Hello, this is Matsubara, CRM Evangelist.

"Does it really work?" — This is the most common question I hear from business owners considering implementing CRM.

I've read the function descriptions. I understand the philosophy behind it. But ultimately, I don't know how it would work in my own company. That's the honest truth.

This article organizes the changes after implementing EMOROCO CRM Lite in chronological order, based on actual industry data and implementation patterns from multiple companies. It shows what happens and how the numbers change in three phases: 3 months, 6 months, and 1 year, broken down by industry.

Please note that the case studies presented in this article are hypothetical stories based on industry realities and implementation patterns from multiple companies. Actual results may vary from company to company, but please use them as a reference for your design.

Changes after implementation occur in "three stages".

Analyzing implementation patterns across multiple industries reveals that change commonly occurs in three phases.

What happens in the first phase is not "improvement," but "discovery."
Many companies that implement CRM first experience not a sense of "the problem has been solved," but rather the shock of realizing "were there really this many problems?"
The problem was there all along, it was just that we couldn't see it.

Industry-specific change data

Construction and renovation company (12 employees, 2.8 million yen in sales)

Pre-implementation situation: Customer records were managed using Excel. Post-completion customer follow-up relied on the employee's memory. Of 320 completed customer projects, only 30 (9.4%) had been contacted in the past year.

Three months later—"I discovered a treasure trove."

When we set an emotional temperature scale for all customers, we found that 67% were cool or cold. Relationships with customers we didn't think had problems were actually strained in the majority. We set up a 5-year follow-up workflow starting from the completion date field.

Number of customers followed: 30 → 320 (all) Number of workflow settings: 0 → 18

Six months later—"Proactive communication" begins to take shape.

Workflows such as "Inspection notice 3 months after completion" and "Exterior painting proposal for 2 years after construction" start running automatically. Instead of staff members remembering "Oh, that's right" and making a phone call, the CRM now tells them, "Today is the day to contact Mr./Ms. A."

Post-completion follow-up contact rate: 9.4% → 78% Number of inquiries for additional work: 2 per month → 7 per month

One year later—referrals are generated from a "system".

Data revealed that 67% of referral chains occur within 1 to 3 years after completion. This allows us to understand when referrals are generated—such as "I recommended them to a friend because the service was good"—and evolve our design to focus on providing support during those times when referrals are most likely to occur.

New orders received through referrals: 6 per year → 14 per year. Sales share from referrals: 11% → 31%.

Tax accountant's office (8 staff members, 43 client companies)

Pre-implementation situation: Task management for the fiscal year-end was done using spreadsheets. There was the hassle of checking "When is that client's tax filing deadline?" every month, and sometimes action was only taken when the deadline for the calculation basis report was approaching. With 43 companies and 20-30 deadlines per year, the management of 860-1,290 deadlines per year was being handled manually.

Three months later—"The deadline will be automatically displayed."

We set up a field for each client's fiscal year-end month and built an automated task generation workflow for 3 months, 1 month, and 2 weeks prior to the end of the fiscal year. By adding an alert for "Documents not received × Deadline within 2 weeks," necessary tasks are now highlighted without staff having to check manually.

Time spent checking deadlines: 90 minutes per week → 10 minutes per week. Number of missed tasks: 1-2 per quarter → Zero.

Six months later—"Proposing added value in spare time"

Time previously spent managing missed tasks was freed up, allowing time to analyze the financial figures of clients. A relationship began to develop where clients felt, "Something good is going to happen when I get a call from you." The number of business consultations other than tax consultations increased.

Number of contacts per client company: 1.2 times per month → 2.1 times per month Number of additional consultations (non-tax-related): 2 times per month → 7 times per month

One year later—referrals doubled.

Through emotional temperature analysis, we identified clients with a "cool or below" emotional state and conducted proactive follow-up visits. It was discovered that referrals were concentrated in three specific companies, so we prioritized strengthening relationships with our connector clients.

New consulting contracts through referrals: 6 per year → 12 per year; Consulting retention rate: 88% → 96%

Insurance agency (3 staff members, 180 clients)

Pre-implementation situation: Customer information was kept in individual notebooks and Excel spreadsheets. This was a reactive sales approach where they only became aware of customers' life events (birth, home purchase, children's education) after hearing about them directly. In several cases, when they heard that a customer had been born, the customer had already completed an online insurance contract with another company.

Three months later—"The shock of emotional temperature"

When we set emotional temperature levels for all 180 customers, 77 (43%) were rated "cool" or lower. This revealed the significant number of customers who were not being contacted. By entering birth dates, children's birth dates, and mortgage information into fields, we set up a workflow that anticipates changes in life stages.

Identification rate of customers below the Cool level: Unknown → 100% (43% fall into this category) Number of birthday month follow-up tasks set: 0 → 180

Six months later—"Proactive Proposals" begin

A follow-up task is automatically generated one month in advance, stating, "We would like to suggest reviewing your child's education insurance when they enter elementary school next year." This has led to an increase in customer feedback such as, "They remembered well." A system has been established to ensure that information is passed on even when the person in charge changes, eliminating the reason for cancellation, "The person in charge changed and I stopped receiving contact."

Number of proactive proposals implemented: 2 per month → 11 per month. Retention rate after change of person in charge: 71% → 94%.

One year later—referrals are generated through the system.

It was discovered that 79% of referrals came from the same three connector customers. We made sure to send thank-you messages and prioritized follow-up to these three customers within 48 hours. This accelerated the chain of referrals.

