Bring back the visitors who almost converted
Retargeting campaigns segmented by intent signal, not one generic "everyone who visited" audience.
Retargeting is running ads to past visitors segmented by what they actually did on the site - page viewed, cart behaviour, funnel stage - rather than to a single undifferentiated audience of everyone who visited.
What is Retargeting?
Retargeting shows ads to people who already visited your site, based on what they actually did there rather than treating every visitor as one interchangeable audience. A product page visitor who didn't buy, a blog reader who never looked at pricing, and someone who abandoned a cart three items deep are three different intent signals - lumping them into one all-visitors audience wastes budget on people who were never close to converting.
Most sites lose the majority of visitors without a conversion on the first visit, which makes retargeting one of the highest-leverage channels available - it's spending against demand that already exists rather than trying to create it from nothing, provided the audience is actually segmented instead of run as one generic reminder ad.
It differs from prospecting campaigns, which reach people who have never interacted with the brand, and from email nurture, which follows up through inbox rather than a paid placement.
Common problems we solve
One audience for every visitor
Cart abandoners, blog readers, and pricing-page visitors all get the same generic ad instead of a message matched to their intent.
Ad fatigue from over-frequency
A useful reminder turns into brand annoyance once frequency caps are left at platform defaults for too long.
Broken dynamic product ads
A messy or incomplete product feed produces retargeting ads that show the wrong products or none at all.
Inconsistent cross-platform targeting
Different audience definitions on Google, Meta, and LinkedIn cause the same visitor to be mis-segmented depending on the platform.
Static messaging that never escalates
The fifth ad someone sees says the same thing as the first, instead of moving them closer to a decision.
Everything covered in this service
Behavioural Segmentation
Audiences built by page visited and on-site behaviour, with cart abandonment as its own distinct segment.
Dynamic Product Retargeting
Product-level ads for e-commerce based on actual browsing, built on a properly structured feed.
Frequency Management
Frequency capping reviewed against actual response, not left at platform defaults.
Cross-Platform Consistency
Consistent audience definitions and sequencing across Google, Meta, and LinkedIn.
Sequential Messaging
Message progression by funnel stage, with offer escalation timed to when a visitor is likely to convert.
Our optimization framework
Audit Behaviour
We map what visitors actually do on the site - pages viewed, cart activity, time on page - before building any audience.
Build Segments
Audiences are split by intent signal, not lumped into one all-visitors group.
Design Sequencing
Message and offer progression are mapped to funnel stage, so the fifth ad someone sees says something different from the first.
Calibrate Frequency
Caps are set from actual response data, then adjusted if fatigue signals, such as falling click-through or rising cost, start to show.
Roll Out Cross-Platform
Segmentation and sequencing are mirrored across every platform in the retargeting mix, not treated as separate audiences.
What actually changes
| Before | After |
|---|---|
| One generic ad shown to every past visitor | Different messaging for cart abandoners versus casual browsers |
| Frequency left at platform defaults indefinitely | Frequency capped and monitored against fatigue signals |
| Same static message repeated regardless of stage | Message escalates as a visitor moves toward conversion |
| Audience definitions differ across platforms | Consistent audiences and sequencing across Google, Meta, and LinkedIn |
| Cart abandoners see a generic homepage ad | Cart abandoners see the specific products they left behind |
What we report on
Conversion rate by segment
Reported per audience, not blended into one overall retargeting number.
Frequency versus response
Checked to see whether repetition is still helping or starting to hurt.
Cost per conversion
Compared between dynamic product ads and static retargeting to see what is actually earning the spend.
Tools & platforms
Industries we optimize for
Built for teams like yours
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
The retargeting mistake we see most isn't under-investment, it's under-segmentation - most of the budget still goes to one audience of everyone who visited in the last 30 days. Splitting that single audience by actual behaviour usually improves efficiency more than any bid or creative change applied to the undifferentiated version.
Related Paid Marketing services
Stop Wasting Ad Spend on Clicks That Were Never Going to Convert
We build Google Ads accounts that spend on buyers ready to convert, not on guesswork.
Meta AdsMeta campaign buying, built for ROAS not reach
Facebook and Instagram ad buying focused on bidding strategy, budget pacing, and creative testing velocity.
The highest-CPC platform, spent with precision
LinkedIn campaign management for B2B - targeting precise enough to justify the cost per click.
One Accountable Team for Every Paid Platform You Run
One team owns your Google, Meta, and LinkedIn accounts end to end, so budget goes where it's actually working.
Display AdvertisingAwareness spend that still gets measured properly
Google Display Network and programmatic campaigns for upper-funnel reach, tracked against downstream conversion.
How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
The terms are generally used interchangeably across platforms - Google calls it remarketing, Meta calls it retargeting. The mechanics are the same: showing ads to people who already interacted with the brand.
No - retargeting improves the odds of recovering an already-interested visitor, but conversion still depends on price, availability, and the original reason someone didn't buy. We can guarantee proper segmentation and sequencing, not a specific recovery rate.
Frequency capping set from actual response data, reviewed periodically against fatigue signals like falling click-through or rising cost, not left at whatever a platform defaults to.
A clean, accurate product feed. Dynamic ads pull directly from the feed, so gaps or errors there show up directly in the ads shown to past visitors.
It depends on typical consideration length for the purchase - a low-cost impulse item needs a much shorter window than a considered B2B purchase. We size the window to the actual sales cycle, not a platform default.
Wherever the original visit and prior paid activity happened, usually Google, Meta, and LinkedIn together, with audience definitions kept consistent so the same visitor isn't mis-segmented on different platforms.
Not sure if your retargeting audience is too broad?
We'll review your current segmentation and frequency before recommending any changes.
Ready to get started?
We usually reply within 24 hours.
Retargeting, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Segmentation | Behavioural audience structure by page and funnel stage |
| Dynamic Retargeting | Product-level dynamic ads for e-commerce, built on a validated feed |
| Frequency & Safety | Frequency caps set and monitored against actual response data |
| Cross-Platform Setup | Consistent audience and sequencing across every platform in use |
How this compares
| Segmented Retargeting | Generic All-Visitors Retargeting |
|---|---|
| Different messaging for cart abandoners versus casual browsers | Same ad shown to every past visitor |
| Frequency capped and monitored against fatigue signals | Frequency left at platform defaults indefinitely |
| Message escalates as a visitor moves toward conversion | Same static message repeated regardless of stage |
Generic retargeting still works better than no retargeting - the gap it leaves is efficiency, not effectiveness at zero.
What we measure this against
- Conversion rate by segment, not one blended retargeting number
- Frequency versus response - checking whether repetition is still helping or starting to hurt
- Cost per conversion for dynamic product ads versus static retargeting
Where this applies
- An e-commerce brand wants cart abandoners shown the specific products they left behind, not a generic homepage ad
- A B2B company wants different messaging for someone who read a blog post versus someone who visited the pricing page
- A business suspects its current retargeting is fatiguing its own audience and wants frequency reviewed