CPG Jargon Buster Master Article

Hello, and welcome to the knowledge hub that is the CPG Jargon Buster Master Article!

Here you will find direct links to many relevant jargon/concepts in the CPG Industry. Each term is explained in brief below, with a link to the detailed blog at the end of it. 

We keep adding more jargon as we write about them, so be sure to bookmark this page and keep learning! We’re also creating a FANTASTIC CPG-specific product for optimal and super-easy data exploration – you might want to check Explorazor out!

Till now, we have covered 

  1. ACV

ACV stands for All Commodity Volume. It is used in the calculation of %ACV (obviously, but the term ‘ACV’ is often used interchangeably with %ACV, so one needs to be mindful of that). 

ACV is nothing but the total monetary sales of a store. Assessing the ACV of a retailer helps suppliers know which outlet presents the best sales potential based on its business health. 

Learn how to calculate ACV using Nielsen data and how ACV relates to %ACV 

Read more: What is ACV in CPG?


  1. %ACV 

A more comprehensive blog than the ACV blog above, %ACV, or %ACV Distribution, helps managers understand the quality of their distribution networks. You might wonder why a product is not selling well in a region despite being apparently well-distributed there. A deep analysis of metrics such as %ACV will help you resolve that. 

Read the blog to understand how to calculate %ACV, and the 5 points to consider when performing the calculations:

Read more: What is %ACV?


  1. Velocity

Velocity is another metric to study distribution. Velocity factors the rate at which products move off the store shelves once they are placed there. 

Managers can take charge of sales by utilizing velocity fully, and understanding the two major velocity measures – Sales per Point of Distribution (SPPD) and Sales per Million. Refer to the blog to learn what these measures are, with examples to help. As Sales per Million is a complex concept we’ve also explained it separately in another blog:

Read more: ALL About Velocity / Sales Rate in CPG


  1. Average Items Carried

This is the average number of items that a retailer carries – be it of a segment, brand, category, etc. For example, suppose that Brand X has 5 products/items under its name. Average items Carried would be from a retailer’s perspective – he could be carrying 2 products, or 2.5 products, or 4 products of Brand X, on average. 

AIC is one of the 2 components of Total Distribution Points (TDP), the other being %ACV Distribution. The blog explains the relationship between AIC and %ACV with respect to TDP (Total Distribution Points), using examples to simplify. 

Learn why AIC and %ACV are called the width and depth in distribution, and how to calculate AIC in Excel:

Read more: What is ‘Average Items Carried’ and How Does it relate to %ACV?


  1. Total Distribution Points – Basics

Total Distribution Points, or Total Points of Distribution, is again a distribution measure, considering both %ACV and Average items Carried to produce a TDP score that helps Brand Managers understand things like product distribution and store health, and base their future strategies accordingly. 

There’s also a method for managers to know whether their brand is being represented in a fair manner on the retailer’s shelf, using TDP. Learn how to calculate TDP and the special case of TDP if %ACV is 95 or above:

Read More: Basics of Total Distribution Points (TDP) in CPG


  1. Sales per Million

How do you compare two markets where one is many times larger than the other? Does a manager simply say “It’s a smaller market, thus sales are less” and be done with it? Shouldn’t s/he investigate if the products in the smaller market are moving as fast as they are in the larger market? 

Sales per million helps compare across markets, while controlling for distribution. It accounts for the varying Market ACVs and stabilizes them, so managers can find how each product is doing in each market, regardless of market size.

Learn how to calculate Sales per Million with a cross-market comparison example following it:

Read More: Sales per Million 


  1. Panel Data Measures

Nielsen and IRI provide the numbers for these 4 measures, and even those who do not use Nielsen/IRI need to have an understanding of household-level analysis using these 4 measures.

Here are the one-line introductions:

  1. Household Penetration

How many households are buying my product?

  1. Buying Rate

How much is each household buying?

