Kako v emailih uporabiti nedavno ogledane izdelke

Blok z nedavno ogledanimi izdelki vsakemu naročniku prikaže izdelke, ki si jih je osebno ogledal v vaši trgovini, samodejno potegnjene v email. Deluje, ker odpravi ugibanje: namesto da bi vi odločali, kaj bi ga utegnilo zanimati, vam je kupec s klikom že sam povedal. Pravilno uporabljen – v tokovih ob opuščenem brskanju, kot sekundarni blok v e-novicah, z oknom svežine enega ali dveh tednov – je eden najbolj klikanih blokov, ki jih lahko vstavite v email. Nepremišljeno uporabljen postane zastarel, ponavlja izdelke, ki jih je kupec že zavrnil, ali zaide na območje »zakaj me ta trgovina opazuje«. Ta vodnik pojasnjuje, kam blok sodi, kako dolgo ostajajo ogledani izdelki relevantni, kaj izključiti in katere podrobnosti postavitve odločajo, ali ustvarja konverzije ali vznemirja.

Ena meja že na začetku: tu gre za lastno zgodovino ogledov vsakega kupca. Prikazovanje izdelkov, ki so najbolj ogledani po vsej vaši trgovini, vsem, je druga taktika z drugimi rabami – to je obravnavano v kako v avtomatiziranih sporočilih uporabiti najbolj ogledane izdelke.

Zakaj ogledani izdelki prekašajo izbrane

Ogled izdelka je namera, ujeta. Nekdo je kliknil na tisto stran, pogledal ceno, morda povečal fotografije. Trženje je opravil namesto vas.

Večina trgovin ta signal zavrže. Obiskovalec odide in naslednji email, ki ga dobi, prikaže ročno izbrano sezonsko mrežo, ki nima nič opraviti s svetilko, ob kateri je štiri minute primerjal barvne odtenke. Plačali ste za klik na oglas, ki ga je pripeljal, zanimanje je bilo resnično, nadaljevanje pa ga je prezrlo.

To je puščanje, ki ga ta blok zamaši. Če trgovina mesečno dobi 20.000 sej in pretvori 2 %, se je 19.600 sej končalo brez nakupa – in pomemben del teh obiskovalcev si je ogledal določene izdelke, medtem ko so bili prepoznani kot naročniki. Email, ki odseva, kar so si ogledali, pobere pogovor tam, kjer je obstal. Email, ki tega ne stori, začne nov pogovor, ki ga nihče ni prosil.

Zanka, ki je nihče ne omenja: deluje le za obiskovalce, ki jih znate prepoznati

Tu je zaplet, ki ga odkrijete v praksi. Podatki o ogledih se navežejo na osebo le, kadar vaša platforma zna obiskovalca prepoznati – običajno zato, ker je kliknil iz enega vaših emailov ali se prijavil na tej napravi in je sledilni piškotek še živ. Ogledi anonimnega obiskovalca so vašemu email orodju nevidni, in naročnik, ki odpre vašo trgovino na novo v drugem brskalniku ali telefonu, je prav tako anonimen.

Doseg tega bloka je torej manjši, kot lastniki trgovin pričakujejo, in nagnjen k vašim vpetim naročnikom. To ni razlog, da bi ga izpustili – ti vpeti ljudje so tako ali tako vaši najverjetnejši kupci – a pojasnjuje dvoje: zakaj se vaš tok ob opuščenem brskanju sproži redkeje, kot bi glede na promet moral, in zakaj vsak email, ki ga pošljete, tiho širi doseg bloka, saj vsak klik tega naročnika na tej napravi znova prepozna.

