AdPushup Pitch Deck (2014): 11-Slide Pre-Seed Deck

See all 11 slides of the AdPushup pitch deck — a 2014 Pre Seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

AdPushup’s 2014 pre-seed deck is a masterclass in using early traction to validate a technical solution. With only 11 slides, the founders successfully communicated a complex AdTech problem—falling click-through rates due to banner blindness—and presented a clear, data-backed solution. The deck highlights a significant case study where RPM was optimized from $3.82 to $12.1, providing immediate proof of value. By showing a 64x increase in monthly impressions over just four months (from 500,000 in March to 32 million in June), the team demonstrated product-market fit before even finalizing thei…

Key takeaways

Introduction: The Lean AdTech Pitch

The AdPushup pitch deck from 2014 is a concise, 11-slide presentation that focuses heavily on problem validation and early traction. At a time when the AdTech market was seeing significant IPO activity from players like Rubicon and Marin, AdPushup carved out a niche by focusing on the publisher's side of the equation—specifically, the layout and placement of ads. This teardown examines how the founders used a simple narrative and impressive beta metrics to secure a $632k pre-seed round.

Slides 1-3: The Problem and Solution

Slide 1: Title Slide The deck opens with the AdPushup logo and the tagline: "Maximize Ad Revenues through Advanced A/B Testing." The subtitle, "Ad Revenue Optimization for Web Publishers," immediately identifies the target customer and the core value proposition. It is clean and functional, though it lacks the visual flair of modern decks.

Slide 2: Problem The problem is framed around falling Click-Through Rates (CTRs) in display advertising. The slide cites a DoubleClick study from 2010 to support the claim that "banner blindness" is a primary driver of this decline. Crucially, it identifies a gap in the existing market: while Ad Networks and SSPs (Supply-Side Platforms) focus on relevance and bidding, they have "no direct control over the last mile of the road," which is the physical placement of ads on the website. This is a strong way to frame a niche that larger competitors are ignoring.

Slide 3: Solution The solution slide is text-heavy but clear. It promises to help publishers optimize revenues by testing different ad placements, sizes, and types. The stated goal is to improve CTR and RPM (Revenue per Thousand Impressions). The slide explicitly mentions that constant optimization is the tool used to "fight the big evil called Banner Blindness."

Slides 4-6: Market Timing and Product Proof

Slide 4: Why Now? This slide provides macro-economic context. It quotes a Rubicon S-1 filing, forecasting that display advertising will grow from "$43 billion in 2012 to $90 billion in 2017." It also lists recent IPOs (Rubicon, Rocketfuel, Marin) to show investor appetite for the sector. Most importantly, it claims that while A/B testing is a "hot market" (citing Optimizely and VWO), no one is yet applying it specifically to publishers. This creates a sense of urgency and untapped opportunity.

Slide 5: Product The product slide features a laptop mockup showing a dashboard with multiple data lines. The text explains that AdPushup uses a "proprietary multi-arm bandit solution" to automate A/B testing. It emphasizes ease of use, noting that publishers can use a "simple visual editor and no programming knowledge." It also mentions a secondary benefit: helping to "fight AdBlock," which was a rising concern for publishers in 2014.

Slide 6: Case Study This is arguably the most important slide in the deck. It provides visual proof of the product's efficacy. The slide shows a dashboard screenshot where RPM was "Optimized from $3.82 to $12.1." The graph shows a clear upward trajectory starting from the date the publisher joined AdPushup (2014-04-27). By showing a 217% increase in revenue for a real user, the founders move the conversation from theoretical benefits to proven results.

Slides 7-9: Milestones, Traction, and The Plan

Slide 7: Milestones The timeline shows the company's rapid evolution. It started as a "weekend project" in May 2013, moved to Proof of Concept (PoC) testing in August 2013, and the founders committed full-time in January 2014. The first private beta was released in March 2014. This timeline demonstrates founder commitment and a fast pace of execution.

Slide 8: Traction The traction slide is a simple list of monthly impressions, showing massive growth:

March 2014: 500,000 impressions · April 2014: 3 Million impressions · May 2014: 10 million impressions · June 2014: 32 million impressions

This 64x growth in four months is the primary signal that the product is working and that there is high demand among publishers.