Purchase Frequency and Purchase Size are sub-components of Buying Rate.

  1. Purchase Frequency (Trips per Buyer)

(For each household) How often do they buy my product? 

  1. Purchase Size (Sales per Trip)

(For each household) How much do they buy at one time?

These 4 measures in table format can be used by managers to understand the consumer dynamics that drive the total sales for their product.

Understand these 4 measures in detail, and how they relate to sales:

Read More: Panel Data Measures


  1. Market Basket Analysis

Market Basket Analysis (MBA) is a powerful data mining technique used in the CPG industry to analyze customer purchase behavior and identify relationships between products.

Learn how Market Basket Analysis can help you gain valuable insights into consumer behavior in the CPG industry.

Read more on: Market Basket Analysis


  1. Point of Sale

The consumer packaged goods (CPG) industry is a highly competitive market, and companies need to make informed decisions to stay ahead.

One tool that CPG companies use to make data-driven decisions is Point of Sale (POS) data.

Learn how CPG and Pharma companies optimize their performance using Point of Sale


  1. Customer Segmentation

Customer segmentation, is a technique that helps you divide your audience into distinct groups based on their characteristics, behavior, or preferences.

By doing so, enterprises can tailor your strategies to each segment’s specific needs, improving your chances of success.

Read more on: Customer Segmentation


  1. Price Elasticity of Demand

Price elasticity of demand is calculated by dividing the percentage change in the quantity demanded of a product by the percentage change in the price of that product. 

The resulting number is a measure of how sensitive the quantity of the product demanded is to changes in its price. 

The formula for calculation Price of Elasticity is:

Price Elasticity of Demand = (% Change in Quantity Demanded) / (% Change in Price)

Check out our blog on how CPG companies take decision on the basis of Price Elasticity.

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Sales Per Million

Sales per million is the great equalizer. It is used to measure how fast your products are moving off the shelves in stores where they are in distribution, while controlling for distribution.

What this means is, suppose there are two markets where one is bigger than the other. Now how do you know if the smaller market sells at the same rate as the bigger market? Is the smaller market selling less because of market size, or is consumer demand weak in that area? Or, on the contrary, do products move faster in the smaller market? 

Sales per million takes into account the varying Total ACVs of different markets and stabilizes them in the denominator in its formula. Let’s look at the formula and then an example:

HOW TO CALCULATE SALES PER MILLION

Sales per Million is calculated as: 

Sales 

÷ 

%ACV distribution X (Market’s ACV ÷ 10,00,000)

‘Sales ÷ %ACV Distribution’ is the formula for ‘Sales per Point of Distribution (SPPD)’ which is used for checking velocity within a single market, or a single retailer. 

Also, ‘Sales’ here can be expressed in terms of units as well as in terms of rupees/dollars.

Market ACV has to be taken in the denominator to account for the size difference in ACV. Market ACVs are very large numbers, so we denote them in millions.

EXAMPLE – SALES PER MILLION

With the theory cleared, let’s understand the concept in practicality through an example:

Let’s suppose that the Mumbai market is 3x larger than Pune. The numbers below point to the same:

Observe that Pune’s Market ACV is significantly lesser than that of Mumbai. 

Now, let’s calculate Sales per Million using information from the above table:

For Product 1, Mumbai –

Sales = 65,000

%ACV Distribution = 80

Market ACV Size = 120 million

Sales per Million 

= 65000 ÷ [(80/100) x (120 million / 1 million) 

= 65000 ÷ [0.80 x (120)]

= 677

Similarly for all.

Pune’s sales velocity compared to Mumbai

  • For Product 1, is essentially the same 
  • For Product 2, has some discrepancy, but not too much
  • For Products 3 and 4, is very low

What’s the benefit here?

With the stakes equalized, we note that Product 3 and Product 4 are actually not doing well in Pune, and that cannot be attributed to Pune being a smaller market. The actual reason may lie in a weaker consumer demand, or lack of a suitable strategy for the city, or any other reason. 

