Retargeting for Startups: What Works, What It Really Adds, and What It Costs You
By Saroj Jha · October 4, 2026 · 10 min read
Retargeting adds a real but modest lift, and dashboards can credit it with far more because many visitors would have come back anyway. Keep it a small, capped share of spend, act within days of the visit, and prove what it adds with a holdout.
In three numbers
- 4.6% lift in baseline conversions from retargeting, across more than 2,000 advertisers in one industry-wide experiment[1]
- 5% median purchase-stage lift in 663 Facebook ad experiments; two methods without a control group estimated 24% and 64%[2]
- 33% of the first week’s retargeting effect came on day one, in a field experiment at an online home-improvement seller[3]
Retargeting shows ads to people who have already visited your site. It looks like the most efficient ad spend a startup has: low cost per conversion, high return on paper. That is exactly why it deserves scrutiny.
Below are the five steps I would work through with a founder before putting more money into it. One example company runs through all of them.
Running case: Example Co. Fictional
Example Co. is a seed-stage B2B SaaS startup whose software automates the month-end close for finance teams at companies with 50 to 500 employees. Its site gets about 4,000 visitors a month, mostly controllers reading its blog about closing the books; a smaller number visit the pricing and demo pages. A customer is worth about $18,000 a year and the sales cycle is about 45 days. Its retargeting dashboard reports a high return, and the founders want to double the budget. Example Co. and all its numbers are illustrative.
Step 1: Know what retargeting really adds
Retargeting works, but less than platform dashboards suggest. Randomized experiments, which compare people who could see the ads with similar people who could not, find real effects:
- An online retailer’s display retargeting campaign “lifted website visits by 17.2% and purchases by 10.5%”[4].
- At an online home-improvement retailer, retargeting caused 14.6% more users to return to the website within four weeks[3].
- A working paper covering more than 2,000 advertisers found retargeting lifted advertisers’ baseline conversions by 4.6%[1].
So retargeting helps. The question is whether it helps as much as you are paying for.
Lift over a randomly held-out group that could not see the ads
- Website visitsAn online retailer’s display retargeting campaign +17.2% Visits
- Return visits within four weeksAn online seller of home-improvement products +14.6% Visits
- PurchasesThe same online retailer’s campaign +10.5% Conversions
- Conversions over baselineMore than 2,000 advertisers, one industry-wide experiment +4.6% Conversions
Each study measured a different outcome, so read the direction, not a league table: real lifts, and modest ones. Step 2 shows why a dashboard can credit retargeting with more.
Show the numbers as a table| Study | Setting | Outcome | Lift |
|---|---|---|---|
| Johnson, Lewis and Nubbemeyer (2017) | Online retailer, display retargeting | Website visits | +17.2% |
| Johnson, Lewis and Nubbemeyer (2017) | Online retailer, display retargeting | Purchases | +10.5% |
| Sahni, Narayanan and Kalyanam (2019) | Online seller of home-improvement products | Users returning within four weeks | +14.6% |
| Kobayashi, Johnson and Gu (2024) | More than 2,000 advertisers | Baseline conversions | +4.6% |
Johnson, Lewis and Nubbemeyer (2017); Sahni, Narayanan and Kalyanam (2019); Kobayashi, Johnson and Gu (2024), working paper. The privacy-enhanced retargeting that working paper also tested, Google’s Protected Audience, was retired in October 2025. Bars drawn to scale.
Example Co., step 1 Fictional
The team resets its expectations. It expects retargeting to add a modest number of demo requests from people who already know the product, not the large return its dashboard shows.
Do this
Write down the lift you would need to see for retargeting to pay for itself, before you look at any dashboard.
Step 2: Don’t trust the dashboard; set up a holdout
Platforms overstate retargeting because the people you retarget were already interested. Many would have returned and bought without an ad, but attribution credits the ad anyway. A study of 663 advertising experiments on Facebook found that for lower-funnel outcomes such as purchases, the median lift in the experiments was 5%, while the two non-experimental methods it tested put the median at 24% and 64%[2]. Retargeting is likely the extreme case, because its audience is the most likely to convert anyway.
