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Article

Meta ads attribution windows for Indian healthcare: 1-day vs 7-day click, view-through, and DPDP

When to use 1-day-click, 7-day-click and view-through attribution for Indian healthcare Meta ads — plus what changed after DPDP and Meta's 28-day sunset.

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When to use 1-day-click, 7-day-click and view-through attribution for Indian healthcare Meta ads — plus what changed after DPDP and Meta's 28-day sunset.

TL;DR

When to use 1-day-click, 7-day-click and view-through attribution for Indian healthcare Meta ads — plus what changed after DPDP and Meta's 28-day sunset.

Attribution windows are the quietest reason two agencies pitching the same fertility clinic report wildly different CPLs. One team runs on 7-day-click plus 1-day-view (Meta's default), the other has switched to 1-day-click only, and the third is still emotionally attached to 28-day-click which Meta deprecated in early 2022. Same account, same spend, same actual bookings — but three headline CPL numbers, each defensible in isolation, none of them comparable. In a DPDP world where consent gates chop 20-40% of pixel signal before it even leaves the browser, the choice of attribution window has stopped being a "reporting preference" and become a live optimisation decision. Get it wrong and Meta's algorithm learns from the wrong signal, scaling ad-sets that look strong on paper but never actually delivered a booked consultation. This piece walks through what each window means, when to use which one, what happens in the DPDP consent-loss era, and how to reconcile Meta's view against your CRM — as we do on the 23+ healthcare accounts running on Meta Catalyst IQ.

What attribution windows actually mean

An attribution window is Meta's rule for deciding which ad "gets credit" for a conversion. It has two moving parts. The click window is how long after a click on your ad a conversion still counts (options: 1-day-click, 7-day-click). The view window is how long after someone saw but did not click your ad a conversion still counts (options: none, or 1-day-view). Combine them and you get the four windows Meta actually offers in 2026: 7-day-click plus 1-day-view (the default), 7-day-click, 1-day-click plus 1-day-view, or 1-day-click.

The window controls two things. It controls what number you see in Ads Manager as your CPL and it controls what signal Meta's optimisation algorithm learns from. That second part matters more than the first. A narrower window (1-day-click) means Meta only counts fast-acting responses — good for optimisation on IVF where the enquiry usually happens same-day. A wider window (7-day-click) means Meta counts slower buyers too — better for high-consideration purchases like dental aligners or hair transplant where prospects research for days before enquiring.

Meta's default: 7-day-click, 1-day-view

Every new Meta ad account defaults to 7-day-click plus 1-day-view. This is the widest window currently available and it is designed to maximise attributed conversions — which makes Meta look good on its own dashboard. For a typical Indian healthcare brand, the default over-attributes to Meta by roughly 15-25% compared to what your CRM will accept as "genuinely Meta-sourced" leads.

That is not necessarily a bad thing at start-up. In the first 30-45 days of a new account, you want Meta to see as many conversions as possible so the optimisation algorithm exits the learning phase quickly. Once you are past learning and want to scale, the wide default starts to bite — because ad-sets that look profitable at 7-day-click plus 1-day-view often crumble at 1-day-click when you look at the same 30-day period through both lenses.

Why 28-day-click is gone (and it matters)

Until October 2021, Meta's default was 28-day-click plus 1-day-view — a hangover from a pre-iOS-14 world where the pixel could reliably observe conversions weeks after a click. iOS 14.5 broke that. The pixel simply cannot see most iOS conversions past a few days, so Meta removed the 28-day option to prevent advertisers from optimising on a statistic that no longer reflects reality.

The practical impact for healthcare: any historical benchmark you have from 2021 that was measured on 28-day-click is not comparable to what you can measure today on 7-day-click. If your CPL looks 25% worse than "the number we used to get", the answer might be attribution mechanics, not performance decay.

When to use 1-day-click

1-day-click is the tight optimisation window. It only counts conversions that happen within 24 hours of an ad click. Use it when three conditions line up.

First, when the purchase intent is same-day. IVF free consultation, dental emergency, dermatology urgent enquiry — these are decisions patients make in one sitting. If they didn't enquire in 24 hours, they probably won't.

Second, when your ad spend is high enough that Meta's optimisation algorithm has enough same-day signal to train on. Our rule of thumb: 30+ conversions per ad-set per week is the floor for 1-day-click to work well. Below that, the signal is too sparse and Meta reverts to broad targeting.

