Compare the true delivered total before the apps nudge you into overpaying.
Enter your ZIP code, restaurant, food subtotal, and tip once. DeliverySaver estimates what the same order is likely to cost on DoorDash, Uber Eats, Grubhub, and Seamless — with fees and tax included.
No account required. Start with your ZIP and basket.
We show our fee assumptions before you compare.
Shareable results make it easy to double-check with friends.
Platform assumptions
This version favors transparency over fake precision. We show the fee model we use so you can judge the estimate.
DoorDash
Popular in most US metros$4.99 delivery + 15% service fee
Uber Eats
Often lower delivery, higher fees$3.49 delivery + 18% service fee
Grubhub
Can hide fees in service charges$2.99 delivery + 16% service fee
Seamless
Same network, different promos$3.99 delivery + 17% service fee
Start comparing
See your likely checkout total in under 30 seconds.
We’ll turn one order summary into four side-by-side totals and highlight the cheapest option.
Why this can rank
Clear intent, transparent estimates, and language real customers search for.
DeliverySaver should keep leaning into comparison intent. Strong content angles for launch include “DoorDash vs Uber Eats fees,” “food delivery fee calculator,” “how much do delivery app fees add,” and city-specific guides that explain how service fees, delivery fees, and tax stack up.
Content recommendations
- Publish one comparison page or article per core query cluster and metro.
- Reuse user language like “compare delivery fees” and “which app is cheapest.”
- Turn frequent result scenarios into social posts, screenshots, and lightweight landing pages.
Assumptions disclosure
Transparent estimates build more trust than pretending to know the final checkout number.
Search-friendly FAQs
Answer the questions people ask before they trust a savings tool.
How accurate are DeliverySaver estimates?
DeliverySaver is a directional comparison tool. It uses transparent fee assumptions and ZIP-based tax estimates, but promos, memberships, surge pricing, and marketplace item markups can change the final checkout total.
Does DeliverySaver scrape live app prices?
No. The MVP does not scrape live marketplace data. It helps users compare likely delivered totals before they bounce between delivery apps.
Who is DeliverySaver for?
It is built for people who already know what they want to order and want a faster way to compare DoorDash, Uber Eats, Grubhub, and Seamless before checkout.
Launch checklist
What to confirm before you tell anyone DeliverySaver is live.
Product and UX
- Test calculator flows on mobile and desktop.
- Verify empty, low-subtotal, and long-distance scenarios.
- Check share flow and screenshot readability on results.
Analytics
- Confirm page views, search_started, search_submitted, and results_viewed events fire.
- Review top ZIP prefixes, subtotal bands, and winner distribution after launch.
- Track landing-to-results conversion daily for the first week.
SEO
- Submit sitemap and inspect the homepage in Google Search Console.
- Validate title, description, robots, schema, and canonicals.
- Publish at least one supporting comparison page or article for launch intent.
Growth
- Prepare 2-3 screenshots showing meaningful savings gaps.
- Set one primary CTA and one sharing loop to avoid muddy learning.
- Write down the acquisition hypothesis for each launch channel before posting.
Early acquisition experiments
Start with channels where comparison intent and screenshots travel well.
- Post “same order, four totals” screenshots in Reddit threads, local food communities, and personal socials.
- Launch a lightweight SEO page for each query cluster like “DoorDash vs Uber Eats fees” and “food delivery fee calculator.”
- Test short-form video showing one surprising savings gap and link directly to the calculator.
- Message friends or micro-creators who already complain about delivery fees and ask them to compare a real order live.
How to measure traction
Focus on a small set of signals that show intent, not vanity traffic.
- Activation: results_viewed ÷ landing page sessions.
- Input quality: share of submitted searches with restaurant + details + realistic subtotal bands.
- Savings signal: median savings spread and how often spreads clear $5+.
- Channel quality: compare activation rate by acquisition source once channel tagging is added.
- Retention proxy: repeat visitors and run another comparison clicks within 7 days.