Median lift in purchase-stage outcomes across 663 advertising experiments at Facebook
- Randomized experiments The benchmark: a random group sees no ads
- Machine learning on observational data Double/debiased machine learning
- Matching on observational data Stratified propensity score matching
The same at every stage. For page views and similar early outcomes, the experiments found a median lift of 29%; the two methods, 83% and 173%. For mid-funnel outcomes such as adding to a cart: 18%, against 58% and 176%.
Show the numbers as a table| Method | Upper funnel | Middle | Lower |
|---|---|---|---|
| Randomized experiments | 29% | 18% | 5% |
| Machine learning (DML) | 83% | 58% | 24% |
| Matching (SPSM) | 173% | 176% | 64% |
Gordon, Moakler and Zettelmeyer (2023), Marketing Science; medians as reported in the paper’s abstract. Purchase stage (lower funnel) covers purchase, app activation and registration events. The study covers ad campaigns in general, not retargeting alone. Columns drawn to scale.
The fix is to measure with a holdout: keep a random share of visitors out of retargeting and compare. My post on incrementality testing for startups shows how.
Example Co., step 2 Fictional
The dashboard credits retargeting with 40 demo requests a month. The team keeps a random 20% of visitors out of retargeting. After two months, visitors who could see the ads request 2.4 demos per 100 and held-out visitors 2.0 per 100. On about 3,200 exposed visitors a month, that gap suggests about 13 extra demo requests a month, not 40. With only 1,600 held-out visitors so far, though, the 95% range runs from about −12 to +38 (Figure 3), so the holdout keeps running. All numbers are fictional.
Example Co.’s holdout design Fictional
About 4,000 site visitors a month Each assigned at random on the first visitRandom 80%
Can see retargeting ads
About 3,200 a month
2.4 demo requests per 100
Random 20%
Held out: no retargeting ads
About 800 a month
2.0 demo requests per 100
What the holdout shows retargeting adds
About 13
extra demos a month: 0.4 per 100 × 3,200 visitors
What the dashboard credits
demos a month from everyone who saw an ad, including people who would have come back anyway
After two months: extra demo requests a month that retargeting adds
Best estimate: about 13 −12 +38 −20 −10 0 10 20 30 40 50 No effect Dashboard credits 40The 95% range runs from about −12 to +38 a month. It includes zero, so chance could still explain the gap. If the two rates held, about eight months of data at this split would rule zero out.
Show the numbers as a table| Fictional measure | Value |
|---|---|
| Visitors who could see ads, two months | 6,400 |
| Their demo requests per 100 | 2.4 |
| Held-out visitors, two months | 1,600 |
| Their demo requests per 100 | 2.0 |
| Extra demos a month, best estimate | About 13 |
| Extra demos a month, 95% range | About −12 to +38 |
| Demos a month the dashboard credits |
Fictional numbers from the running case. The range is my arithmetic: a 95% interval for the difference between two proportions (6,400 exposed and 1,600 held-out visitors over two months), times 3,200 visitors a month.
Do this
Turn on a random holdout before you change the retargeting budget, and leave it running for at least one full sales cycle.
Free tool
Check whether your holdout gap is bigger than chance
The free A/B Test Significance Calculator reads a holdout like any two-group test, and its sample-size planner shows how long the holdout needs to run before the gap means something.
Check your holdoutStep 3: Keep it small, and spend most on reaching new people
A 2026 geography-based field experiment for a bed-in-a-box mattress brand, run on Google and Facebook, found “large and consistent returns on prospecting ads across both ad networks, while retargeting ads yield significantly lower returns”[5]. It is a single brand, but it matches the logic: retargeting can only reach people you have already reached. In B2B, John Dawes of the Ehrenberg-Bass Institute estimates that if firms switch providers about every five years, only about 5% of buyers are in the market in a given quarter[6], and many of them may not have visited your site yet.