Third, when you are trying to expose creative fatigue. 1-day-click penalises fatigued creative faster than 7-day-click does, because the "long tail" of delayed conversions that props up a fading ad disappears. If you want to know which creative is actually working this week, 1-day-click is the truth.

Warning: switching an existing account from 7-day to 1-day mid-scale will cause a temporary 10-25% CPL jump in Ads Manager reporting, without any change in real performance. Warn stakeholders before you flip the switch, or you will spend two weeks defending a decision that was correct.

When to use 7-day-click

7-day-click is the wider optimisation window and it is the right default for two categories of Indian healthcare brand.

Category one: high-consideration services with a research cycle of 3-7 days. Dental aligners (typical CPL ₹1,800), hair transplant, IVF ICSI-with-donor, cosmetic surgery, oncology second opinion. Patients see your ad, save it, read reviews for a week, then enquire. If you optimise on 1-day-click, Meta will conclude those ads are not working and stop showing them — even though they are the ads that eventually convert.

Category two: accounts under ₹3 lakh/month spend. Below that budget threshold, most ad-sets do not accumulate enough same-day conversions per week to train Meta's algorithm on 1-day-click. 7-day-click gives Meta enough training signal to keep optimising instead of falling back to broad targeting.

In our portfolio, dental aligners, hair transplant and IVF donor-cycle campaigns all run on 7-day-click by default. Primary-care dental cleanings, dermatology urgent, and IVF standard cycles run on 1-day-click. The specialty picks the window, not agency preference.

View-through attribution — read carefully

View-through (the "1-day-view" part of Meta's default) counts conversions from people who saw your ad but did not click, then converted within 24 hours through some other path. The theory is that ad exposure creates awareness even without a click.

The practice in Indian healthcare is that view-through inflates reported conversions by 8-15% on most accounts without adding any real optimisation signal. Meta's algorithm cannot reliably tie a view-only impression to a subsequent conversion because iOS ATT and DPDP consent both restrict the identifiers needed to make that link stick.

Our default recommendation for healthcare accounts under ₹10 lakh/month: turn view-through off. Use 1-day-click or 7-day-click without a view component. Your CPL number in Ads Manager will get closer to what your CRM sees, and every remaining reported conversion will be one Meta can actually train the algorithm on. For accounts above ₹10 lakh/month with strong brand recall, view-through can be re-enabled — but always as a secondary metric, never as the number you optimise on.

The Digital Personal Data Protection Act, 2023 layered a consent gate on top of everything the pixel already lost to iOS ATT. In practical terms, if your consent banner is compliant (denied-by-default, granular purposes, no pre-ticked boxes), you will see roughly 20-40% fewer pixel-fired conversions than a non-compliant pre-DPDP setup.

What changes for attribution windows: narrower windows amplify consent loss because they have less time to catch consented conversions. If your consent flow only prompts users 3-7 days after their first visit (common on healthcare content sites), 1-day-click will look dramatically worse than 7-day-click. This is not a real performance difference — it is an artefact of when consent gets granted.

The fix is server-side. When you run ICG Beacon and Conversions API with a consent-aware flow, you recover 30-50% of the lost attribution regardless of window choice. Once server-side is stable, the window choice becomes a pure optimisation call again instead of a consent-recovery workaround.

How specialty affects window choice

The specialty-by-specialty defaults we run on the 23+ accounts inside Meta Catalyst IQ:

  • IVF (standard cycle, consultation lead): 1-day-click, no view. Same-day intent, CPL benchmark ₹632, high enough weekly conversion volume per ad-set for tight-window training.
  • IVF (donor / ICSI / research-heavy): 7-day-click, no view. Longer consideration cycle, prospects compare 3-5 clinics before enquiring.
  • Dermatology (primary, aesthetic): 1-day-click, no view. Fast intent, CPL benchmark ₹520-1,180.
  • Dental primary (cleaning, filling, RCT): 1-day-click, no view. Urgent same-day, CPL benchmark ₹620.
  • Dental aligners: 7-day-click, no view. Research-heavy, CPL benchmark ₹1,800.
  • Hair transplant: 7-day-click, no view. Multi-week research cycle.
  • Aesthetic (botox, filler, laser): 1-day-click, no view. CPL benchmark ₹400-900.
  • Hospital cardiac, ortho, oncology: 7-day-click, no view. Multi-consultation decision, CPL benchmark ₹3,200 (cardiac), ₹1,400 (ortho).

