The team at kbs+ Ventures is excited to announce our investment in SocialFlow, a platform that is changing the way that brands engage users via social media. We participated in the company’s $10 MM Series B funding round which was announced today.
As Techcrunch notes:
The company now has solid traction in the enterprise, where brands like Walmart, Pepsi, Burberry and others are among the over 70 enterprise customers who have adopted SocialFlow’s technology. Its customers operate in a number of industries as well, including retail, automotive, consumer products, hospitality and more. Six of the ten largest media companies are actively using Cadence, the company notes.
At kbs+ Ventures, we focus heavily on identifying and investing in companies that leverage data in innovative ways across traditional and emerging ad stacks. SocialFlow turns billions of disaggregated pieces of social content into a predictive analytics solution for brands to manage how they deliver messages and engage with audiences across earned, owned and paid media.
Given that our team sits within an ad agency, we see and hear about how brands are leveraging social on a daily basis. From our vantage point, we believe that SocialFlow will be able to make a meaningful improvement in the lives of social marketers and we’re excited to partner with the company as it grows.
We trust that Missy, Frank and the entire SocialFlow team will continue pushing forward in innovative ways and would like to congratulate them on closing this round of funding.
We’re hiring a Venture Associate Intern (Winter-Spring 2013). Here’s the details.
Who we are
kbs+ Ventures is the early-stage investment arm of the marketing services agency kbs+. We invest in early-stage (Seed and Series A) entrepreneurs focusing on innovation in advertising and marketing technologies. More about kbs+ Ventures, our portfolio, our investment and acceleration philosophy, and our team is at http://kbsp.vc
Who we’re looking for
Venture Associate Intern to assist with identifying and assessing potential investments and creating and distributing external communications.
Roles and Responsibilities
Skills and Requirements
Contact Taylor Davidson at tdavidson(at)kbsp.vc to discuss. Please send:
…PlaceIQ’s Duncan McCall about his brand new case study that demonstrates 118% in-store sales lift for auto parts company Meguire’s (3M subsidiary) after applying precise location targeting. The campaign used PlaceIQ’s data to identify areas with high indexes of the desired user profile (auto enthusiast) and nearby Meguire’s locations. Rich media ads from Medialets were then displayed to capture user interest and provide nearest store locations. The result was not only sales lift, but a $1.31 return for every campaign dollar invested, a 2x engagement rate compared with Medialets’ benchmarks, and a 150% increase in response rates such as watching a video, finding closest store, or browsing products. “After analyzing sales from markets exposed, compared to control markets not targeted,” McCall said, “this real measurable retail ROI indicates the power of mobile audience targeting using location data.” — Place Off: A Week in the Life of the Mobile Local Revolution | Street Fight
[Rewind’s] redesigned app will soon add support for Facebook and Instagram check-ins to help better understand the places your friends on those services have been. In the coming weeks, they’ll be turning on the scoring system, where you’ll essentially develop a Klout-like score based on your knowledge of certain types of venues. The hope is that a Mexican restaurant, for instance, will be able to reach out to and reward the users who are most knowledgable — and thus most influential — about Mexican restaurants.
(via Rewind.me redesigned from the ground up to help better understand your foursquare history)
Intent Targeting Is The Answer For Yieldbot CEO Mendez -
What is a typical use case for Yieldbot products today?
Publishers’ business is based on traffic, page views. However, they have never had a monetization system that intelligently understands what attracted the intentions of that traffic on every single page view of that site.
We allow publishers to see their site through the lens of intent by resolving every page view to multiple keyword values. They are ranked similar to “quality score” in search. We bring that all together into our analytics package where publishers are able to see through the words and the intentions of their visitors what’s working and what’s not working.
We are able to understand at the URL level – the URL of the page is our atomic unit of data collection. We are looking every single referrer and every single visitor that comes to those pages serializing the data from their clickstreams and how they got there. Then seeing what happens when they leave. Resolving all that to keyword values.