Marketing Strategies

Discusses key economic indicators and trade statistics, which countries/companies were dominant in the market, the U.S. market share, the political situation, the top reasons why U.S. and Chinese  and other   companies should consider exporting to pakistan, and other issues that affect trade, e.g., terrorism, currency devaluations, and trade agreements. The United States and Pakistan have a strong economic and commercial relationship, conducting two-way trade of approximately $5.6 billion in 2016. The U.S. is Pakistan’s largest trading partner and a leading source of foreign direct investment.  U.S. exports to Pakistan reached $2.1 billion in 2016, a 39% increase over the 2014 figure of $1.5 billion. The U.S was Pakistan’s largest export market in 2016.  Pakistan’s exports to the U.S. in 2016 were $3.4 billion, a 9% decrease versus the previous year. In 2013 Pakistan had its first democratic-to-democratic transition of power between former Pakistani President Asif

Customers expect instant gratification on social media. Design a response plan to communicate with them quickly and authentically. Brands have become known for their social media personas. Denny’s and KFC are famous for their Twitter hijinks, and some consumers find it easier to engage with customer service on social platforms than over the phone or in person. How a brand communicates with its audience on social media is increasingly crucial, and many companies are proactively designing social media response plans, also known as social media response matrices. A social media response matrix is a flow chart that directs an employee, such as a social media manager, on how to respond to comments on social media based on the nature of their content, according to Adam Kleinberg, CEO of interactive advertising agency Traction. “[A response matrix] is important for companies to have because it keeps you consistent, organized and accountable about how to act in various situations

Trends in tech and advertising have made the weather a highly sought-after data point, turning forecasters into predictive modelers of human behavior “Temperature at the airport is 88 degrees, which is stupid, man, because I don’t know anybody who lives at the airport.” – Al Sleet, Hippy Dippy Weather Man Eric Danetz, AccuWeather’s newly installed chief revenue officer, picked up the phone and contemplated the climate. This was autumn in New York, yes, but with highs straddling the upper 60s, the afterglow of summer lingered like a lover’s fragrance, keeping the puffer vests and fiery foliage at bay. As always, Danetz took the weather in stride. “The weather is always good at AccuWeather, my man,” he says. “Today is partly cloudy, and we’re gonna have some showers later today and early tomorrow, but otherwise not so bad. It’s going to be a potentially record-hot Sunday.” The ease with which he rattles off the forecast is not innate. Danetz is new to this job, but h