Quick answer: Two offers in the same vertical are not the same offer. Advertisers in one category want different customers, and their funnels make different promises and deliver different experiences. The most common killer of traffic that should convert is a promise mismatch between what the creative says and what the destination delivers.
Before you kill a dead offer, check in this order: your creative, your landing page, the advertiser's landing page, the full funnel, and your ad platform targeting. Then ask your affiliate manager whether tracking is clean and whether other affiliates are converting.
You found an offer that looks like the ones you already run. Same vertical, similar payout, a conversion rate that should be in range. You send the traffic that works everywhere else, and it goes nowhere.
The instinct is to blame the traffic or the offer. Often it is neither. It is the distance between what your creative promised and what the user found after the click.
I manage affiliate relationships on the Aragon Premium network. This is the order I work through when a publisher tells me a proven campaign died on a new offer, before anyone kills anything.
Why doesn't an angle that wins on one offer transfer to a competing offer in the same vertical?
Because the offers are not apples to apples. Payout and conversion rate are the two columns on the offer page, and they are the least informative part of the comparison.
Take home equity and auto insurance. Both are crowded verticals with many advertisers. Look closely at either one and the brands want measurably different customers.
Sometimes the advertiser tells us exactly who. A credit score range. An employment status. A number of vehicles owned. Those criteria decide who converts on the advertiser's side and who gets turned away, and they differ from one brand to the next.
Beyond the stated criteria there is a softer difference in brand value. Two brands can sell a similar product and still be valued differently by the same person. A creative that leans on one brand's reputation or positioning borrows from that brand specifically. Swapping the logo does not move it to a competitor.
This is where copy-and-paste campaigns fail. The affiliate sees a proven angle and assumes the vertical is the variable. Often the vertical is the constant. The advertiser's target customer, brand and funnel are what change, and a campaign that never asked about them is guessing.
Our network data shows how wide the gap can get. Across the offers in a single category on our network carrying meaningful click volume over the last two months, conversion rate ranged from a fraction of a percent to above fifty percent. Same category, same broad traffic profile, order-of-magnitude different outcomes.
That range covers a mixed set of offers and payout models. It is not a controlled comparison, and it should not be read as a benchmark for any one offer type. I use it as corroboration only. It says the category does not set the result. It does not say what does, and the evidence for that comes from the research and the audits below.
What happens when an advertiser asks for "the same traffic that worked for" a competitor?
We hear a version of this from advertisers regularly. They want the same kind of traffic that worked for a specific competitor. We assume they have done their diligence.
So we set them up with a very similar campaign, sometimes with the same affiliates.
Some of those campaigns fall flat. When they do, the cause usually sits in the landing page, or in the representations the advertiser makes on it. Those turn out to be materially different from the competitor's page. The brand did not notice.
For the affiliate, this is close to a clean test. The traffic, the creative and the placement match a campaign that worked. Only the destination changed. When identical setup and identical affiliates produce a different result, I treat it as a funnel problem until someone shows me otherwise.
What should you compare when you put two destinations side by side? Four things:
- What each page says the user is getting.
- What each page asks the user to do, and in what order.
- What each page asks for before it delivers anything.
- What each page tells the user happens next.
Two pages can share a headline and still differ on every one of those. The advertiser often cannot see the gap, because they built the page for their own customer and never compared it to a competitor's. You can see it, because you are the one sending the traffic to both.
Why is a promise mismatch the biggest campaign killer?
Every step after the click is invisible to the traffic source. You cannot see it in your ad platform. The user sees it, compares it to what you said, and leaves or stays.
The best large-scale evidence I know of is checkout research from Baymard Institute. Baymard's cart and checkout abandonment figures draw on 50 separate studies spanning 2006 to 2025, and the numbers below are current as of its September 2025 update. The average documented abandonment rate is 70.22%.
Baymard also looked at why people leave. Among users who were not simply browsing, the leading stated reasons were:
- Extra costs that were higher than expected – 40%.
- A required account – 18%.
- A lengthy or complicated checkout – 17%.
Every one of those happens after the click. The top one is a promise mismatch in its purest form: the price the user expected and the price the user was charged were different.
There is a limit to this data. Baymard studies ecommerce carts, not lead forms or app installs, so I would not carry the 70.22% figure over to any offer you run. I use it for the mechanism. The largest documented reasons for leaving are surprises, and a surprise is a gap between what was implied and what was delivered.
Message match has direct experimental evidence too. NextAfter ran a documented A/B experiment with Dallas Theological Seminary from July 1 to August 29, 2016, with 239,607 participants. Making the imagery in the ad congruent with the imagery on the landing page moved conversion from 0.49% to 0.73%. That is a 47.6% relative improvement at a 100% confidence level.