It was calculation using Sales per Million that helped us identify that Pune needs more attention if products are to do well there. 

Note that one can use Sales per Million instead of SPPD (Sales per Point of Distribution) for single market/retailer calculation as well. While SPPD is easier to perform, managers who prefer uniformity in calculations do opt for Sales per million as against SPPD.
Refer to the blog on velocity for more detail on SPPD and Sales per million. Also invest 10 minutes each day to learn about ACV, %ACV, Average Items Carried, and the basics of TDP.

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Retaining Sales Talent is Becoming a Challenge. Here’s What You Can Do About It

In a November 2022 report, Gartner’s Chief of Research Craig Riley raised a pressing issue – sales talent attrition is on the rise, and retaining them will be harder than ever in 2023. His comments were based on an August 2022 survey conducted amongst 900+ B2B buyers, which concluded that a staggering 89% felt ‘burned out from work’. It’s not just the USA. The Great Resignation debate is live and raging across the world.

Forbes echoed the same sentiment as Gartner, recognizing the growing talent crisis in sales and cautioning managers of the various harms that come along with high attrition rates, one of them being damaged customer relationships. Every sales manager reading this bit will resonate with the word ‘catastrophic.’ Forbes research also indicated that more than half of employees feel overworked by their employers.

OF SELLER DRAGS AND ‘COGS IN THE MACHINE’

One of the key causes that leads sales talent to this level of exhaustion is termed ‘seller drag’, a phenomenon that causes employees to procrastinate on work and deliver lower output. One of the roots of this ‘seller drag’ lies in employees having to undertake non-value-adding administrative tasks, and a consistent emotion of being just a ‘cog in the machine.’ 

To tackle this problem, many organizations opt for tools and/or platforms that help departments achieve their objectives. We find advocacy for this approach from Stephen Diorio (Executive Director of the Revenue Enablement Institute and an author, among other things) who discussed the need to reconfigure the daily workflows of sales professionals by simplifying their technology stack. 

However, there’s just a slight problem with this strategy:

No one is particularly interested in using these technology stacks

SIMPLICITY – THE ROOT OF TECHNOLOGY STACK ADOPTION

Greg Munster, Global Sales Operations Director of Canonical, quips 

“After years of supporting sellers with sales enablement systems at IBM, Red Hat and Lenovo, I’ve learned the key differentiator – and driver of value – always comes down to simplicity, intuitiveness, and user adoption in the eyes of the sales user of process or tool.”

Technology stacks carefully curated by Insights Teams, for example, for their sales managers, are perceived as ‘complex’ and capable of only compounding the daily data-related struggles of these sales champions. As such, they steer clear of such tools right from the get-go – our own research at vPhrase Analytics found that out, when we interviewed senior Brand Managers from globally-renowned firms such as HUL, Marico, Godrej, and others. While tools were available in abundance, their usage was next to none.

RETAINING SALES TALENT – WHAT YOU CAN DO ABOUT IT

If you’ve kept up till now, you would’ve noticed we 

  • Recognized a very pressing issue in the form of higher sales attrition in 2023 
  • Pinpointed the tiring daily workflows of sales professionals as a core contributing cause to the attrition, and 
  • Spoke about the well-intended approach of concerned departments like Insights Teams in building technology stacks, but the approach being ill-received due to the stacks being too complex to adopt and use

It’s a focused discussion we’re having. Let’s continue:

A SIMPLE AND EFFECTIVE TOOL FOR YOUR TECHNOLOGY STACK

We dove into the heart of the matter and found the ideal solution: consolidating data from multiple Excel files. Sales Managers have multiple datasets at their disposal and have to constantly shift between and examine multiple Excel files to extract a data pivot or test out a hypothesis. They face multiple challenges en route; access to some files is missing or delayed, standardizing and updating these files is a consistent, time-consuming process.

