PredictiveMarketing

the company that has the most open, easy to use platform usually wins. No black boxes.

The companies that use #predictivemarketing as a tool to understand behavior in order to better the community and those that will bridge the gap between the online and offline social divide.

to me it has to be #devops born in the cloud; horizontally scalable, data driven, global, and real time #futureofdigital

I see two vectors (opptys) 1) outbound and 2) inbound; Outbound are conversations public data integration and CRM is inbound to systems of record

the company that can articulate and account for increased engagement that is EASY TO USE!

Any company that refuses to integrate, partner, and team up with other companies. As I said in an earlier post, the way technology is going today, team work makes the dream work. No one single company will be the "leader" must work together!

Companies that have simple message and value prop then scale up; legacy guys like Marketo are at risk

@John_Bara @furrier agreed. in addition to open, integration to daily workflow solutions & app channels make it stickier & value driven

@KiaMcClainBiz Great point Kia. Love it. The social platforms will make it so.

I wonder how predictive marketing would affect joint ventures between competing companies. Would they be able to swim together?

crowd chat is pretty hot stuff

I'm geeked out too. Great discussion. Awesome content!

I'd like to say we're all nerding out here. :) #MKTGnerd

@amandamaks click on names in chat notice we are capturing all the signals and create auto networks; we can predict many things; great for measured content marketing; Someone called CrowdChat the DVR for active conversations across LN, FN,TWTR

@amandamaks who me nerding, I have no idea what you are talking about. LOL!

Best crowdchat by far!!! I get to be super nerdy without weird stares LOL!

great marketing insights to #EliminateAwkward marketing moments!

@KiaMcClainBiz awesome comment lol

Like the #datascience market predictive tools and platforms will abstract away the complexities and enable relevent faster and more targeted value transactions. It's early innings big time

I will simply say that team work makes the dream work, in today's setting, there is no single winner. Companies that refuse to integrate and be a team player towards overall success will sink fast. No one company is going to be in charge here.

for vendors it's a tried and true formula; reduce the steps to do tasks; make it easy to use; simplify the ability to get value; look at successful companies in the world wide web and social networking mega growth inflection points

everyone uses CRM, social, MAP and you disrupt with branding, new product innovation and delivery model. predictive is an important tool, not a panacea.

@John_Bara these are different though arent they - CRM, MAP about operational efficiencies

Complete #DataTransparency and mutual understanding of how the #PredictiveModel was built (and why)

Yes I agree simplify, and this is why Salesforce continues to win despite naysayers from day one. Doing everything from mobile no matter where team or I are located is priceless. He who simplifies the fastest wins. Integration is king

@John_Bara social is new channel, playing field

different goals, require more specific model, especially in the instance of #PredictiveLeadScoring

Too many moving parts are just inefficient and too time consuming

@John_Bara done right #PredictiveMarketing is a new level of insight internal and external

yes, beyond behavioral and even traditional lead scoring...

Here is an interesting infographic that shows how #PredictiveMarketing is changing marketing. http://www.mintigo.c...

I think folks in the space sometimes use the term interchangeably....but predictive has implications of data mining and machine learning

To me they are closely related, but not the same. Data Analytics show you the past (trends, patterns) so you can plan strategy and Predictive Analytics help you plan for future tactics (who to target and why)

similar but subtle difference. data analytics gives patterns, predictive takes it further to recommended action i.e. which contacts will be most likely buyers.

Yes I agree very subtle John Bara explained perfectly.

difference is part of larger trend moving from Information systems to Decision Support (DSS) systems

before big data just getting the data out of the system was the win

there was sense that the in-house data priests would be able to make sense of it all

data ETL and ISM no longer interesting as IT moves to lines of business

we now have these data consumers who lack the training to make sense of it all, and the priests have left the temple

@sophialwong I agree Sophia, great point.

but the risk is of a new kind of marketing fundamentalism, which takes the data literally and lacks the benefit of experienced insights to separate signal from noise

Kia this is huge question; the web in the 90s had same trajectory; web was laughed at; no ROI; tons of naysayers cc @pmarca talks about this

social is moving faster; yes digital will be social no doubt imo; key is solutions that scale and deliver value (content); minimize steps; simplification; #tablestakes for vendors

as some point it will. What businesses must realize is marketing hasn't changed. It just has more platforms. I do believe that this is starting to be realized.

for us old folks remember @IBM ebusiness that was the web now its socialbusiness soon we won't be even talking about social it will be standard

@furrier I totally agree.

to be a well-rounded plan, I think it would be great for predictive marketing to incorporate online & offline analysis.

great question Kia. Marketing is like a symphony w many instruments. Apple is the best at on-line + offline.

@leahfairman its amazing what B2C have been able to do (see section in infographic)http://www.mintigo.c...

Yes I agree, cannot ignore what is happening offline when consumers are shifting every six months it seems now. There is not longer a "standard" that consumers can be tied down to anymore, tech changes too fast. Giants like Tower Records did not listen.

75% of Netflix recommendations are from #PredictiveAnalytics

And now are closed as a result, I think on an enterprise level predictive may be what is needed to get past antiquated ideas. Remember the saying, the customer is always right?

@mintigo Awesome stats!

35% of Amazon's revenue is driven by its predictive recommendation engines