Industries · Email and SMS
Lead generation for marketing agencies that run email and SMS for consumer brands
Read the research ↓By Shreyan Rajesh, co-founder of Mason · Updated 9 November 2026
The short answer
We studied 19 consumer brands that hired an email and SMS agency, or a Shopify build shop that sells beside one, and compared the 12 months before with the year before. Nothing rose clearly. A marketing leader moved at 13 of 19, against 11. Much of what happens to a brand happens every year.
For retention agencies
Who this is for
This page is about lead generation for marketing agencies that run email and SMS for direct-to-consumer brands: retention, lifecycle and Klaviyo agencies. You own the flows, the campaigns and often the SMS programme. You know which brands fit. The hard part is knowing which one is about to change agency.
This market is hard to read from outside, and the research says so. We found no single event that marks the year a brand hires. We did find where the dates live, and which checks stop you pitching the wrong brand. If you want the method first, here is how we research a market. If you sell accounting to the same brands, see ecommerce accounting.
The market
What we see in this market
Client lists carry no dates
Of 3,505 client mentions on agency websites, 2,235 were logo walls or lists and 572 were case studies. Of the 80 consumer brands in scope with the work described, 28 had a start month. A logo tells you who, never when.
Most agencies are small
294 of the 458 agencies we mapped that sell email, SMS or ecommerce growth work to consumer brands have fewer than 30 staff. The median, across the 437 with a headcount on record, is 16.
Brands do not ask in public
0 of 19 brands asked in public for an agency. The only public ask we found was a job post for an email or lifecycle seat, at 4 of 19 brands, and at 4 of 19 the year before too.
The look-back
What came before a brand hired an agency
For each brand we looked at two years: the 12 months before the purchase, and the 12 months before that. An event that is just as common in the earlier year describes the kind of brand that buys. It does not tell you when. In this market, every event we checked was about as common in the earlier year.
No row rose clearly. The bases differ by event because not every source reached every brand.
The recall, sell-out or support backlog row looks higher, 6 of 18 against 3 of 11, but the two years were read over different numbers of brands, so we do not count it as a rise.
Signals
Signals that held up, and signals that did not
A new marketing or growth leader
A leader started or left at 13 of 19 brands in the purchase year and 11 of 19 the year before. It describes brands that buy, not when they buy.
Funding
A funding round or a loan came before 4 of 17 purchases, and 6 of 17 the year before. Money did not mark the buying year.
New products, retailers and channels
A first-ever product category: 6 of 16 against 7 of 16. A first new country, retailer or marketplace: 3 of 18 against 4 of 18. SMS, an app or a loyalty programme going live: 5 of 19 in both years.
A visible agency switch
1 of 18 in the purchase year, 1 of 16 the year before. When a brand changes agency, it rarely shows from outside.
Read what was bought · 7 of 14 were builds
7 of the 14 deals we credited to competing agencies were Shopify builds or redesigns, not email or SMS work. Read the work page before you count a deal as a retention win.
Read the running tool, not the name · 6 of 40
A storefront check for brands with no SMS tool running verified 6 of 40 brands. A plain text match for "sms" would have flagged 4 brands that already ran SMS.
Check who owns the gap · 1 of 3
Of 3 brands with no SMS tool running, only 1 had nobody running retention. The other 2 had lifecycle staff. A missing tool is half a signal until you read the team.
None of these is a buying signal. They are the checks that stopped us counting the wrong deal or pitching the wrong brand.
In practice
What is working, to an extent
Look where the dates are
Reading agencies' own case study and work pages dated 107 of 317 known deals. A web search for each deal dated 0 of 10.
A review directory's project length, a start month and an end or "ongoing", was on 42 of 42 reviews we read. The dated record of who bought what sits with the sellers, not the press.
Watch the seat, not the ask
No brand asked for an agency in public. The public ask, when there was one, was a job post for an email or lifecycle seat.
It was just as common the year before, 4 of 19 in both years. Treat it as a reason to look at a brand, not as a trigger.
The limits, plainly
- This is 19 brands. Only large differences would show, and none did.
- 7 of the 19 bought a Shopify build rather than email or SMS work, all 7 among the 14 competitor deals. The events were checked on all 19.
- The comparison is each brand's own earlier year. We had no group of similar brands that did not buy. So this shows what was common before a purchase. It does not prove an event predicts one.
- We have not yet measured replies or meetings from these signals. When we do, this page gets updated.
Checklist
If you want to try this yourself
How we found the agencies in this market, and the brands behind them: the email and SMS case study. The same method in four other markets: all case studies.
Date deals from the agencies' own work pages and review directories, not from news searches.
Before you count a competitor's win, read what was bought. 7 of the 14 we checked were site builds.
For a missing-tool check, look for the tool running on the store, not the app's name.
Before you pitch a gap, read the brand's team. Someone may already own retention.
Treat a new marketing leader, a funding round or a new channel as context, not a trigger. Each was as common the year before.
Your market. Your past deals.
Want this research run on your own market, with your own past deals?