In practice, treat retargeting as a small, capped line in the budget that grows only when a holdout test shows it pays.
Target market Finance teams at companies with 50 to 500 employees
Reached by prospecting Ads, content and outreach
Visited the website About 4,000 a month
Retargeting audience Visitors from the last 14 days, minus customers and open deals
Prospecting can reach every ring; retargeting only the innermost one.
B2B buyers in market in a given quarter
About 5 in 100 are in market The other 95 are not, yet
An estimate that assumes firms switch providers about every five years; its author says it is not a precise rule. Many of the five may never have visited your site.
One brand’s geo experiment: on both Google and Facebook, prospecting ads returned more than retargeting ads.
Rings not to scale; Example Co. and its numbers are fictional. Dawes (2021), Ehrenberg-Bass Institute. Larson and Dotson (2026), a bed-in-a-box mattress brand.
Example Co., step 3 Fictional
Instead of doubling retargeting, the team caps it at 15% of paid spend and puts the rest into reaching finance leaders at its named accounts who have not visited yet. The cap rises only if the holdout keeps showing extra demos. The 15% is a fictional choice, not a benchmark.
Do this
Set a cap for retargeting as a share of paid spend, and write down what holdout result would justify raising it.
Step 4: Match the message to the visit, and act within days
Show a useful next step, not a copy of the page they left. A field experiment with an online travel company found that dynamic retargeted ads, which show the exact product a person viewed, were “on average, less effective than their generic equivalents”. They stopped underperforming once people’s browsing suggested their preferences had formed, for example after visiting review sites[7].
For startups, that suggests:
- Early visitors (blog readers, first visits): a helpful guide, a case for the category, or social proof.
- Late visitors (pricing page, demo page, trial sign-up): the specific offer, a comparison, or an answer to a common objection.
In B2B, retargeting on LinkedIn lets you reach visitors from target companies with content for their stage, once a website audience reaches LinkedIn’s minimum of 300 members[8]. The LinkedIn ads post covers the setup.
Timing matters as much as the message. In the home-improvement experiment, 33% of the first week’s advertising effect happened on the first day[3]. The value of retargeting fades fast after a visit. I found no recent peer-reviewed study that sets an ideal frequency cap, so the rest is practice: prioritize visitors from the last few days, cap how often each person sees your ads, exclude customers and people who converted, and end retargeting after a set window. On Google, any policy-compliant account can use a customer list for exclusions; targeting one takes 90 days of account history and more than USD 50,000 of lifetime spend[9].
Example Co., step 4 Fictional
Blog readers see the month-end close checklist for controllers, not a demo request. Pricing and demo visitors see a comparison with closing the books in spreadsheets, plus answers to common IT and security questions. Both audiences exclude customers and open deals, and each person drops out after 14 days. These choices are fictional.
Early visitors Blog readers, first visits
Sponsored
The month-end close checklist for controllers
Get the checklist
The offer: a helpful next step, not a demo request.
Late visitors Pricing, demo and trial pages
Sponsored
Closing the books in spreadsheets, compared with Example Co.
Plus answers for IT and security reviews
See the comparison
The offer: the specific comparison, and answers to common objections.
Why not show the exact page they left? In one field experiment, ads showing the exact product a person viewed did worse than generic ads on average, until browsing suggested their preferences had formed.
How the first week’s effect was spread, in one retargeting field experiment
33% Day one 67% Days two to sevenExample Co.’s rules Fictional
- Customers and open deals excluded
- Each person drops out after 14 days
- A cap on ads per person
| Share of the first week’s retargeting effect | Value |
|---|---|
| Day one | 33% |
| Days two to seven | 67% |
Lambrecht and Tucker (2013), an online travel firm; Sahni, Narayanan and Kalyanam (2019), an online seller of home-improvement products. The ads are illustrations of Example Co.’s, which is fictional. Day bar drawn to scale.
