IGF IT Consulting

A referral would open the door. The website was quietly closing it again.

Business: Independent IT consulting
Location: Ohio
Size: Solo practice
Before: A one-page bio site with a single generic "contact me" form

A handwritten letter of introduction beside a closed laptop on a consultant's desk.

As we found it

IGF's practice runs almost entirely on referrals from a small circle of former colleagues and client contacts. A referral already carries trust before the first email goes out.

A referred prospect would visit the site before the intro call and find a thin, generic bio page. It undersold the exact expertise the referral had just vouched for. There was no way to tell a one-time IT assessment from an ongoing advisory retainer. Some prospects went cold and never booked at all. On calls that did happen, IGF had no idea who referred the person or what the referrer had already told them. Every call started from zero.

Structure: IT strategy assessments and ongoing advisory retainers for small and mid-sized businesses, sourced almost entirely by referral
Seasonality: Referral flow is steady but unpredictable, arriving in small warm batches rather than a pipeline

Referral context carried to the call.

The same operation, drawn twice. Switch sheets or slide the overlay to see what changed, and what stayed the same.

As found: Trust lost at the website
As built: Referral context carried to the call

Overlay

As found. The referral arrives warm, meets a thin bio page, and the intro call starts from zero.

As built. Intake records who referred the prospect and why, matches the offer, and briefs the call.

What we installed

Product families involved: Client Intake Systems, Follow-Up and Automation.

Item	System
01	Authority Website with a clear, differentiated service architecture: IT Assessment, Advisory Retainer, and Fractional CTO engagements
02	A referral-aware intake path capturing who referred the prospect and what the referrer flagged as the need
03	Booking tied to offer type, so a prospect self-selects the right conversation
04	An automated pre-call brief compiled from intake answers, delivered before every call

How one change led to the next.

Read it left to right. Each step depends on the one before it, from the system itself to what the business felt. Take one out and the chain breaks.

System change

Step 1Referral context is captured at intake instead of living only in a text thread with the referrer
Step 2The site's service architecture matches the level of trust the referral already built

Behavior change

Step 3Fewer referred prospects go cold after visiting the site

Operational effect

Step 4An automated brief means IGF walks into every call with context, not from zero
Step 5Proposals fit the actual need instead of a generic pitch

Business effect

Step 6A higher share of referrals convert to a paid engagement

What the numbers did.

Referred prospects per quarter, counted at every stage. Each percentage is worked out from the counts beside it.

Before: 17.9%First 90 Days: 45.2%

Of referred prospects became a paid engagement. Before: Quarterly cohort, pre-implementation. First 90 Days: Quarterly cohort, post-implementation.

Before

Quarterly cohort, pre-implementation. One mark per referred prospect.

5 converted to a paid engagement23 did not reach an engagement

First 90 Days

Quarterly cohort, post-implementation. One mark per referred prospect.

14 converted to a paid engagement17 did not reach an engagement

Where each quarterly cohort dropped away. Each rate is that stage's count divided by the stage before it.
Stage	BeforeQuarterly cohort, pre-implementation	First 90 DaysQuarterly cohort, post-implementation
Referred prospects	28Starting count	31Starting count
Visited the site	2485.7% of prior stage	3096.8% of prior stage
Booked an intro call	1458.3% of prior stage	2790% of prior stage
Intro call held	1285.7% of prior stage	2696.3% of prior stage
Converted to a paid engagement	541.7% of prior stage. Weakest stage	1453.8% of prior stage. Weakest stage now
Reached the last stage	17.9%	45.2%

Other measures in the case.

Pre-call preparation time per referred prospect

Before: Roughly 35 minutes reconstructing context from email threads and texting the referrer directlyAfter: Roughly 6 minutes reviewing the automated pre-call brief

Measured per referred prospect: time back for the work clients actually pay for.

Who felt the change.

For the team

There's no staff. That's the point. The system does the context-gathering a growing team would otherwise have to absorb.

For customers

A referred prospect gets a website and an intro call that both match the credibility the referral already promised, instead of a letdown.

Twelve months on

The referral-to-engagement rate nearly tripled, with no change in referral volume. For a solo practice, new-business capacity is the real constraint, not demand. That's exactly the constraint this fixed.

How customers see them now

Referred prospects now meet a practice that looks and responds as capably as the referral promised.

What this case proves.

For a referral-driven practice, the website's job is to protect the trust the referral already built. Looking better isn't the same as working better.

If your business runs on warm introductions, treat the first digital touch after that introduction as part of the referral itself, not a separate marketing job. Get it wrong and you can undo the trust in one click.

The lesson any business can take from IGF IT Consulting.

BGM Insurance Agency

They already paid for a CRM. It just wasn't built to match how the agency actually worked.

Read the next case

A broker's policy binder open to a renewal schedule with a few dates highlighted.

You've read the record. Now let's draw yours.

Every case here started the same way: the business as it runs today, drawn honestly. A Systems Review does that for yours, then tells you whether the first move is a website, call coverage, connected follow-up, or something custom.

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