Kam blok sodi (in kam ne)

Tri mesta si zaslužijo prostor:

  • Tokovi ob opuščenem brskanju. Naravni dom. Nekdo si je ogledal izdelke, ni kupil, in sporočilo mu sledi v nekaj urah. Ogledani izdelki so bistvo emaila. Strategija za tem tokom – sprožilci, zamiki, katerim obiskovalcem sploh pisati – je svoja tema: kako uporabiti vedenje pri brskanju za boljša priporočila izdelkov.
  • E-novice in kampanje, kot sekundarni blok. Vaša kampanja vodi s tem, s čimer vodi; trak »še vedno razmišljate o teh?« blizu dna vsakemu bralcu da oseben razlog za klik, tudi če glavna vsebina zgreši.
  • Emaili ob opuščeni košarici in blagajni, pod košarico. Vsebina košarice je na prvem mestu, a ogledani, a v košarico nedodani izdelki so spodobna stranska zasedba.

In eno mesto, ki se mu izognite: ne gradite cele samostojne kampanje okoli »tukaj je vse, kar ste si ogledali ta mesec«. Dolgo ogledalo nečije zgodovine brskanja, nepovabljeno, deluje kot nadzor in ne kot storitev. Blok naj se zdi kot prodajalec, ki se spomni, kaj ste pomerili – koristno v kontekstu – nikoli kot dnevniška datoteka. Kje leži ta meja in kako ostati na pravi strani, je celovito obravnavano v kako personalizirati emaile v e-trgovini, ne da bi bilo srhljivo.

Okno svežine: kdaj ogledan izdelek neha biti relevanten

Zanimanje hitro upada. Izdelek, ogledan včeraj, je živ premislek; izdelek, ogledan pred šestimi tedni, je običajno zaprto vprašanje – kupili so ga drugje, se odločili proti njemu ali ga povsem pozabili. Ponovno prikazovanje ničesar ne obudi; le vaš email naredi tako, kot da teče na starih podatkih.

Univerzalne številke ni, a praktično privzeto: naj tokovi ob opuščenem brskanju uporabljajo oglede iz zadnjih nekaj dni, blok v e-novicah pa omejite na približno 14 dni zgodovine. Onkraj tega se zatecite k čemu drugemu. Sezonski in premišljeni nakupi raztegnejo okno – nekdo, ki raziskuje espresso aparat za 900 €, se lahko odloča cel mesec – impulzivne kategorije pa ga skrčijo. Okno nastavite tako, da ustreza dejanskemu trajanju premisleka vaših kupcev, kar lahko preverite z lastnimi podatki o času od prvega obiska do naročila.

Kaj izključiti, preden ta blok zaživi

Izključitve so pomembne prav toliko kot vključitve. Štiri, ki jih je treba nastaviti:

  1. Kupljeni izdelki. V trenutku, ko nekdo kupi izdelek, mora ta izginiti iz njegovega bloka ogledanih izdelkov povsod. Ponovno prikazovanje je najhitrejši način, da izpadete kot stroj – širša različica te težave je obravnavana v izogibanje priporočanju izdelkov, ki jih je kupec že kupil.
  2. Razprodani izdelki. Ogledan izdelek, ki ga ne morejo kupiti, je vabilo, da odidejo.
  3. Občutljive kategorije. Če prodajate karkoli, kar bi kupci utegnili pregledovati zasebno – intimni izdelki, medicinski pripomočki, darila za osebo, ki si deli nabiralnik – bodisi te kategorije izključite iz bloka bodisi blok obdržite zunaj široko razposlanih kampanj.
  4. Izdelki, ki so že v aktivnem toku. Če je vaš email ob opuščenem brskanju pravkar izpostavil izdelek, se e-novice dva dni pozneje ne bi smele začeti z istim.