Sales Managers revert to Insights Teams to help them with ad-hoc analysis. Help does arrive, but often late, rendering the insights to a great extent, valueless. Can’t blame the Insights Team, either. They’ve got tasks other than conducting ad-hoc analysis for Sales.

We’ve developed Explorazor, a simple data exploration tool that integrates multiple datasets into 1 standardized dataset and provides unified data access to users. Users query the consolidated dataset via a simple search interface and extract instant data pivots. Explorazor is powered with double-click, or point-and-click drill-down for instant root cause analysis. The idea is to ensure on-time and independent data analysis for managers, and these features prove pivotal in helping them identify market opportunities and internal and external issues. Explorazor contributes to revenue growth and employee satisfaction simultaneously.

There are many features we haven’t talked about here, like the ability to download desired data pivots as CSV files and take them to Excel, or the super-clean user interface that makes managers want to work on Explorazor. You can also read the blog we’ve written on how Explorazor differs from Power BI.

CONCLUSION

Retain sales talent by easing their day-to-day challenges. Explorazor can help simplify the daily data exploration activities of Sales Managers, and it’s a very simple tool to understand and adopt, and effective to boot. While it’s not the only tool you may ever need, it certainly is the perfect complement to Excel, and therefore a must-have tool in your tech stack.

Why not take a quick look at Explorazor? Here’s an introductory video to get you started, and you can schedule a call with our solutions consultant for the full demo. 

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The Not-So-Subtle Relationship Between Branding & Sales

Today we’ll be talking about branding’s impact on sales using some examples from the FMCG industry. The purpose of this article is to convey, in no uncertain terms, that companies need to pay attention to and hammer down their branding strategies right now. We’ll also be exploring how ease of data analysis can help make better branding and sales decisions – and a very simple and effective method of easing data analysis. Let’s begin:

Function of A Brand – Seth Godin

You might have heard of various definitions of ‘brand’, but one of the most complete definitions that I have come across is from Seth Godin. I quote “A brand is the set of expectations, memories, stories and relationships that, taken together, account for a consumer’s decision to choose one product or service over another.” 

He further goes on to say “If the consumer (whether it’s a business, a buyer, a voter or a donor) doesn’t pay a premium, make a selection or spread the word, then no brand value exists for that customer”.

Why this quote is complete is because it outlines the benefits that companies get when they get their branding right –

  1. The consumer pays a premium to get your brand, simply by virtue of it being your brand
  2. The consumer at the very least chooses your brand over others, in the event of other factors, such as price, being the same
  3. The consumer herself begins actively engaging in promoting your brand via word-of-mouth

The right branding should get you sales and free promotion, per Seth Godin.

To get the branding right, one has to focus on branding in the first place.

Using Branding For Sales – Recognition & Trust! 

Now that the need for branding is established, let’s skim over the very first ingredients needed to get the branding underway. A foolproof method is to start off by building greater brand recognition and fostering brand trust. 

  1. Attention Grabber: Brand Recognition

The competition for grabbing the mental space of a consumer is always ON. Round-the-year branding, even though it may not seem to be the most impactful at times, readies the consumer for the moment-of-truth, when she is looking to make a purchase. Hardly a consumer knows the difference between Tide & Surf Excel, but almost every consumer buys on the basis of the perceived value they derive from the advertising campaigns of each brand. 

In other words, if they give first mental recognition to your brand when opting for a solution to their need, they are more likely to prefer your brand to others.

The right branding can even trump core value offered to consumer!

  1. Care & Nurture: Brand Trust

Brand trust is one of the biggest drivers of brand loyalty, repeat customer purchase decisions, and long-term customer satisfaction.

Case Study: HUL Star-Sellers

In around 1997, HUL wanted to set up distribution of basic necessities like oils, detergents, and soaps across all villages in India. Distribution was one thing; store acceptance was another. HUL identified local influencers in villages even with populations of less than 2000 people and used them as ‘faces’ of the brand to persuade retailers to stock their products and sell in the local markets. 

