, use Jive Software. Now that the full market research has been completed in the previous 5 steps, it is time to take action. A powerful solution for taking action is Jive, which blends internal facing and external facing capabilities, making team-work across the silos far more efficient. In addition, Jive offers a suite of solutions for building awareness on a massive scale in the social fabric of the Internet. Watch this video for more understanding of how this works on the inside of a large FMCG group: http://www.youtube.com/watch?v=_ISa0VBkyOM

To run this six step process is a means to unlocking powerful potential in online communities for community engagement and sales growth.

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.