Sales strategy and ROI share the same
relationship as chocolate chips and cookie dough. Just like high-quality
chocolate chips play a key role in creating a sumptuous chocolate chip cookie, sales
strategy determines how effectively a company converts its resources into
revenue and profit. Simply put, sales strategy is a plan for generating
revenue, while ROI measures whether that plan produces enough return relative
to the resources invested.
How is it calculated?
ROI is calculated through frameworks that serve
as tools that convert operational improvements into measurable economic value.
These calculators work through a framework, which is a structured methodology
used to estimate the financial return of a product, project, or business
initiative. Instead of simply claiming that a solution improves efficiency or
reduces costs, the framework provides a systematic way to convert operational
improvements into quantifiable and visible financial outcomes such as cost savings,
revenue gains, productivity improvements, or risk reduction.
These frameworks are widely used in B2B
sales and enterprise procurement. Vendors use them to demonstrate the economic
value of their solutions, while buyers use them to justify purchases
internally. When designed properly, the framework transforms product
capabilities into a structured financial narrative that decision-makers can
evaluate objectively. However, the current frameworks do have a lot of issues.
The drawbacks
The key drawback is the kind of data used
to crunch the numbers. B2B purchasing is another segment being squeezed by
various factors, including finance, security concerns, and increasingly complex
software. The additional wrinkle of hallucinated
data due to AI tools is one more issue to worry about. As a result, CXOs and procurement teams are
becoming more risk averse. Statistical data is, logically, the best hedge
against risk.
Another new inducer of change is AI. When
you use AI to research vendors, it will ignore fluff
like “innovative” adjectives and instead scan for structured data
points, such as “reduced onboarding time by 40%” or “10x
improvement in threat detection.” And let us say it clearly, case studies that
read like marketing brochures and use the vendor-supplied data that is not
verified by a neutral third party can fit the criteria for fluff very easily. The
ultimate result is delayed deals that create lost momentum, forecast risk, and
pressure on revenue leadership. The situation is described in one line: in the
present times, features are no longer sufficient to close deals. You need to
provide data about the actual financial impact to close deals.
So, what to do?
QKS Group’s ROI Benchmark Framework can help
you shorten the sales cycle AND help accelerate the push through your sales
funnel with confidence. First, it provides analyst-verified data, which is the
primary driver behind B2B purchasing today. The insights are also of immense
help in the earliest process of vetting between leads who may be interested in
buying the product and leads who are more likely to buy the product. In one
line, it helps separate window shoppers from actual buyers, which accelerates
the early phases of the sales cycle. The same is also extremely useful to
reduce the pressure of giving discounts. If you know “statistical
proof” is their main criteria (and you have it), you don’t need to
discount. You win on being the fit, not on being the cheapest option.
The framework also does not use any
unverified or marketing-driven claims, making the numbers easy to defend during
late-stage sparring with skeptical CXOs.
And if you want even further personalization of your data, an
interactive estimator is also available as an add-on product. All these factors contribute to accelerated
decision-making and (obviously) shorter sales cycles.
This framework can help you shorten your
sales cycles
Interested?
Click Here: https://qksgroup.com/roi-framework