The branding was unconventional, but it hit the mark because HUL used the concept of brand trust as its base. 

You will find multiple other examples of HUL paying focused attention on creation of brand trust. Ventures like Project Shakti are another reason why HUL was able to not only create thousands of jobs and revenue for the company, but also forge a lasting impact on the masses that today holds HUL’s name synonymous with ‘trust’. 

From Cadbury to Pepsi…

Cadbury noted that the term ‘Eclairs’ was a commonly used term for a type of candy, and retailers were dishing out other brands in the name of ‘Eclairs’ instead of Cadbury’s well-known Eclairs. It undertook a product realignment campaign and renamed the product to ‘Chocolairs’.

Pepsi keeps changing its logos to keep up with trends, spending millions of dollars each time.

Tropicana’s package rebranding in 2009 for reasons similar to Pepsi’s, failed drastically, resulting in 20% year-on-year sales degrowth. As marketing professor and Ph.D. holder Mark Ritson noted, and we quote Brandstruck, the new design “achieved something Tropicana’s competitors had failed to in 20 years – a degradation of its brand equity and an undermining of its status as market leader.”    

There are hundreds of examples in the FMCG industry itself, of how brands spend time, effort, and money to brand and rebrand their well-established products.

Branding seems to be pretty important for all of these brands.

Is it for you?

An Important Sub-Component – Proper Data Analysis

Just like all the sub-components in a branding strategy pave the way for good branding, a company’s overall choices of people, processes and products combine to produce effective decisions that impact every facet of the company, including branding and sales. 

While we’re sure your choices of people and processes are most apt, we do have a proposal to add Explorazor to your product portfolio. 

Explorazor is a data exploration and analysis tool built to ease the daily tasks of Senior Managers in Brand & Sales Teams, who currently work on Excel. Explorazor does not replace Excel; we are interested in complementing Excel. You can also explore some ways Explorazor differs from Power BI.

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The Painful Process of Making a Data-Backed Decision

Let’s explore the decision-making process that a business user, say a Sales Manager or a Brand Manager, goes through. The aim would be to identify the challenges they face during this process and explore a very relevant solution for that.

We’ll do this step-wise:

  1. The challenge is presented

Either the business user is actively analyzing a piece of information, looking for solutions, or a challenge presents itself, which s/he starts solving. 

For example, he observes that Total Sales in Region X has shown degrowth.

  1. Possible reasons are explored

Identifying the problem is the first step toward formulating a solution. Total Sales has shown degrowth, the first question that is raised is ‘Why’. For that, the Sales manager will look at whether his primary and secondary sales targets are being achieved or not.  

The Brand Manager, or the Data Manager, as they are called in certain roles, will go a little further to investigate other aspects that might help arrive at the reasons for the degrowth.

Some of the other areas that will be scrutinized are:

a. Market Data

First off, one sees how the market is performing. If my brand is down by 2%, but the entire category is down by 4%, then there’s no real cause for worry. For example, sales of ice cream are bound to go down during the monsoon season. 

Market data would also include the tracking, measurement and evaluation of marketing spends. It also includes surveying competition’s activities and correlating it to the change in sales of our own brand. 

b. Efforts Data

Are my people meeting the wholesalers as they were doing previously? In the case of the pharmaceutical industry, medical representatives meet doctors and provide them with promotional material or, say, medications, and follow a similar course of action with chemists as well. Another sub-component of the Efforts data would be to see if the team is following previously successful strategies or not.

c. Consumer Insights & Brand Health 

Datasets like Kantar provide valuable insights into customer behavior and psyche, how they can be expected to react to a particular promotional strategy, etc. It shares concrete data like Average Trip Size of a customer in a particular store.

Long-term focus areas such brand health, which is quite similar to brand perception, will also be kept a tab on.

