True Co.
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Case StudyEquipterMay 2026
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30,716 messages sent. 715 conversations started. Zero manual list management.

How a 10-product manufacturer turned a stale contact database into product-specific SMS conversations that drive real pipeline.

Equipter story

30,716

SMS sends (all time)

26.7%

Response rate, first 60 days

715

Inbound reply conversations

The Numbers

What the campaign actually produced

Best cohort

First 60 days · cleanest list

Delivery rate

26.74%

Response rate

2.04%

Opt-out rate

Marketing Cloud Channel Activity, Mar 1 – Apr 30, 2026 · 380 inbound replies, 154 unsubscribes

All time · full database

86.8%

Delivery rate

2.7%

Response rate

4.6%

Opt-out rate

SMS Campaign Analytics, all time · 30,716 sends, 26,650 delivered, 715 replies, 1,218 opt-outs

Email benchmark

~99%

Delivery rate

6%

Response rate

0.2%

Opt-out rate

Mailchimp, 2024 Benchmark Report (industry average, for context only)

The first two months ran against the cleanest slice of Equipter's database — records with verified mobile numbers and recent product interest. That cohort is the honest read on what the channel does when the list is good: a 26.7% response rate and a 2.04% opt-out rate. As the program expanded into older, less-maintained records, delivery and response softened — which is exactly the signal Equipter now uses to prioritize data hygiene.

Measured Impact

Four numbers from Equipter's production data

715

Inbound conversations

Every reply lands as a Service Cloud Messaging Session routed to the owning rep with full CRM context. 715 hand-raisers to date — 380 of them inside the first two months — none of which required a cold call to originate.


0

Manual lists pulled

Data Cloud segments continuously refresh the audience — new contacts enter, inactive ones exit. No CSV exports, no manual list builds, no stale data. The system self-manages so ops focuses on strategy, not spreadsheets.


380

Replies in the first two months

The Mar–Apr cohort — records with verified mobile numbers and recent product interest — returned 380 inbound replies at a 26.74% response rate, the clearest read on what the channel does when the list is clean.


13.2%

Failure rate — the data-quality signal

4,066 of 30,716 sends failed to deliver (26,650 delivered, 86.8%). Those failures map almost entirely to landlines and outdated numbers in legacy records, giving Equipter a concrete, prioritized list-hygiene backlog instead of a guess.


All figures are Equipter's own production data: outbound volume, failures, and opt-outs sourced from Data Cloud; inbound replies from Service Cloud Messaging (MessagingSession); segment-corrected to segment 1 only. First-60-day cohort figures are from Marketing Cloud Channel Activity for Mar 1 – Apr 30, 2026. Email figures are an industry benchmark shown for context, not Equipter data.

The Proof Point

What Equipter actually built — and the results

Equipter sells 10 equipment products (RB4000, RB3000, Tow-A-Lift, Cranes, and more) through a direct sales team processing roughly 1,000 leads per month — a mix of cold leads and new inbound from the website and social media.

True Co. built an SMS marketing system inside Salesforce that segments their contact database by product interest, delivers personalized 5-touch drip campaigns tailored to each product line, and routes every inbound reply to the owning rep as a live Messaging Session.

The system runs hourly with zero manual intervention. The Data Cloud segment rebatches the audience automatically. Reps don't touch the outreach — they only engage when a customer replies. Two primary reps saw year-over-year sales increases directly attributable to the conversations the system started.

30,716

SMS sends

Across 10 product tracks, all time (segment-1 corrected)

26,650

Delivered

86.8% delivery rate; 4,066 failures on legacy numbers

715

Inbound replies

Service Cloud Messaging Sessions routed to the owning rep

1,218

Opt-outs

4.6% all time — 2.04% on the clean first-60-day cohort

Inside The Build

The actual Salesforce screens behind the campaign

Marketing Cloud journey branching into product-specific SMS sequences
Automated journey. One hourly recurring entry splits 1,063 runs across ten product-interest branches — five SMS touches each, spaced four days apart.
Salesforce lead record with Einstein lead score and inbound messaging session
Lead in context. The inbound text lands in Omni-Channel next to lead score, product interest, and full activity history.
Salesforce messaging session showing an automated SMS and rep takeover
Rep takeover. The automated message opens the thread; eight minutes later a rep joins the same session and quotes the machine.

In Action

Automated message. Real sales conversation.

An automated SMS goes out to an existing customer with product-specific messaging about the RB4000 — upgrades, stock availability, and service support.

The customer replies organically. Within minutes, their assigned rep joins the Messaging Session and continues the conversation — turning a marketing touchpoint into a live sales interaction.

This is ROI in its simplest form: an automated message that generates a qualified, inbound conversation — routed to the right rep with full CRM context.

BU

Brad Unruh

Specialty Roofing LLC · Messaging Session

Live

Hi Brad – John from Equipter here. Hope your year is off to a great start! Wanted to check in and see if there's anything you needed from service and support for your Equipter(s) going into the roofing season. Also – we made a few upgrades to the 4000 this year if you're in the market. (We still have a few original models in stock for a better price.) Happy to help if you need anything.

Automated · 12:20 PM

Hi John, little slow so far this year, doubt we will be upgrading any equipters this year if we don't have to – would be interested in hearing about the upgrades, thanks

Brad · 1:11 PM

John K joined the conversation · 3:47 PM

Sent you an email with the full rundown on the upgrades!

John K · 3:48 PM

How It Works

Four steps. Fully automated. Inside Salesforce.

01

Segment

Data Cloud continuously evaluates your contact population and feeds qualified contacts into the campaign. New contacts enter, inactive ones exit — no manual list management.


02

Personalize

A routing engine evaluates each contact's product or service interest and assigns them to a tailored SMS track. Different messaging for different buyers.


03

Drip

5 SMS messages per track, spaced 4–8 days apart. Each message is written for that specific product line's value prop and buyer profile. Compliance built into every send.


04

Hand off

When a customer replies, the conversation surfaces in the assigned rep's Salesforce console as a live Messaging Session. Full CRM context attached. Rep picks up the thread and closes.


Runs hourly · Zero manual intervention

The Takeaway

Your reps shouldn't be starting conversations. They should be finishing them.

Most sales teams spend the majority of their outreach effort on the hardest part: getting a response. SMS flips that equation. The system starts the conversation, and the rep steps in only when the customer raises their hand.

Imagine segmenting your prospect database by product or service interest and running personalized SMS drips that generate inbound replies routed straight to the owning rep. No cold calls. No manual list pulls. No replies falling through the cracks.

Equipter proved the model in production: 30,716 sends across 10 product lines, 715 inbound conversations, and a 26.7% response rate on the cleanest slice of the database in the first two months.

The infrastructure is production-proven. The question is what it looks like tailored to your sales process and product catalog.

Let's build the same system for your team.

trueco.com·josh@trueco.com·(223) 380-2113

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