Two caveats apply. The test is from 2016, so treat the size of the lift as a signal and not a forecast. It also ran on a nonprofit donation flow, not an affiliate offer. What transfers is the direction: with a sample that large, continuity between the ad and the page was the variable, and it moved conversion by nearly half in relative terms.
Both sources point the same way. What decides the outcome is whether the next screen keeps the promise the last one made.
How do I know if my creative is over-promising or just mismatched?
Be clear and concise about what the creative says. What the product offers should match the offer itself, without ambiguity, so the expectation you set is the expectation that gets fulfilled.
A useful test is to read your creative as a stranger and write down what you believe will happen when you click. Then open the advertiser's page cold and write down what actually happens. If the two lists differ, you have a mismatch, whether or not your creative is technically accurate.
The usual gaps are a different product in the foreground, an audience the advertiser's criteria screen out, more effort than the creative implied, and a cost the creative never mentioned. The last one deserves the most attention. If the user learns the cost on the final step, you have handed them the top documented reason people abandon.
Why did creative that works for category leaders fail on a new rewarded gaming offer?
This is a recent case in the rewarded gaming vertical, and it shows a mismatch that begins before the advertiser's own funnel.
When you open the app store page for the product, nothing on it resembles rewarded gaming. Rewarded gaming is a feature of a larger app in this case, not its main selling point. The store listing sells the app. It does not sell the rewards.
The creative angles that worked for the leading offers in the category did not transfer. A user who clicked on an ad built around the rewarded angle landed on a listing that said nothing like it.
Our team looked closely at the landing funnel and the user experience and found that performance severely lagged expectations. What happens between the click and the conversion is different for every advertiser. That is why you need to understand each funnel before you test the offer.
The store listing is a conversion surface of its own, and the affiliate does not control it. AppTweak's average app store conversion rate by category, published in May 2026 on 2025 US data, shows how much that surface varies. On iOS the average is 8.56%, ranging from 52.8% in Food & Drink down to 5.2% in Games – Trivia. On Google Play the average is 16.15%, ranging from 62.3% in Auto & Vehicles to 6.6% in Games – Strategy.
Those figures measure store page visitors who install, not offer conversions, so they do not predict any campaign. They do show that the listing is a step with enormous category variance. If your creative sends people to a listing that does not reinforce your promise, you depend on a page you did not write and cannot change.
For any app offer, open the store listing before you write the creative. Ask whether a user who saw your ad would recognize the product they are looking at.
What should good creative tell the user to do?
It should tell people exactly what they must do to convert.
If the action is to download an app and deposit money, say so, and say the amount. A user who reads that they need to deposit $20 or $100 to become a customer of a fintech product knows what they are signing up for. A user who is not told finds out at the deposit screen.
A creative that names the action also screens the audience for you. Click volume may fall. The clicks that remain come from people who expect the step that comes next.
One distinction matters here. Incentivized traffic means the user is paid, in cash or virtual currency, for completing the action. Incentivized creative means the creative highlights the benefit a consumer stands to gain by becoming a customer, and nothing is paid just for engaging. Declaring incentivized traffic does not automatically lower payouts.
Clear, benefit-led creative is not a mismatch. It is often the fix. The risk is incentivizing the wrong thing. If the creative rewards the click and not the action that closes for the advertiser, leads do not close and nobody is happy.
How do I dry-run a funnel I am about to send traffic to?
Walk every lead funnel yourself before you send traffic to it. Complete it as a user would, on the device your traffic uses, from the first screen to the final desired action.
Some steps you will not be able to complete. A Social Security number field or a credit card field is the usual stopping point. You have two options.
Ask the advertiser for screenshots. Request the landing page funnel step by step, so you can see the exact steps as they play out. This costs nothing and shows you what the user sees, what is asked, and in what order.
Spend a little money on real traffic. Some of our super affiliates do this routinely. They send a small amount of traffic to the campaign to see how it converts. The purpose is to determine whether there is an opportunity worth testing further, not to commit to the offer.
I cannot give you a universal test budget. Size it so a loss is affordable, run it long enough to see where users drop, and treat the result as a read on behavior, not a verdict on the offer.
The test also produces feedback that flows the other way. Affiliates who have run competitive offers tell us what the conversion rate ought to be, based on that experience. We take that to the advertiser.
What order should I check when an offer is dead?
If a publisher came to me today with a campaign that was not working on an offer they expected to win, this is the order I would use. The first five steps are in your direct control. Finish them before you ask anyone else to investigate.
- Your creatives. Does the creative set the same expectation the offer delivers? Does it state the action and the cost?
- Your own landing page. Does it carry the creative's promise forward, or reset it?
- The advertiser's landing page. Compare what it says and asks against your creative and your page.