These are starting points, not commandments. If your account has genuinely unusual behaviour in your CRM (e.g. dental aligner customers converting mostly within 48 hours because of a lifestyle-financing offer), override the specialty default and pick the window that matches your observed CRM cycle.

Attribution vs actual — reconciling with your CRM

Whatever window you choose, the reconciliation exercise stays the same. Every fortnight, pull Meta's attributed leads (whichever window) and your CRM's Meta-sourced leads (by UTM) side by side. Divide CRM leads by Meta leads to get your "credibility ratio". Anything between 0.6 and 0.9 is healthy — Meta always over-attributes a bit. Below 0.5 and Meta is claiming credit for leads that never showed up in your CRM (usually a UTM discipline problem). Above 1.1 and Meta is under-counting (usually a pixel/CAPI signal-loss problem).

On our portfolio the healthy ratio band is 0.7-0.85 for 1-day-click accounts and 0.55-0.75 for 7-day-click accounts. Once you know your ratio, you can convert any Meta-reported CPL into "CRM-equivalent CPL" and compare across accounts, months and window choices without getting confused.

FAQ

Can I use different attribution windows for different campaigns in the same account?

Yes, and you should. Set the window at the ad-set level. IVF donor-cycle ad-sets can run 7-day-click while IVF standard-cycle ad-sets run 1-day-click in the same account.

Does changing the attribution window change historical data?

No. It only changes how future conversions are counted and how the optimisation algorithm learns going forward. Historical reports keep the window that was active at the time.

Will Meta ever bring back the 28-day-click window?

Unlikely. Meta removed it because iOS ATT made it structurally unreliable, and that constraint has only tightened. Do not plan around its return.

Should I optimise on view-through conversions?

No. Use view-through only as a secondary reporting metric, and only for accounts above ₹10 lakh/month with strong brand recall. Never as the optimisation signal.

How long should I run a new attribution window before judging results?

Minimum 14 days, ideally 28 days. Meta's algorithm re-learns for 7-10 days after any window change, and CPL numbers during the re-learning phase are noise, not signal.

Does the ASCI Code affect attribution reporting?

Not directly. The ASCI Guidelines (2022) govern advertising claims content, not attribution methodology. But claims like "X% cheaper than competitor" that reference CPL numbers need to be substantiable — pick your window carefully if you plan to reference the number publicly.

Does Beacon change which window I should use?

Beacon does not force a window choice. It recovers signal so the window you choose reflects real performance instead of consent-loss artefacts. Most accounts on Beacon can safely move from 7-day to 1-day within 90 days as pipeline data cleans up.

Powered by Meta Catalyst IQ — the decision engine behind every Meta ad ICG runs

ICG built Meta Catalyst IQ because most Indian healthcare brands running Meta ads waste 30-50% of budget without knowing it. It's the diagnosis + decision layer above Ads Manager — Hygiene Factors 12-point checklist, Naming Intelligence (surfaces conflicts costing ₹50K-₹2L/account/month), Creative Scoring Matrix (Core Performer / Scalable / Getting Started / Review), 2-Day Comparative, SLC Framework, Money Wastage column in ₹.

Meta Catalyst IQ Creative Scoring Matrix — every ad classified into Core Performer, Scalable, Getting Started, or Review with recommended action
Meta Catalyst IQ · Creative Scoring Matrix4 zones: Core Performer (scale), Scalable (test scaling), Getting Started (let it learn), Review (kill or fix). Each ad scored across Hook / Hold / CTR / CPL / Result Rate.
Meta Catalyst IQ SLC Framework — ad-level period-over-period across Service / Location / Format / Content / Details dimensions
Meta Catalyst IQ · SLC FrameworkEvery ad classified across Service / Location / Format / Content / Details. Current window vs previous — colour-coded delta on Spend, Results, CPL, CPM, CTR, Hook rate, Hold rate, Result rate.
Meta Catalyst IQ Naming Intelligence — detected naming schema with findability score, name conflicts, lead-source rollup by ad set name
Meta Catalyst IQ · Naming IntelligenceDetected schema (e.g. {service}_{type}). Findability % (35% = 65% of ad sets named inconsistently). 10 name conflicts surfaced for resolution. Lead-source rollup by ad set name shows which sources are converting.
Meta Catalyst IQ 2-Day Comparative — colour-coded day-on-day deltas across critical / scaling / opportunity dimensions per ad set
Meta Catalyst IQ · 2-Day ComparativeEach ad set tracked across 4 KPIs (newest → oldest), colour-coded green (improved) / red (worsened). Cost / creative / frequency / scaling / waste engine + Meta delivery flags. Updated daily.
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  • Portfolio benchmarks — IVF ₹632, derm ₹520-1,180, dental ₹620-1,800, aesthetic ₹400-900, hospital cardiac ₹3,200.