3. Proactive or corrective action is undertaken 

Once the reason is pinpointed, managers can then begin setting up and rolling out implementation strategies.  

But before they can do that..

THE ISSUE OF WORKING WITH MULTIPLE DATASETS

Notice that we described the multiple datasets that managers work on in quite some detail. 

This is to bring your focus to the issues concerning working on multiple datasets 

  1. At the very least, time is wasted 
  2. The communication to acquire such datasets is another challenge in itself
  3. Cleansing and merging the datasets is also a painstaking process

By the time the manager gets around to testing assumptions and conducting analysis, much of time has been wasted and the effort that should have gone into analysis and exploration is allocated just readying the dataset for analysis and exploration.

SOLVING THE ISSUE OF WORKING WITH MULTIPLE DATASETS

Explorazor is a data exploration and analysis tool that has been designed to specifically solve this issue for Brand & Sales teams. On Explorazor, managers see a single, integrated view of all their datasets which they can query using simple keywords and obtain data pivots in seconds. It literally puts all of the data under a single roof and makes it available at the fingertips of managers. All of the data would be stored on cloud, accessible via browser.

Of course, Explorazor is not entirely utopian; not every user will obtain access to all the datasets a company possesses. Rather, customized projects will provide access to all relevant datasets that a user needs for his daily, weekly or monthly activities.

For more details, you can visit the Explorazor website, and if you are interested in knowing more in detail, visit Explorazor docs.

  1. Preparing visualizations and presenting the decision

To reiterate, the first three steps in the decision-making process were:

  1. Looking for a piece of information, or a challenge being presented 
  2. Exploration of possible reasons, which includes analyzing multiple datasets
  3. Undertaking proactive or corrective actions

The findings are then finally translated into a narrative to be presented to the management and/or the team. As a manager, you know what’s best for your company, and the all-important task of communicating forward-looking insights impactfully is best left to you. Explorazor seeks to remove the load of tasks that senior managers should not spend, or dare we say, waste their time in. 

To speed up hypothesis testing, provide independence in ad-hoc analysis, and enable managers to spend more and more of their time on tasks that add value to their brands and companies is what Explorazor is built for. 

To understand Explorazor better, contact us at support@vphrase.com and we’ll set up a short Explorazor demo for you. If you can’t find the time for that, we’ll be happy to share a one-pager with you for your reading. Enjoy!

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In Retail, Building the Right Omnichannel Strategy is Everything

Let’s look at the retail landscape today and how important an omnichannel strategy can prove to be in efficiently marketing a brand and driving revenues.

THE NEED FOR AN OMNICHANNEL STRATEGY:

As many times as you have read it, the truth stands that the pandemic initially forced customers to shop online, and in time, customers adopted digital services big-time. This is evidenced by the fact that a whopping 20 million people in Southeast Asia alone converted to being digital customers in the first half of the year 2021. Online searches for terms like ‘instant delivery’ have shot up by 215% in India, just 2021 to 2022. 

The conclusion is that customers today are digitally present, and experience content and brands across so many touchpoints, that it is mandatory to have an omnichannel strategy in place for your brand.

An omnichannel strategy is a cohesive sales and marketing approach that seeks to use every customer touchpoint to provide a consistent and effective customer experience. It involves offering a company’s products & services at all customer touchpoints. Such touchpoints include digital channels like web and app, physical, brick-and-mortar experiences, and any other platform or device that a customer accesses.

‘Effective customer experience’ here means that a customer is satisfied with the product and/or while the company simultaneously generates revenue from that activity. 

2 WAYS AN OMNICHANNEL STRATEGY HELPS COMPANIES:

  1. Increased customer satisfaction – and company revenue

Let’s understand the power of omnichannel strategy in achieving customer satisfaction while simultaneously increasing revenue. 