New contracts via referrals: 8 per year → 19 per year. Year-on-year increase in referrals: 238%

A manufacturing company with 5 sales representatives (B2B route sales).

Pre-implementation situation: Weekly reporting meetings were held for 2 hours on Mondays. Each person in charge spent 4-5 hours a week just on preparing documents. Everyone in charge believed the reason for the lost deal was "price," but there was no data to support this.

Three months later—"The real reason for the lost deal becomes clear."

We set "Reason for Loss," "Quote Submission Date," and "Initial Negotiation Date" as field categories for each deal and analyzed three months' worth of lost deals. The perception that "42% of lost deals were due to price" was shattered by the fact that "these were actually concentrated in deals where the quote submission was 3 to 5 days later than the competitors." The discovery that "it wasn't a price issue, but a speed issue" was shared with everyone.

Time spent on lost deal analysis: 4 hours per month (manual) → 15 minutes per month (automated aggregation) Average lead time for quote submission: 5.2 days → 2.1 days (after implementing the 3-business-day rule)

Six months later—"The nature of meetings will change."

Weekly reporting meetings have transformed into decision-making meetings using a dashboard. There's no need to ask, "What's the status of Company A?", as it automatically pops up on the list of stalled projects. Meeting times have been reduced from two hours to 30 minutes.

Weekly reporting meeting time: 8 hours/month → 2 hours/month. Document preparation time: 4-5 hours/week → Zero (abolished).

One year later—the rate of lost deals improves.

The speed of quotes has improved, negotiation phase management has begun to function effectively, and follow-up after a deal has fallen through has also started to work. Relationships that used to end when a deal fell through are now seeing cases where, as a result of continued regular follow-up after a deal fell through, negotiations resume six months later.

Order rate: 18% → 23% (+5 points) Monthly reporting meetings: Abolished (completely switched to dashboard)

Home care service provider (18 caregivers, 62 clients)

Pre-implementation situation: Visit schedules were managed using whiteboards and paper. The actual travel time was not tracked. A survey of weekly travel patterns revealed that the total travel time for all staff was 107 hours per month.

Three months later—"The wasted movement becomes apparent."

All user addresses were registered on a GIS map, and the areas covered by each helper were visualized. Multiple inefficient visit routes spanning multiple areas were identified. A system of assigned areas was implemented, and routes were optimized.

Monthly travel time: 107 hours → 63 hours (△44 hours) Average travel time per helper: 2.8 hours per day → 1.7 hours

Six months later—"The extra time becomes the quality of care."

The time saved by reducing travel time can now be used to improve the quality of records and to communicate with users. Early detection of changes in the "physical condition temperature" field allows for the early identification of cases requiring referral to the attending physician.

Early detection of health changes: 1-2 cases per month → 5 cases per month. Handover time during sudden absences: 30 minutes → 5 minutes (simply reading EMOROCO records).

One year later—monthly travel time reduced by 160 hours.

Area optimization, route design, and integration with assigned personnel skills have progressed, further improving efficiency. The time saved can be used to increase the number of services provided, contributing to increased sales.

Monthly travel time reduction: 44 hours → 160 hours (1,920 hours annually) Return on investment: 6.7 times the monthly cost

Five common factors that brought about change

Regardless of industry, there are five common patterns among companies that have brought about change.

① Set an "emotional temperature" for all customers during the first 30 days.

Once you've set an emotional temperature range for all your customers, you'll discover that 40-50% are below "cool." This shock is the first trigger for changing their behavior.

② The initial design was based on the principle that "if you input data, you will be saved."

Companies that design their systems so that "a list of today's visits automatically appears when you input data" and "tasks with deadlines automatically arrive" rather than requiring users to "input data" tend to have higher employee retention rates.

③ For the first three months, we narrowed down the workflow to just three.

Companies that try to create multiple workflows at once often fail because they can no longer manage them. A more successful approach is to run only the "most important 1-3 workflows" for the first three months, and then add more after that.

④ Managers created a culture where decisions are made based on dashboards rather than weekly reports.

Companies where managers have transformed the dashboard from a "place to receive reports" into a "place to look at for making decisions" tend to see faster adoption.

⑤ A "data-driven review meeting" was held six months later.

Companies that provide an opportunity to review, using numbers, "what has changed since using CRM" six months later see an acceleration in subsequent improvement. When conversations shift from "it feels like things have gotten better" to "these numbers have changed," the sense of ownership throughout the organization changes.

The decisive difference between companies that failed to implement CRM and those that didn't.

What separates companies that have experienced change from those that haven't is not the difference in tools, but the "difference in design philosophy."

Summary — Designing "Your Company One Year from Now"

It's crucial to design your CRM implementation with this timeline in mind: the effects become "visible" in 3 months, "active" in 6 months, and "quantifiable" in 1 year.

The expectation that "sales will increase once it's implemented" isn't wrong. However, it's not that "CRM increases sales," but rather that "sales increase as a result of solving problems that have become visible through CRM."

Start with a 30-day free trial of EMOROCO CRM Lite and begin by setting "Emotional Temperature for All Customers." That first action will be the starting point for change a year from now.

[The first step you can take today] Import your customer list into EMOROCO CRM Lite and try setting an emotional temperature for all your customers. Just checking "what percentage are below cool" will change how you act today.

You can try it with a 30-day free trial.
Digitalization and AI Implementation Subsidy 2026 Compatible Tool Number: DL07-0022934
Product Info:https://www.emoroco.com/

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