Included free with every ICG Meta ads or Performance Marketing engagement (Starter ₹20,000/-/month tier and above). Not sold standalone. Book a free 48-hour Meta ad diagnostic or WhatsApp us.

Meta Catalyst IQ Master Dashboard — cross-client portfolio rollup: 23 clients, ₹9.14Cr spend, 5,784 leads, blended CPL ₹1,581, CAC ₹86,253
Meta Catalyst IQ · Master DashboardCross-client view: 23 clients × ₹9.14Cr Meta spend × 5,784 leads × 106 converted = ₹1,581 blended CPL, ₹86,253 blended CAC, 52.7% link rate. By-industry rollup: IVF (11 clients, ₹2.6Cr spend, ₹632 CPL), Dermatology, Hair Transplant, Skin, etc.

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Standalone from ₹4,999/- per specialty vertical, or bundled free inside HealthApex OS (₹14,999/- flat, 9 tools). Book a 30-min PrismSpy walkthrough on WhatsApp.

angryturtle/01-listing-overview.png" alt="Angryturtle Listing Overview — GBP watchlist with per-listing status, category, sub-scores, action count for 143+ managed Indian healthcare listings" loading="lazy" decoding="async" style="width:100%;height:auto;display:block;">
Angryturtle · Listing OverviewEvery GBP under management surfaces in one watchlist — status · category · sub-scores · action count · trend. 143+ Indian healthcare listings managed on Angryturtle.
PrismSpy Inspirations swipe file — 4,697 ad inspirations catalogued by hook, positioning, services, problems, benefits, language, format
PrismSpy · Inspirations Swipe FileHook line, positioning angle, services covered, problems targeted, benefits highlighted. Filter by language (English / Hindi / regional), format (Image / Video / Carousel), problem, and benefit.
PrismSpy Service Cluster — 419 distinct services tracked, best-performing services scored 1-10, where offers concentrate, service leaderboard
PrismSpy · Service Cluster419 distinct services tracked across the watchlist. Best-performing services (scored 1-10), where offers concentrate, service leaderboard with brand count, ad volume, active %, avg score, avg run days, offer %, trend Δ.
PrismSpy Offers Intelligence — 1,197 offers tracked, 858 active, discount intensity by brand, offer mix by service, value tier distribution
PrismSpy · Offers Intelligence1,197 offers tracked, 858 currently active, 769 new this week. Discount intensity by brand, offers by service (IVF, Hair Transplant, etc.), value tier distribution (Free / Under ₹999 / ₹1K-5K / ₹10K+).
PrismSpy Comparative Insights — Highest Quality ads, Longest-Running creatives, Top-Scoring ads, Most Common Hooks, Emerging Offers
PrismSpy · Comparative InsightsHighest-quality ads (clinical accuracy + production value), longest-running creatives (proven converters), most common hooks in your specialty, and emerging offer bundles surfacing across the watchlist.
PrismSpy Intelligence Dashboard — competitor watchlist, Category Pulse, Top Spenders across 75+ tracked Indian healthcare brands
PrismSpy · Intelligence Dashboard75 brands watched · 873 new ads this week · 2,152 killed · 251 offers in market. Category Pulse shows format mix; Top Spenders + Most Active rank by ad investment and creative volume.

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Abhash Kumar — Leader, ICG

Abhash Kumar

Strategy & Analytics Lead & Director

IIT BHU · IIM Bangalore

Abhash built Beacon because most agencies couldn't answer one question: "Which of my campaigns generated that consultation?" He decided the problem was solvable in code. It was.

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Deep Das — Leader, ICG

Deep Das

Technology & AI Lead & Director

IIT BHU

Deep built the 4-Bot patient lifecycle system after watching a client lose 60+ qualified leads in one week to a 6-hour WhatsApp response window. He decided the problem was solvable in code. It was.

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