Kaj avtomatizirati

Konkretno, za različico ob opuščenem brskanju:

  • Sprožilec: stik si ogleda eno ali več strani izdelkov, ne da bi začel postopek na blagajni.
  • Segment: samo prepoznani naročniki (neizogibno – glejte zgoraj); izključite vse, ki so kupili v zadnjih nekaj dneh, in vse, ki so že znotraj toka.
  • Časovanje: prvi email nekaj ur po koncu seje. Pošiljanje v isti minuti deluje kot sprožilna žica; pošiljanje naslednji teden zgreši okno.
  • Kanal: email nosi blok izdelkov; če uporabljate SMS, ga pridržite za preprosto besedilno spodbudo, ne za mrežo izdelkov.
  • Vsebina: ogledani izdelki, dinamično vstavljeni, z imeni, cenami in enim jasnim gumbom za vsakega. Dva ali trije izdelki, ne ducat.
  • Cilj: ponovni obisk in nakup; ob nakupu takoj izstopite iz toka.

Za e-novice ni sprožilca, ki bi ga nastavili – v predlogo enkrat vstavite dinamičen blok nedavno ogledanih izdelkov, nastavite okno svežine in izključitve, in vsako pošiljanje se personalizira samo. Mehanika blokov, ki se za vsakega prejemnika izrišejo drugače, je obravnavana v kako uporabiti dinamično vsebino v emailih e-trgovine.

Primer trgovine (ilustrativno)

Naročnica trgovine s pohištvom, Ana, klikne kampanjo, si ogleda dva naslanjača in stoječo svetilko ter odide. Tisti večer dobi kratek email: »Se še odločate? Tukaj je, kar ste si ogledali« – dva stola in svetilka, trenutne cene, en gumb za vsakega. Ne kupi. Dva tedna pozneje prispejo mesečne e-novice, ki vodijo z novo kolekcijo; blizu dna trak nedavno ogledanih izdelkov prikaže en naslanjač – svetilka je izpadla iz okna, drugi stol pa je pošel. Klikne stol in ga naroči.

Nič v tem zaporedju ni bilo ročno izdelano za Ano. Tok in blok sta to storila za vsakega naročnika, kot je ona. (Ilustrativni primer – bistvo je mehanizem, ne številke.)

Kako to izmeriti

  • Stopnja klikov na bloku v primerjavi z drugimi bloki v istem emailu – to vam pove, ali ogledani izdelki prekašajo vašo privzeto vsebino, kar je celotna stava.
  • Prihodek na prejemnika toka ob opuščenem brskanju – pravi rezultatnik toka.
  • Stopnja od ogleda do nakupa za emailane stike v primerjavi z neemailanimi brskalci, če vaša analitika omogoča primerjavo.
  • Stopnja odjav in pritožb o neželeni pošti pri tokovih, ki uporabljajo blok – vaše zgodnje opozorilo, da personalizacija pristaja kot pritisk namesto pomoči.

Kako to narediti v Omnisendu

Omnisend uporabljam v svojih trgovinah – po tem, ko sem preizkusil oba, sem ga izbral pred Klaviyem, predvsem zaradi cene in tega, kako malo nastavljanja zahtevajo vedenjske funkcije. Tu sta pomembna dva dela: avtomatizacija ob opuščenem brskanju, ki se sproži ob ogledih izdelkov s strani prepoznanih stikov, in blok s priporočilom izdelkov, ki lahko emaile samodejno napolni z nedavno ogledanimi izdelki, pri čemer kupljene in razprodane izdelke uredijo nastavitve bloka. Za prepoznavo obiskovalcev poskrbi izsek za spletno sledenje, kar je natanko razlog, da velja prej omenjeni zadržek glede dosega: prepozna ljudi, ki so kliknili vaše emaile ali se prijavili na tej napravi, ne pa vsakega obiskovalca.

Pošteno opozorilo glede pričakovanj: na majhnem seznamu se ta tok sprva sproži skromno. Doseg raste, ko vaše kampanje znova prepoznajo več naročnikov. To je normalno, ne pokvarjeno.

Vaš naslednji korak

Preverite, ali vaša trgovina sploh zajema vedenje pri ogledovanju – če spletno sledenje vaše email platforme ni nameščeno, nič iz tega članka še ni mogoče, in to je prvi popravek. Če sledenje deluje, ne gradite tridelne različice ničesar tega: samo en email ob opuščenem brskanju z blokom nedavno ogledanih izdelkov, nekaj ur zamika in štiri zgornje izključitve. Pustite ga teči mesec dni, preden ga sodite ali razširjate.

