Facebook COO, Sheryl Sandberg, is a genius when it comes to marketing to women, and she’s has been all over the news after her recent interview on 60 Minutes. Sandberg’s book, Lean In: Women, Work, and the Will to Lead, is a topic of controversy among both men and women. I was captivated by …
Marketing to Women: 3 Keeping It Real Tips
No one likes to think they are being sold, and women are hyper sensitive to fast sales talk. A genuine approach is more likely to resonate, but what does that mean? And how do you market to women?
Tip 1 – Give honest answers to questions that don’t sound like a sales person or politician – in other words, actually answer the question asked.
Gone are the days when women were easily swayed by the thought of a good deal. Women want to know they are getting what they want for a reasonable price. Women will take the time to …
Marketing to Women Saving the World
We’ve spoken before on the facts that men fill up a large part of the tech bubble. Women aren’t seen as the coders and engineers; they are seen as, well, the publicists and fashion designers. Frankly, we are over this stereotype and want to shed some light on tech companies that are marketing to women. Venture to Silicon Valley or CES and we’ll bet you can count the number of women working for these male-dominated tech companies on both hands. Why is this? The Mark Zuckerberg’s of this generation have taken all desirable jobs, and that is the quintessential employee/entrepreneur right now.
According to a Kauffman Foundation analysis, women are actually more capital-efficient than men, and have lower failure rates than those led by men. If that doesn’t convince you, in the U.S., 140 women enroll in higher education for every 100 men, they earn more than 50 percent of all bachelor’s and master’s degree and the increase in the number of engineering degrees granted to women has grown almost tenfold.
Marketing to Working Women in Male-Dominated Fields
Attractive Models Not Good for Marketing to Women
Sometimes science can unveil new worlds we never knew existed before. Other times, it simply provides statistical proof that affirms what we already know.