Sentences with phrase «biggest leverage points»

I mean, if we're talking about referrals one of the biggest leverage points I've found there is what is your actual client experience.

The biggest leverage point for depression is clearly re-establishing a healthy gut with reduction of bowel permeability.

Not exact matches

Summary A cloud - based «big - data» advertising platform which enables brands with loyalty programs to leverage members» web / app usage to place ads strategically, and at the same time accelerate customer retention by offering points for active opt - in participation.

Probably the two biggest points of pushback were that Google could build an encrypted system if they wanted to (as I explained on Monday, they already tried, and they can't really exercise Android leverage right now), and that carriers could build a federated key exchange system and / or something akin to the certificate authority framework that undergirds HTTPS.

It's a worthwhile, if provocative, question that becomes even more interesting when you consider it in the context of an online left made up of blogs big and small as well as network - based organizations whose mailing lists constitute their major — if not only — point of political leverage.

«The biggest point of difference I've noticed is that in the US and Europe, there is a heavy celebrity and influencer attendance, which can be leveraged by the public relations team to pitch and secure substantial mainstream media coverage, which in turn, introduces brands to new audiences,» Steele said.

students who wish to pursue an entrepreneurial career, whether nonprofit or for - profit, by providing important tools and services to schools and districts, will develop a much deeper understanding of the systems and processes that exist in K — 12 education that they want to improve or replace, and are better at finding points of leverage that will make a big difference for educators and students.

Plus, almost every big IT player, from Google and Microsoft to Facebook and Amazon, offer their own REST extension points, which you can leverage to make their systems work with your custom integrations with TalentLMS.

The big platform companies make sure they have it as a checkbox feature - they need to have music - but it's not really important as a point of strategic leverage anymore.

The company has perfectly leveraged their points cards, scanned during checkout, to give big discounts on popular books.

In my small unique book «The small stock trader» I also had more detailed overview of tens of stock trading mistakes (http://thesmallstocktrader.wordpress.com/2012/06/25/stock-day-trading-mistakessinceserrors-that-cause-90-of-stock-traders-lose-money/): • EGO (thinking you are a walking think tank, not accepting and learning from you mistakes, etc.) • Lack of passion and entering into stock trading with unrealistic expectations about the learning time and performance, without realizing that it often takes 4 - 5 years to learn how it works and that even +50 % annual performance in the long run is very good • Poor self - esteem / self - knowledge • Lack of focus • Not working ward enough and treating your stock trading as a hobby instead of a small business • Lack of knowledge and experience • Trying to imitate others instead of developing your unique stock trading philosophy that suits best to your personality • Listening to others instead of doing your own research • Lack of recordkeeping • Overanalyzing and overcomplicating things (Zen - like simplicity is the key) • Lack of flexibility to adapt to the always / quick - changing stock market • Lack of patience to learn stock trading properly, wait to enter into the positions and let the winners run (inpatience results in overtrading, which in turn results in high transaction costs) • Lack of stock trading plan that defines your goals, entry / exit points, etc. • Lack of risk management rules on stop losses, position sizing, leverage, diversification, etc. • Lack of discipline to stick to your stock trading plan and risk management rules • Getting emotional (fear, greed, hope, revenge, regret, bragging, getting overconfident after big wins, sheep - like crowd - following behavior, etc.) • Not knowing and understanding the competition • Not knowing the catalysts that trigger stock price changes • Averaging down (adding to losers instead of adding to winners) • Putting your stock trading capital in 1 - 2 or more than 6 - 7 stocks instead of diversifying into about 5 stocks • Bottom / top fishing • Not understanding the specifics of short selling • Missing this market / industry / stock connection, the big picture, and only focusing on the specific stocks • Trying to predict the market / economy instead of just listening to it and going against the trend instead of following it

Time for a step - change... Overall, it's a pretty stable core business, so management needs to start milking it for cash to return to shareholders (via dividends / buy - backs), or else accelerate growth by ramping up its leverage & acquisition pipeline / spending (more acquisitions, bigger acquisitions, or both...)-- at this point, I'd still prefer a bet on the latter.

A big benefit to booking this way is that it allows you to leverage Chase Ultimate Rewards and Citi ThankYou Points as Singapore Airlines is a partner.

We will cover everything from which rewards credit cards are the best for busy families, to leveraging big everyday expenses to earn huge rewards, to highlighting the airline and hotel programs that allow you to really stretch your miles and points to the max.

Fostering effective, inclusive collaboration can be a powerful leverage point for addressing climate change, but it requires a focus on relationships, values, and a bigger picture.

Leverage points are those «places within a complex system (a corporation, an economy, a living body, a city, an ecosystem) where a small shift in one thing can produce big changes in everything.»

As pointed out by the Gartner report, Catalyst is invested heavily in technology assisted review (TAR), which leverages big data processing and intelligent learning to drastically reduce the number of documents that must be reviewed in e-discovery cases.

You won't be able to list every single improvement you made, but pick out two or three of the biggest ones and leverage them as selling points.