3 Reasons Why Knowing Intent is Essential for Your Business

sasha uritsky

Jun 18, 2014

What is intent? It is the reason behind the sentences we say. Behind posts and messages, as they appear on social networks. For instance, the intent of the tweet ‘I am going to buy a new car soon, my old car is entirely broken’ is buying a new car. The intent of this one however ‘ Need to buy me a car, got things to do lol’ could be anything from killing time by posting randomly to impressing friends, but not buying a car.

During the time when most customer activities online happened on search engines (e.g. Google) understanding of intent was predominantly the task of these search engines. So when I type ‘typical menu of Chinese restaurant’ and the search engine displays the list of local Chinese restaurants clearly in this case it did not understand my intent.

Nowadays, when an ever growing part of the consumer related activities is happening on social networks the task of understanding the customer intent becomes responsibility of a business.

Here are three reasons why this task is essential:

1. Marketing is personalized. Email blasts are a thing from the past. Today to stay completive your business should be able to target individually. And that means knowing what each of your potential customers needs in real time. The best way to know this is to understand customer intent. The numerous analytical and measurement tools available today exist only because until recently we didn’t know how to capture customer intent properly.

2. Knowing intent allows efficient and timely service across your company’s departments: those interested in the product belong to marketing department, purchase intent goes to sales, unhappy customers go to customer service, and so on.

3. Knowing intent offers long-term sustainability to your business because it reduces the noise. Unlike the previous generations, when the problem was a lack of information, today’s problem is the abundance of information. Business can function efficiently and be sustainable only when a competent model of finding the right information is in place. Understanding of intent is the best model available

Interested in reading more? Check out our other blogs:

Social Strategy for B2B Companies

I am regularly approached by businesses that sell to other businesses to help them market and promote their brand on social networks.

And so I noticed that some of them have a vague idea of how social media works and the sustainability it offers. They often see social marketing as yet another way to advertise and sell their products, in the same manner they are accustomed to do on traditional marketing mediums. Not surprisingly it usually results in frustration.

While I saw companies successfully sell on social, they are typically limited to mass consumer oriented B2C verticals, such as fashion and apparel, travel and hospitality. There is a segment of online shoppers, sometimes called ‘impulse shoppers’, that makes purchases straight off the Twitter timeline, yet the majority of us go to social networks for different reasons. Certainly no one is buying an insurance policy, or a house, or a CRM solution there.

The success of social media and its importance for business is in its unique ability to build trust.

For B2B, as well as for the majority of consumer-oriented businesses, this is where the real value of social marketing lies. A more detailed discussion here

And so that means approaching social media strategically. First know precisely why you want to engage, understand clearly how it will help you grow the business. Then, if you are convinced of social media’s importance for the success of your business, start taking practical steps. Obviously very company is different, but here are some observations that are pretty generic:

- Plan long-term. Don’t expect results after one month. Not even after two months.

- Do not do social media just because ‘everybody’ is doing it. When people have strategy their choice is between social tools X or Y or Z. It typically comes early in the conversation. And when people say ‘I’ll try it for a month and see if it brings results’ or ‘I want to see how my friend/my competitor is making out before deciding’ it usually indicates a lack of strategy, because it implies a choice between tool X and doing nothing. In that case, better do nothing.

- Social media does not substitute sales. It is however one of the most efficient ways to grow sales Here is a good explaination

Social media’s importance for B2B business is increasing. More and more owners and executives are inquiring how they can succeed in the new environment. As usual, the earlier you start the better are the chances.

Towards smarter data - accuracy and precision

There is a huge amount of information out there. And it is growing. To make it efficient and increase our competitive advantage we need to evolve and start using information in a smart way, by concentrating on data that drives business value because it is accurate, actionable, and agile. Accuracy is an important measure that determines the quality of data processing solutions.

How accuracy is calculated?

It is easy to do with structured data, because the requirements are formalizable. It is less obvious with unstructured data, e.g. a stream of social feeds, or any data set that involves natural language. Indeed, the sentences of natural language are subject to multiple interpretations, and therefore allow a degree of subjectivity. For example, should a sentence ‘I haven’t been on a sea cruise for a long time’ be qualified for a data set of people interested in going on a cruise? Both answers, yes and no, seem valid.

In these cases an argument was put forward endorsing a consensus approach which polls data providers is the best way to judge data accuracy. This approach essentially claims that attributes with the highest consensus across data providers is the most accurate.

At nmodes we deal with unstructured data all the time because we process natural language messages, primarily from social networks. We do not favor this simplistic approach, as it is considered biased, inviting people to make assumptions based on what they already believe to be true, and making no distinction between precision and accuracy. Obviously the difference is that precision measures what you got right, and accuracy measures both what you got right and what you got wrong. Accuracy is a more inclusive and therefore more valuable characteristic.

Our approach is

a) to validate data against third party independent sources (typically of academic origin) that contain trusted sets and reliable demography. Validating nmodes data against third party sources allows us to verify that our data achieves the greatest possible balance of scale and accuracy.

b) to enrich upon the existing test sets by purposefully including examples ambiguous in meaning and intent, and providing additional levels of categorization to cover these examples.

Accuracy is becoming important when businesses move from rudimentary data use, typical of the first Big Data years, to a more measured and careful approach of today. Understanding how it is calculated and the value it brings helps in achieving long-term sustainability and success.