Spring & River Blog

Spring & River Blog

Texplicit Use Cases

In our third blog we shall cover a few use cases of Texplicit in marketing.

Product Launch

A company wants to launch a new face wash product and is deciding on the marketing strategy to use. The recent departmental meeting had thrown up a lot of ideas but no consensus.

.The marketing manager of the company decided that he needed an insight into how successful various strategies had fared in the recent past. He was aware that the company had recently purchased licenses for an artificial intelligence tool which worked on unstructured query results and decided to try it out.

An executive assistant guided him on the tool by and he soon found it was very easy; all that was required was to choose whether he wanted information from all websites or only news items, and to choose the number of pertinent sites to choose for analysis.

The marketing manager opted for ten sites from all sources and fired a query “Marketing strategy for launching new face wash product” and the query tool extracted the most relevant sites

The organized way in which the results were extracted and presented pleased him. He carefully went through the contents of the details and highlights pages.

He was satisfied with the results he perused and decided that social media marketing was one of the avenues he would seriously pursue.

The manager query fired another query: “Using social media as Marketing strategy”. The manager was again impressed with the results he obtained. The information picked up by this and the previous query helped the marketing manager formulate his strategy.

Customer Retention Scheme

An organization which was traditionally able to sell its products without any definite customer relationship program was suddenly faced with serious competition. The company wanted to implement an effective customer retention program.

The organization had recently purchased licenses for an artificial intelligence tool which could parse unstructured query results and the marketing manager decided to see whether the tool could help him in implementing an effective program.

After making the necessary selection of options, the marketing manager fired a query “customer retention schemes” in the tool. The tool decided which sites were pertinent to the query and returned the most relevant results from those sites, neatly arranged.

The manager examined the details tab with interest. He also examined the highlights tab, to help him crystallize his thoughts.

The marketing manager decided he needed to first onboard his customers as a first step to understanding customer needs, likes and dislikes. He wanted further details on how to design an effective customer onboarding process.

The manager fired a second query “Customer Onboarding Schemes”.

The company marketing manager then chose the methods he found most interesting and went to the relevant sites to get further details and implementation strategy.

Brochure for Wealth Management

A Financial Services company had tied up with a bank, and wished to offer its services to the bank’s most important clients. The marketing manager asked an executive to prepare an attractive brochure which will highlight the need of wealth management as well as outlining the organization’s strengths

The executive was aware that the company had acquired licenses for an artificial intelligence tool which worked on unstructured query results, which, he believed, could help him prepare his document.

The executive required pointed sentences which explained the concepts and advantages.

After making the necessary option selection, he fired a query “wealth management methodology” in the tool. He also fired the same query in Google.

The search in the tool gave the executive what he is looking for from the most relevant sources

He also looked through the highlights which gave him phrases which could readily reword and use

The references to market cycle interested him. He wanted to understand how he could effectively use the concept in his document.

The executive fired a second query “market cycle utilization”.

This query returned further details which helped him prepare his document The search in Google resulted in 85 million hits from which the executive would have spent valuable time to find out which sites which were relevant for him.

In our third blog we shall cover a few use cases of Texplicit in marketing.

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