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.
30,716
SMS sends (all time)
86.8%
Delivery rate, all time
715
Inbound reply conversations
The Numbers
What the campaign actually produced
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
The list cleaned itself · Failure rate by month
15.9%
February
17.1%
March
10.2%
April
5.3%
May
Data Cloud · failed sends by month, Feb – May 2026 (segment-corrected)
The first sends went to a database that hadn't been contacted in years, and the results showed it. Failure rates ran 16–17% in February and March as the campaign hit dead and outdated numbers. Those numbers were flagged and suppressed automatically, and by May the failure rate was down to 5.3%. The campaign started conversations and also left Equipter with a cleaner database that every other channel now benefits from.
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, 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.
1,218
Opt-outs handled automatically
STOP and QUIT replies are detected and honored immediately, at 4.6% of delivered messages, with zero manual unsubscribe processing.
13.2%
Failure rate — the data-quality signal
4,066 of 30,716 sends failed overall (26,650 delivered, 86.8%). Failures peaked at 17.1% in March as early sends reached years-old records, then fell to 5.3% by May as dead numbers were suppressed. Equipter now has a prioritized list-hygiene backlog instead of a guess.
All figures are Equipter's own production data, segment-corrected to segment 1. Outbound volume, delivery, failures, and opt-outs come from Data Cloud; inbound replies come from Service Cloud Messaging (MessagingSession).
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, handled automatically
Inside The Build
The actual Salesforce screens behind the campaign
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.
Brad Unruh
Specialty Roofing LLC · Messaging Session
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
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 routed to reps, and a database that cleaned itself along the way.
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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