Consider the example of Petco Health and Wellness, an American pet retailer selling pet food, products, and providing related services. During the pandemic, it understood that its competition and other third-party online retailers were not able to fulfill orders within time. Petco introduced ship-from-store options where customers could browse and purchase online, and pick up the same from physical stores nearest to them. 

Petco met the customers where they were, and provided a key micro-service that made customers love them – and made them some money. Petco’s acquisition costs were cut down by two-thirds, and they recorded a 100% year-on-year increase in sales.

  1. High CLV and retention rates 

Once sold to, they need to be retained. If you’re wondering who ‘they’ are, you’re probably working too late and need some sleep.

Back to the point. Once sold to, customers need to be retained. Creating an omnichannel presence, or being ‘omnipresent’ lets customers interact with your brand wherever and whenever they choose to. It lets the customers dictate what they want the brand to do, and brands can use this opportunity to foster real-time customer engagement and create lifetime value for the customers. 

We’ve covered the ‘how to do it’ in a related blog ‘Getting Omnichannel Right in Retail‘, but just factor in what you’ve read till now and the fact that the global e-commerce share of retail sales is expected to increase to a staggering 24% by 2026, and you’ll see that there’s no doubt that the companies absolutely need an omnichannel retail strategy.

SOME PREREQUISITES FOR BUILDING AN OMNICHANNEL STRATEGY:

Before you go about building an omnichannel presence, here are some of the things you need to have in place. Keep in mind that the list is more exhaustive, and below points are indicative of the nature of preparation you need to undertake. 

We can also help you with one of the rather important points..stick till the end.

  1. Creating/Mapping Customer Journeys 

When managers and teams work to create a framework for understanding customer journeys and how they react in certain recurring situations, for example, a festival that comes along every year, they are able to understand what the customer wants, and provide it to them. 

  1. Knowing who you are targeting

Let’s get this point through with an example. Think With Google shared crucial information for marketers wanting to reach audiences in Indonesia in the month of Ramadan. The data divided customers into 5 segments:

  1. The devoted prayer
  2. The homemaker 
  3. The Ramadan groomer 
  4. The tech followers, and 
  5. The home-comer

With almost the entirety of Indonesia following the religion of Islam, access to such data proves invaluable when slicing the total audience according to the right kind of demographics.

  1. Knowing what you what to communicate

Once you have the right audience figured out, taking the right message to them is equally important. Create a crystal clear overarching brand positioning that you want to reach to reach your audience with

  1. Conducting quick data analysis 

Driving real-time sales and delivering personalized CX in an industry where customers display volatile, or easily influenced, behavioral patterns requires lightning-fast data analysis. And this is where we believe we can help companies.

KICKSTART YOUR OMNICHANNEL STRATEGY WITH …

In the quest to deliver a standard, unified experience to customers, we’re proposing that you work on a standardized, unified dataset as the starting point of your omnichannel strategy. Our data exploration tool Explorazor is built specifically to help brand teams arrive at high-quality insights in an easier and faster manner than their current mode of working, which is primarily on Excel. The usage is very simple – query the integrated dataset using standard keywords such as ‘MS Value’ for Market Share Value and get instant data pivots. 

Explorazor is also infused with seamless root cause analysis, where managers can identify areas/events of concern via simple double-clicks. Other features such as pivots being downloadable as CSV files, various customizable options and chart style settings, time-period recognition (which is not present in BI Tools such as Power BI and Tableau) make data analysis so much easier, faster, and better for managers.

There’s no reinventing the wheel – one doesn’t have to completely leave Excel to use Explorazor either. Explorazor simply simplifies work done on Excel, to frame it as such. 

Multiple Brand Managers from Fortune 500 love Explorazor. As one of them shared his opinion with us “Explorazor is a more intelligent Excel to me”.  

Start with Explorazor, and end with more effective omnichannel strategies, optimized media spends, and higher revenues. Contact us at support@vphrase.com for a free trial and/or connect with our solutions consultant for a free demo.

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