Using Recently Viewed Products in Email

A recently viewed products block shows each subscriber the items they personally looked at on your store, pulled into the email automatically. It works because it removes the guessing: instead of you deciding what might interest them, the customer already told you by clicking. Used well — in browse abandonment flows, as a secondary block in newsletters, with a freshness window of a week or two — it’s one of the highest-clicking blocks you can put in an email. Used carelessly, it gets stale, repeats products they already rejected, or crosses into “why is this store watching me” territory. This guide covers where the block belongs, how long viewed products stay relevant, what to exclude, and the setup details that decide whether it converts or unsettles.

One boundary up front: this is about each customer’s own viewing history. Showing everyone the products most viewed across your whole store is a different tactic with different uses — that one’s covered in how to use most-viewed products in automated messages.

Why viewed products outperform picked products

A product view is intent, captured. Somebody clicked through to that page, looked at the price, maybe zoomed the photos. They did your merchandising for you.

Most stores throw this signal away. The visitor leaves, and the next email they get shows a hand-picked seasonal grid that has nothing to do with the lamp they spent four minutes comparing finishes on. You paid for the ad click that brought them in, the interest was real, and the follow-up ignored it.

That’s the leak this block plugs. If a store gets 20,000 sessions a month and converts 2%, then 19,600 sessions ended without a purchase — and a meaningful slice of those visitors viewed specific products while identified as subscribers. Email that reflects what they viewed picks the conversation up where it stopped. Email that doesn’t starts a new conversation nobody asked for.

The catch nobody mentions: it only works for visitors you can recognize

Here’s the friction you discover in practice. Viewing data attaches to a person only when your platform can identify the visitor — typically because they clicked through from one of your emails, or signed up on that device, and the tracking cookie is still alive. An anonymous visitor’s views are invisible to your email tool, and a subscriber who opens your store fresh on a different browser or phone is anonymous too.

So the reach of this block is smaller than store owners expect, and it’s biased toward your engaged subscribers. That’s not a reason to skip it — those engaged people are your likeliest buyers anyway — but it explains two things: why your browse abandonment flow triggers less often than your traffic suggests it should, and why every email you send quietly widens the block’s reach, since each click re-identifies that subscriber on that device.

Where the block belongs (and where it doesn’t)

Three placements earn their spot:

  • Browse abandonment flows. The natural home. Someone viewed products, didn’t buy, and a message follows up within hours. The viewed items are the whole point of the email. The strategy behind this flow — triggers, delays, which visitors to message at all — is its own topic: how to use browsing behavior for better product recommendations.
  • Newsletters and campaigns, as a secondary block. Your campaign leads with whatever it leads with; a “still thinking about these?” strip near the bottom gives each reader a personal reason to click even if the main content misses.
  • Cart and checkout abandonment emails, below the cart. The cart contents come first, but viewed-but-not-carted items make a decent supporting cast.

And one placement to avoid: don’t build an entire standalone campaign around “here’s everything you looked at this month.” A long mirror of someone’s browsing history, unprompted, reads as surveillance rather than service. The block should feel like a shop assistant remembering what you tried on — helpful in context — never like a log file. Where that line sits, and how to stay on the right side of it, gets a full treatment in how to personalize ecommerce emails without being creepy.

The freshness window: when a viewed product stops being relevant

Interest decays fast. A product viewed yesterday is a live consideration; a product viewed six weeks ago is usually a closed question — they bought it elsewhere, decided against it, or forgot it entirely. Showing it again doesn’t rekindle anything; it just makes your email feel like it’s running on old data.

