Tag Archives: Sales Timing Techniques
Be wary of customer behavior predictions.
We are inundated with the latest and greatest sales behavior predictions using social media, networking, blogging, video platforms… a digital cornucopia of the ‘it’ factors pointed at customers that will buy.
Sales is like a box of chocolates.
Forest Gump said it best: ‘Life’s like a box of chocolates. You never know what you’re going to get.’ Sales results often share the same fate. Here are 8 ideas for sweeter sales.
What Customers are really thinking!
Motivating your customer to buy the world’s best doodad requires some different thinking in this economy. Understanding what a client really thinks can help. Having good answers helps even more!
IS BUSINESS GOING TO THE DOGS?
Mirroring Our Masters: As management and customers accelerate even further away from each other, success is often influenced to an immense degree by decision makers who have little experience or a ‘look’ for sales.
5 Protocols for Measuring Activity Results
Account Retention and Acquisition protocols are absolutely vital to success, mainly because nobody has the money or enough runway to wing it or buyers who have money or time to chance it.
2011: Change the way you view prospects to thrive.
The business climate in 2011 is projected to be brutal with less money, tighter budgets, fewer sales people and scarcer customers. In spite of this many companies will thrive. How? By changing the way they view prospects and the selling process.
Everybody’s got a spin on Social Networking and how to do it.
If relationship marketing is important to your organization, managing and collecting social network data and transposing this into your CRM program is radically different from the traditional historical based ‘interaction-transaction’ type recording.
The Alchemy of CRM
Alchemy was the medieval attempt to turn lead into gold.Modern CRM isn’t so different: data bases follow the alchemies operation of separating the ‘the prima material’ or so called chaos by taking this unstructured data and putting it into a structure to capture, index and store it.
Bias plays a huge role in sales predictions.
CRM analytical data is rarely configured for optimal ‘bias’ applications e.g. learning what customers want to buy at this very moment. CRM data is often seen as information overload when in fact just the opposite is true.
It’s hard to get a second chance to make a good impression.
Mental and physical ‘touch points’ take mere nanoseconds to associate a good or bad impression of you in the minds of the receiver.
