How is this different from our email platform's flows?

Most platform flows branch on a handful of triggers. This connects to your full order history, product data, and support tickets, so timing follows the individual customer's pattern rather than a fixed delay after purchase.

Will more email hurt our deliverability?

Volume is not the risk; irrelevance is. Better targeting typically means fewer sends per customer with higher engagement, which improves sender reputation rather than eroding it.

Will the outreach feel automated to prospects?

That depends entirely on how it is written. We build sequences around real context — what the prospect enquired about, what their company does, what they did on your site — and keep messages short. Generic high-volume blasting is what damages a sender reputation, and we do not build it.

Does this replace our sales team?

No, it removes the administrative half of their day. Reps spend their time in conversations rather than on data entry, chasing, and remembering who needs a nudge on Thursday.

Sales Automation · E-commerce

Sales Automation for E-commerce

The revenue is in the customers you already have.

Acquisition costs keep rising while existing customer data sits underused. Automated lifecycle marketing — replenishment timing, post-purchase sequences, win-back, and cart recovery that addresses the actual objection — works the list you already paid for.

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To first contact: MinutesTo first contact
Forgotten follow-ups: 0Forgotten follow-ups
Full pipeline: SyncedFull pipeline

Typical stack

HubSpot
n8n
OpenAI
Twilio
Clay

Use cases

What this handles for e-commerce brands

Recover abandoned carts with messaging matched to the product and the objection
Time replenishment reminders to each product's actual consumption cycle
Run post-purchase sequences that drive reviews, referrals, and the natural next order
Win back lapsed customers based on their individual purchase rhythm

Repeat revenue driven by behaviour and timing rather than a blanket weekly campaign.

Context

The e-commerce problem underneath it

E-commerce volume scales faster than the team handling it. Support tickets, returns, supplier updates, product content, and channel reconciliation all grow linearly with orders — and all of them are largely mechanical. AI systems absorb that growth without proportional hiring.

The same 'where is my order' question dominates support volume around the clock
Returns and exchanges involve several systems and a lot of copy-paste
Product descriptions and attributes are a bottleneck on every new range
Inventory and pricing live in different places across marketplaces and your store

What we build

Inside a sales automation system

Speed to first contact is the single highest-leverage variable in inbound sales, so we automate that first and measure it. Then we build sequences that are personalised from real enrichment data rather than mail-merged first names, and we stop them the instant a human conversation starts.

Instant lead capture and enrichment from web forms, calls, chat, and ad platforms
Scoring and routing rules that put the right lead with the right rep immediately
Multi-channel follow-up sequences across email, SMS, and voice
Personalisation drawn from firmographic and behavioural data, not just merge tags
Automatic sequence exit as soon as a human reply or booking is detected
Reactivation campaigns that work dormant lists on a schedule

Deliverables

What ships with the engagement

Lead lifecycle map from first touch through to closed
Configured routing, scoring, and SLA alerting
Written and tested follow-up sequences per lead source
CRM hygiene automations for deduplication and stage enforcement
Reporting on response time, sequence performance, and conversion by source

FAQ