It sounds like one of those chicken or the egg questions…and given all the buzz about Sales 2.0 technologies and methodologies, you might be tempted to answer “Sales 2.0”. But I think Sales 2.0 is really the sales organizations response to the “evolve or die” mandate they face, given the smarter and more informed buyer they have to sell to: Customer 2.0. I do believe the customer has evolved faster than the sales guy…and I believe this is – at least in part – due to how B2B trends typically follow B2C. Prospects who are looking to make B2B purchase decisions are also consumers, and have been making B2C decisions for a long time. Access to online reviews, comparison shopping engines, Facebook or Twitter “conversations” on products and services they are evaluating has turned them into much wiser B2C buyers…So, why not transfer that same process, powered by “social intelligence”, to the B2B buying cycle? Read the rest of this entry »
Filed under: demand generation, marketing analytics, sales intelligence | Tags: B2B Marketing, customer 2.0, sales 2.0, sales intelligence, social intelligence
This past week I moderated the Forecasting, Analytics and Compensation Management Panel at the Sales 2.0 Conference in San Francisco (good event by the way – probably the best one yet!). My diverse panel included sales execs from ArcSight, LaCrosse Footwear, and GuardianEdge who deployed Sales 2.0-powered sales management solutions from Xactly, Right 90 and Cloud 9 Analytics, respectively.
Given my marketing analytics background (or DNA as some might say ), I’ve always been focused on making marketing more accountable to and aligned with sales. My personal edict is “You Cannot Improve What You Cannot Measure”, and I practice it religiously to ensure my clients drive the most revenue possible with their marketing dollars, great or small. What was thrilling about my pre-conference conversations with the panelists was how the Sales 2.0 movement is enabling sales organizations to adopt a similar culture of measurement, bringing in much needed accountability. Actually according to my panel, it is moving beyond accountability – and shifting sales into a culture of predictability. Here is how: Sales management solutions, such as forecasting, business analytics and compensation management tools, improve visibility into sales performance with objective, dynamic data. Better visibility in turn exposes volatility at the aggregate level as well as gives us the ability to drill down to pinpoint and act on the problem areas – whether product line, geo, sales rep, lead source – resulting in overall sales performance predictability.
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Filed under: marketing analytics, sales analytics | Tags: alignment, analytics, compensation management, forecasting, marketing, sales, sales 2.0
We market and sell in a brave new world where prospects are equipped with near x-ray vision into companies, products and people they are considering doing business with. Attention span crunch has become pandemic, and we now have the mandate of ensuring every customer engagement is targeted and relevant to synchronize buying and selling cycles – or risk being left behind to join the multitude of businesses that simply didn’t make the necessary transformations in time.
It wasn’t too long ago where the norm was for marketing and sales teams to shout insults and pass blame on for not reaching revenue goals: “The leads are worthless!”…”No, it’s the sales reps who just cannot close!!” Fast forward a decade and the rules have changed. Marketing is now measured and compensated more like sales reps on attainment of goals; and our friends in sales are having to think more marketing-like and segment and target prospects with the right messages at the right time to increase conversions. Welcome to the world of sales and marketing 2.0 or “Smarketing”!
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Filed under: demand generation, marketing analytics | Tags: alignment, analytics, behavioral targeting, demand generation, email marketing, lead generation, lead scoring, marketing, marketing automation, sales, sales 2.0, smarketing, Web 2.0, web analytics
Con•tent Eng•in•eer
n. The new breed of marketer who engineers and optimizes the many forms of content required to engage Customer
2.0, based on the data presented by the many social media monitoring and web analysis tools.
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