There’s no universal number, but a practical default: let browse abandonment flows use views from the last few days, and cap the block in newsletters at roughly 14 days of history. Past that, fall back to something else. Seasonal and considered purchases stretch the window — someone researching a €900 espresso machine may deliberate for a month — while impulse categories shrink it. Set the window to match how long your customers actually deliberate, which you can sanity-check against your own time-from-first-visit-to-order data.

What to exclude before this block goes live

The exclusions matter as much as the inclusions. Four to configure:

  1. Purchased items. The moment someone buys a product, it must leave their viewed block everywhere. Showing it again is the fastest way to look like a machine — the broader version of this problem is covered in avoiding recommending products a customer already bought.
  2. Out-of-stock products. A viewed item they can’t buy is an invitation to bounce.
  3. Sensitive categories. If you sell anything customers might browse privately — intimate products, medical items, gifts for the person who shares their inbox — either exclude those categories from the block or keep the block out of broadly-sent campaigns.
  4. Items already in an active flow. If your browse abandonment email just featured a product, the newsletter two days later shouldn’t open with the same one.

What to automate

Concretely, for the browse abandonment version:

  • Trigger: contact views one or more product pages without starting checkout.
  • Segment: identified subscribers only (unavoidable — see above); exclude anyone who purchased in the last few days and anyone already inside the flow.
  • Timing: first email a few hours after the session ends. Same-minute sends feel like a tripwire; next-week sends miss the window.
  • Channel: email carries the product block; if you use SMS, keep it for a plain-text nudge, not a product grid.
  • Content: the viewed products, dynamically inserted, with names, prices, and one clear button each. Two or three items, not a dozen.
  • Goal: return visit and purchase; exit the flow immediately on purchase.

For newsletters, there’s no trigger to configure — you drop a dynamic recently-viewed block into the template once, set the freshness window and exclusions, and every send personalizes itself. The mechanics of blocks that render differently per recipient are covered in how to use dynamic content in ecommerce emails.

A store example (illustrative)

A furniture store’s subscriber, Ana, clicks a campaign, views two armchairs and a floor lamp, and leaves. That evening she gets a short email: “Still deciding? Here’s what you were looking at” — the two chairs and the lamp, current prices, one button each. She doesn’t buy. Two weeks later the monthly newsletter arrives, leading with a new collection; near the bottom, the recently-viewed strip shows one armchair — the lamp dropped out of the window, and the second chair went out of stock. She clicks the chair and orders it.

Nothing in that sequence was hand-built for Ana. The flow and the block did it for every subscriber like her. (Illustrative example — the point is the mechanism, not the numbers.)

How to measure it

  • Block click rate versus other blocks in the same email — this tells you whether viewed products beat your default content, which is the entire bet.
  • Browse abandonment flow revenue per recipient — the flow’s real scoreboard.
  • View-to-purchase rate for emailed contacts versus non-emailed browsers, if your analytics allow the comparison.
  • Unsubscribe and spam-complaint rate on flows using the block — your early warning that the personalization is landing as pressure instead of help.

Doing this in Omnisend

Omnisend is what I use in my own stores — chosen over Klaviyo after running both, mainly for price and how little configuration the behavioral features need. Two pieces matter here: the browse abandonment automation, which triggers off product views by identified contacts, and the product recommender block, which can populate emails with recently viewed items automatically, with purchased and out-of-stock items handled by the block settings. The web tracking snippet does the visitor identification, which is exactly why the reach caveat from earlier applies: it recognizes people who’ve clicked your emails or signed up on that device, not every visitor.

Fair warning on expectations: on a small list this flow fires modestly at first. Reach grows as your campaigns re-identify more subscribers. That’s normal, not broken.

Your next step

Check whether your store is capturing viewing behavior at all — if your email platform’s site tracking isn’t installed, nothing in this article is possible yet, and that’s the first fix. If tracking is live, build the three-email version of none of this: just one browse abandonment email with a recently-viewed block, a few hours’ delay, and the four exclusions above. Let it run for a month before you judge it or expand it.

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