Do this
Split your retargeting into at least two audiences by the pages people visited, and give each its own message and a time limit.
Step 5: Check cookies and consent before you launch
The cookie picture has settled for now. Safari has blocked cross-site cookies by default since 2020[10], and Firefox on desktop has kept each site’s cookies in a separate jar by default since 2022[11]. Google changed course on Chrome: in July 2024 it said it would not deprecate third-party cookies; in April 2025 it said it would not roll out a standalone cookie prompt; and in October 2025 it said it would keep its current approach and retire ten Privacy Sandbox technologies[12]. Chrome still allows third-party cookies by default; its Incognito mode blocks them[13].
What the platforms’ own announcements show
Here is what the companies said in their own announcements and filings. It shows what they said, not how they made their choices.
Apple. Its WebKit team announced in March 2020: “Cookies for cross-site resources are now blocked by default across the board”[10]. Its App Tracking Transparency rules name retargeting directly. Among its examples of tracking: “Sharing a list of emails, advertising IDs, or other IDs with a third-party advertising network that uses that information to retarget those users in other developers’ apps or to find similar users”[14].
Meta. Its 10-K for 2021 described the effect from the ad platform’s side: “Apple previously released an update to its Safari browser that limits the use of third-party cookies, which reduces our ability to provide the most relevant ads to our users and impacts monetization, and also released changes to iOS that limit our ability to target and measure ads effectively”[15].
Google. In July 2024 it wrote: “Instead of deprecating third-party cookies, we would introduce a new experience in Chrome that lets people make an informed choice that applies across their web browsing, and they’d be able to adjust that choice at any time”[16]. In April 2025 it went further: “we’ve made the decision to maintain our current approach to offering users third-party cookie choice in Chrome, and will not be rolling out a new standalone prompt for third-party cookies”[13]. In October 2025 it announced it would retire ten Privacy Sandbox technologies, including Topics, Protected Audience and the Attribution Reporting API[12].
- Mar 2020
Apple, WebKit
Safari blocks cross-site cookies by default
“Cookies for cross-site resources are now blocked by default across the board.”
- 2021
Apple
Apps need the user’s permission to track, from iOS 14.5
Apple counts sharing a list of emails or IDs with an ad network that retargets those users as tracking.
- 2022
Meta, annual report for 2021
Apple’s changes limit Meta’s ad targeting and measurement
Safari’s cookie limits reduce “our ability to provide the most relevant ads to our users”.
- Jun 2022
Mozilla
Firefox gives every website its own cookie jar, by default
Total Cookie Protection on by default for all Firefox desktop users worldwide.
- Jul 2024
Google
A user choice instead of deprecating third-party cookies
Proposed a new experience in Chrome to let people make an informed choice.
- Apr 2025
Google
Current approach kept; no standalone cookie prompt
“maintain our current approach to offering users third-party cookie choice in Chrome”
- Oct 2025
Google
Ten Privacy Sandbox technologies retired
Including Topics, Protected Audience and the Attribution Reporting API.
Where the three browsers stand, October 2026
- Safari Blocked by default — Cross-site cookies blocked since March 2020
- Firefox Blocked by default — Each website keeps its own cookie jar
- Chrome Allowed by default — Users can block them in settings; Incognito blocks them
WebKit, 24 March 2020; Apple Developer, User Privacy and Data Use; Meta’s Form 10-K for 2021; Mozilla, 14 June 2022; Google Privacy Sandbox blog, 22 July 2024, 22 April 2025 and 17 October 2025. Quotes verbatim; spacing not to scale. What the announcements and filings say, not how the companies decided.
Most startup retargeting now runs inside the big platforms (Google, Meta, LinkedIn), using their own tags and server-side connections such as Meta’s Conversions API. The Meta ads post covers that setup.
Retargeting depends on tracking, so consent rules apply. This is orientation, not legal advice.
- European Union. The European Data Protection Board says tracking pixels and tracking information added to links fall under the ePrivacy consent rule, so they need consent unless an exemption applies[17].