- The entire funnel. Walk every step and make sure nothing is broken.
- Your targeting in the ad platform. Confirm you are reaching the audience the advertiser wants, given the customer criteria discussed above.
- Your affiliate manager. Only when the first five are clean, ask them to check the offer's performance across the network. Are other affiliates converting on it, or is it still unproven?
The order removes the variables you control before you spend someone else's time. "Is this offer broken?" is a hard question to answer. "My creative, pages, funnel walk and targeting are clean and I am not converting" is one your affiliate manager can act on.
What does the network do when live traffic is not panning out?
Offers are always tested before they are published. Things still break, particularly with newer advertisers, and human error sometimes means an offer did not get tested at all. Offer testing is a bottleneck for anything going live, so a newly launched offer is a likely place for a tracking defect.
When we send live traffic and it is not performing, we go to the advertiser. We ask whether they are seeing conversions that we are not. We log into their platform, or have them pull reporting, to check whether we are missing conversion data.
There are two branches from there.
- Conversions are missing. That is a tracking problem, and it needs to be fixed before anyone judges the creative.
- Tracking is clean. Everything reports as expected, so we go back to the affiliate. We look at the whole funnel again, the creative and the brand, and hunt for the place where promise and delivery part ways.
This is why the affiliate manager step sits last in your checklist and first in ours. You cannot see the advertiser's reporting. We can ask for it.
When should I kill an offer?
Not before you run the whole check. Go from the first impression through to the final desired action, and include the conversation with your affiliate manager about tracking.
Pause before you evaluate. Killing an offer outright loses offers that had a fixable problem. A creative that hid the deposit, a store listing that never mentioned rewards, or a tracking gap on a new offer can each look like a dead offer.
If an affiliate manager brings you an offer and says it is worth working on, that is a reliable claim to get behind. They can see how the offer is performing on the network and can check the advertiser's side. That view should raise your bar for killing it after one test that went badly.
This does not mean you keep running a campaign that loses money. It means the pause and the check come before the kill decision.
What should advertisers take from this?
Your funnel is a variable. When an affiliate's traffic converts for your competitor and not for you, the traffic is not the only possible cause.
Before you ask for the same traffic that worked for someone else, compare your landing page and its representations with theirs, step by step. Check what each says about the product, who it is for, and what the user has to do. Differences you never noticed are differences the user will notice immediately.
Then give your network what it needs to help. Share screenshots of each funnel step. Pull conversion reporting when asked. Tell us who your customer is, including the criteria you screen on. The more precisely we know who you want, the less traffic goes to people your funnel was built to turn away.
If you have worked through the list and an offer is still not converting, talk to your affiliate manager at Aragon Premium. We will check tracking with the advertiser and look at how the offer is performing across the network. Start the conversation with the form on this page.
FAQ
How do I tell whether the problem is my traffic or the offer? Compare the same traffic across offers that are structurally similar. If it converts on those and not on the new one, suspect what happens after the click. If it is weak across the board, look at the traffic and the targeting.
This is not proof either way. The most useful single check is whether other affiliates convert on the offer, which is why that question closes the diagnostic order.
How much test traffic is enough to read a funnel? There is no fixed number I would stand behind. Send enough to see where users drop off and whether the conversion behavior is plausible against your experience with competitive offers, at a level where a loss does not hurt. The result decides whether to test further. It should not be the final word on the offer.
What if the advertiser will not share funnel screenshots? Ask your affiliate manager to request them. If the advertiser cannot or will not show the steps, run a small paid test and treat the lack of visibility as a risk factor.
Can my creative be accurate and still cause a promise mismatch? Yes. Accuracy and completeness are different. A creative can say nothing false and still leave out the action, the cost or the effort. The user fills the gap with an assumption, and the page then contradicts it.
How do I tell a tracking problem from a funnel problem? You usually cannot from your side. Your reporting shows the conversions credited to you. It does not show conversions the advertiser recorded that never reached you.
That is why we log into the advertiser's platform or have them pull reporting. If the advertiser sees conversions you do not, it is tracking. If the numbers agree, the answer is in the funnel.
How do I find out who the advertiser actually wants as a customer? Ask your affiliate manager. Advertisers often state their criteria, such as credit score, employment status or vehicles owned, and we can pass those on before you build creative.
If the criteria are unclear, a small paid test will show where your traffic falls out of the funnel, which usually points to the screening step.
What should I bring to my affiliate manager when an offer is not converting? Bring your creative, your landing page, your notes from walking the funnel and your ad platform targeting. Include the dates the traffic ran and the conversion rate you expected from comparable offers you have run.
Do these steps apply to app offers as well as lead forms? Yes, with one addition. For an app offer the store listing is another step between the click and the conversion. Check that it reflects what your creative sells before you launch.