How Quantitative Market Research Improves Forecasting and Demand Planning
Have you been tinkering with the idea of a proper market research project for your business? You might have heard several benefits of market research for your users and products. But do you know you can use it for auxiliary benefits other than product improvement, such as forecasting, demand planning, and budgeting?
Here is a small post on how quantitative market
research can help you with demand planning.
What Are Forecasting and Demand Planning?
Forecasting
is the prediction for your business, focused on your sales and customer
strength. Here are some questions that forecasting answers:
·
How many new customers are going to be added to your CRM?
·
How many users are likely to buy?
·
What will be the expected bulk of sales?
·
Which price point would work with your audience?
·
Which user segment is going to boom?
·
Which demographics are going to tank?
Demand
planning is the answer to these questions. You plan your production, market
launch, pricing strategy, and marketing and sales approach based on the answers
you receive from your market research.
How Quantitative
Market Research Helps with Forecasting and Demand Planning
1.
Driving
Forces in Demand
Once you learn what’s driving the demands
in the industry and your own business via quantitative reviews, you can tweak
your business plans accordingly.
For instance, price is one of the biggest
driving forces among middle-class buyers. If your product (say, a smartphone) seems
to be priced on the higher side vis-à-vis your peers’, you can wait for the
demand season, such as festivals, Black Friday, and paycheck days.
Plan a discount voucher of say 5% to your
loyal users on the first of every month for regular products and a discount
during Black Friday on annual purchases to boost your yearly sales.
Product upgrades are another great way to
attract more users. Add newer features that have been missing from your product
in your annual upgrade, and see the demands pouring in through advance booking.
2.
Demographic-Level
Study
Since your market research is usually
segment-driven, it’s easy to understand what various segments of users need
from your product or services. You can analyze that data and measure which segments
are more profitable for you.
If your smartphones are more popular among
white-collar professionals who are earning more than an average middle-class
citizen, pushing more sales according to their research feedback is going to
get you more profits.
However, if teenagers have shown interest
in your cell phones because of good camera quality and yet aren’t able to
invest due to the higher price, you can attract this segment by launching a lite
version of the phone with good camera but reduced features that aren’t necessary
for the youngsters.
This way, you can use the quantitative
market research data to decide which direction you aim to pursue.
Read about data challenges in the
market research industry.
3.
Trends
and Patterns
Learning
what’s trending and what the common patterns are among your consumers can hint
at what your near-future agenda should be.
Quants
tell you which things are trending in the market and among the users. The
numbers also reveal what’s working for the users on a long-term basis. You can
observe patterns from these facts and data.
For
instance, if oversized T-shirts have been popular among your users in the last
six months and the graph has shown only escalation, chances of them being a
rage will not die anytime soon.
You
can compare this trend with other observed patterns. Then you can decide your
production size and marketing plans.
Time
series analysis can be a very useful method in this prediction, where you study
historical market research data over a longer period, such as six months or a
year.
How Track
Opinion Can Help
If you’re looking for a market research
partner, look no further and reach
out to the Track Opinion team for a discussion. We offer both qualitative
and quantitative reviews with customized packages. Our strength lies with our
panel of 4.8 million users and our scripting
tool.
Comments
Post a Comment