- California. Consumers can opt out of the “sharing” of their data for cross-context behavioral advertising, and businesses covered by the CCPA must honor opt-out signals such as Global Privacy Control[18].
Set up your consent tool before you launch retargeting, and connect it to your ad tags. Google’s tags enforce this in the European Economic Area: a visitor reaches remarketing only after granting both the ad_user_data and ad_personalization signals[19].
Example Co., step 5 Fictional
Before launch, the team connects its consent tool to every ad tag, honors Global Privacy Control, excludes customers and open deals, sets the 20% holdout, the 14-day window and a per-person frequency cap, and caps retargeting at 15% of paid spend. These values are fictional.
- Check Why Example Co. Fictional
- Consent tool connected to every ad tag EU: tracking pixels and tracked links need consent unless an exemption applies. On Google’s tags, EEA visitors must grant both ad consent signals before remarketing. Connected before launch
- Opt-out signals honored California: treat Global Privacy Control as a request to opt out of sharing. Global Privacy Control honored
- Customers and open deals excluded Stop paying to reach people who already bought. Any policy-compliant Google account can exclude a customer list. Excluded on every platform
- Holdout group set The only way to see what retargeting adds (Step 2). A random 20% of visitors
- Window and frequency cap set Much of the effect comes in the first days (Step 4). 14 days and a per-person cap
- Budget capped It grows only when the holdout shows it pays (Step 3). 15% of paid spend
All six done: the first ad goes live. Run the list again for each new ad platform.
Orientation, not legal advice. Sources: EDPB Guidelines 2/2023; Google Ads Help (consent settings; Customer Match policy); California Privacy Protection Agency. Example Co.’s values are fictional.
Do this
Run through the six checks above before the first ad goes live, and again whenever you add a new ad platform.
What changes by stage?
- Pre-seed — Usually skip it: too few visitors to matter. Google won’t serve ads to a list with fewer than 100 active visitors in the past 30 days[20]. Spend on reaching new people.
- Seed — A small, capped retargeting budget for high-intent pages (pricing, demo), with a holdout group from the start.
- Series A–B — Segment by stage of interest, refresh creative often, and set the budget from holdout results, not attributed return.
What mistakes should I avoid?
- Judging retargeting by attributed return. It looks best exactly where it adds least.
- Retargeting forever. A large share of the effect comes in the first days.
- Showing the same product again and again. Offer the next step instead.
- Forgetting to exclude customers. You pay to advertise to people who already bought.
- Skipping consent. Tracking without the consent or opt-out handling the law requires creates legal risk.
Related on AAJ
Articles
- Incrementality Testing for Startups: Prove Your Ads Actually Work (2026 Guide)Design and read the holdout from Step 2, for retargeting and every other channel.13 min read
- Tracking Setup for Startups: GA4, UTMs and Events Done RightSet up the tags, events and consent signals Step 5 depends on.13 min read
- Privacy and Advertising Rules for Startup Marketers: What to Check Before You LaunchThe consent and opt-out rules behind Step 5, in more depth.13 min read
- Demand Creation vs. Demand Capture: What Each Does and How to RebalanceWhy most of the budget in Step 3 goes to reaching people who have not visited yet.10 min read
Playbooks
- Digital Advertising PlaybookPlan and run campaigns across Google, Meta and LinkedIn, with retargeting as one line among several.
- Paid Media Budget Allocation Playbook (2026)Set the cap on retargeting against your other channels.
- B2B Analytics and Attribution Playbook: 90-Day FrameworkBuild the measurement that tells attributed return from what ads really add.
Templates and tools
- A/B Test Significance CalculatorCheck whether a holdout gap is bigger than chance, and how long the test needs.Free tool
- Paid Media Budget AllocatorSize retargeting against prospecting and your other channels.Free tool
- Paid Audience Spec BuilderCheck each retargeting audience clears the platform’s minimum before you launch.Free template
- Marketing Compliance ChecklistCheck consent, opt-outs and the other rules before a campaign goes live.Free template
References
The superscript numbers in the article match this list.
Platform help pages, policies and announcements were checked on 14 October 2026.
- Kobayashi, S. J., Johnson, G. A. and Gu, Z. (2024). “Privacy-Enhanced versus Traditional Retargeting: Ad Effectiveness in an Industry-Wide Field Experiment.” Working paper, SSRN 4972368; also NET Institute Working Paper 24-06. ssrn.com
- Gordon, B. R., Moakler, R. and Zettelmeyer, F. (2023). “Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement.” Marketing Science, 42(4), 768–793. doi:10.1287/mksc.2022.1413
- Sahni, N. S., Narayanan, S. and Kalyanam, K. (2019). “An Experimental Investigation of the Effects of Retargeted Advertising: The Role of Frequency and Timing.” Journal of Marketing Research, 56(3), 401–418. doi:10.1177/0022243718813987
- Johnson, G. A., Lewis, R. A. and Nubbemeyer, E. I. (2017). “Ghost Ads: Improving the Economics of Measuring Online Ad Effectiveness.” Journal of Marketing Research, 54(6), 867–884. doi:10.1509/jmr.15.0297
- Larson, J. S. and Dotson, J. P. (2026). “Prospecting Versus Retargeting: Insights from a Geography-Based Field Experiment.” Journal of Interactive Marketing, 61(3), 257–274; published online 27 January 2026. doi:10.1177/10949968261422740
- Dawes, J. (2021). “Advertising effectiveness and the 95-5 rule: most B2B buyers are not in the market right now.” Ehrenberg-Bass Institute, B2B report series, May 2021. marketingscience.info
- Lambrecht, A. and Tucker, C. (2013). “When Does Retargeting Work? Information Specificity in Online Advertising.” Journal of Marketing Research, 50(5), 561–576. doi:10.1509/jmr.11.0503
- LinkedIn Marketing API documentation. “Website Visitors Retargeting”, updated 17 August 2026: a segment needs at least 300 members before a campaign can use it. Microsoft Learn. learn.microsoft.com
- Google Ads Help. “Customer Match policy”: all policy-compliant advertisers can use customer lists for exclusions; targeting needs 90 days of history and more than USD 50,000 of lifetime spend. support.google.com
- WebKit (2020). “Full Third-Party Cookie Blocking and More.” 24 March 2020. webkit.org
- Mozilla (2022). “Firefox rolls out Total Cookie Protection by default to more users worldwide.” The Mozilla Blog, 14 June 2022. blog.mozilla.org
- Google Privacy Sandbox (2025). “Update on plans for Privacy Sandbox technologies.” 17 October 2025. privacysandbox.google.com
- Google Privacy Sandbox (2025). “Next steps for Privacy Sandbox and tracking protections in Chrome.” 22 April 2025. privacysandbox.google.com
- Apple. “User Privacy and Data Use.” Apple Developer. developer.apple.com
- Meta Platforms, Inc. Annual report on Form 10-K for the fiscal year ended 31 December 2021. US Securities and Exchange Commission. sec.gov
- Google Privacy Sandbox (2024). “A new path for Privacy Sandbox on the web.” 22 July 2024. privacysandbox.google.com
- European Data Protection Board (2024). Guidelines 2/2023 on the technical scope of Art. 5(3) of the ePrivacy Directive, version 2.0, adopted 7 October 2024. edpb.europa.eu
- California Privacy Protection Agency. Frequently asked questions. cppa.ca.gov
- Google Ads Help. “Set up and manage consent”: for users in the European Economic Area, both ad_user_data and ad_personalization must be granted for personalized advertising, and remarketing gets no data when ad_personalization is denied. support.google.com
- Google Ads Help. “About your data segment compatibility”: at least 100 active visitors or users in the last 30 days to serve on Search, YouTube and Display. support.google.com
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