Slide 9: The Plan The monetization strategy is presented as a "hybrid model" to be implemented after hitting a "critical mass" of 1 billion impressions. The proposed methods include: 1) SaaS plans for large publishers, 2) serving additional ad units for the long tail, and 3) monetizing inventory lost to Ad Blockers. While the plan is somewhat vague on pricing, it shows the founders are thinking about multiple revenue streams.

Slides 10-11: Team and Contact

Slide 10: Founders The team slide features a photo of Ankit Oberoi and Atul Agarwal. Their credentials are solid: both co-founded Innobuzz in 2007, a company that worked with CERT-IN and NASSCOM. Atul is noted for having experience with UGC websites monetized with AdSense. This establishes them as experienced entrepreneurs with domain expertise in web monetization. The slide also notes a total team size of 4 people.

Slide 11: Contact The final slide provides the website URL and a direct email address for Ankit Oberoi, following the standard "Thank you for your time" format.

What Works in This Deck

The Case Study: Slide 6 is the heavy lifter. In early-stage fundraising, one clear data point showing a 3x increase in a core metric (RPM) is more valuable than ten slides of market theory. It proves the technology works.

Growth Velocity: The traction shown on slide 8 is undeniable. Moving from 500k to 32 million impressions in a single quarter suggests a viral or highly efficient acquisition loop, which is exactly what pre-seed investors look for.

Narrow Focus: By identifying the "last mile" of ad placement as the specific problem, AdPushup avoids the trap of trying to compete with Google or Rubicon directly. They positioned themselves as a complementary tool that makes existing ad networks more valuable.

What Is Missing

The Ask: There is no slide stating how much money the company is raising, the valuation, or what the funds will be used for. While this information is often handled in person or in a follow-up, its absence makes the deck feel like a company update rather than a formal pitch.

Competitive Landscape: While slide 4 mentions Optimizely and VWO, it doesn't provide a direct comparison. A founder today would be expected to show a 2x2 matrix or a feature checklist comparing AdPushup to other header bidding or layout optimization tools.

Unit Economics: The deck mentions monetization plans but provides no data on the cost to acquire a publisher (CAC) or the expected lifetime value (LTV). For a SaaS/AdTech hybrid, these numbers are critical for assessing long-term viability.

What a Founder Should Copy

The 'Why Now' Logic: Slide 4 does an excellent job of combining market growth stats with recent exit activity (IPOs). This validates the sector and suggests that an acquisition or IPO is a realistic outcome for investors.

Simplicity of Problem Framing: Using a term like "Banner Blindness"—a concept most people intuitively understand—makes the technical solution (multi-arm bandit testing) feel necessary and accessible.

Milestone Transparency: Showing the transition from a "weekend project" to full-time commitment builds a narrative of organic growth and founder passion. It shows the project wasn't forced; it grew because the market demanded it.

Conclusion

The AdPushup deck is a product of its time—simple, text-heavy, and focused on raw growth. It succeeded because the underlying metrics were so strong that they overshadowed the lack of formal financial modeling or a polished design. For modern founders, the lesson is clear: if your traction numbers are growing 3x month-over-month and you can prove a 200% ROI for your customers, your pitch deck doesn't need to be 20 slides long to get a check.

Frequently asked questions

How much did AdPushup raise with this deck?
According to the catalogue facts, AdPushup raised approximately $632,000 in 2014 during their pre-seed round. The lead investor for this specific round remains unknown, though the company successfully leveraged this early capital to scale their operations and eventually secure further funding rounds.
What is the core technology behind AdPushup?
As described on slide 5, AdPushup uses a proprietary multi-arm bandit solution for advanced A/B testing. This technology allows web publishers to automatically optimize ad placements, sizes, colors, and types (such as image vs. text) without requiring programming knowledge, utilizing a simple visual editor.
What specific problem does the company address?
The deck identifies that while Ad Networks and SSPs optimize for relevance and fill rates, they have no control over the 'last mile'—the actual placement of ads on a publisher's site. Slide 2 notes that falling CTRs are largely due to 'banner blindness,' which AdPushup aims to solve through constant automated optimization.
What was the company's traction at the time of the pitch?
AdPushup showed significant growth during their private beta. Slide 8 lists their monthly impressions: 500,000 in March 2014, 3 million in April, 10 million in May, and 32 million in June. This represents a 6,300% increase in volume over a four-month period.
What is missing from the AdPushup pitch deck?
The deck is missing several standard components, most notably a specific 'Ask' slide detailing how much money they are raising and how it will be spent. It also lacks a detailed competitor matrix, a formal financial projection table, and a breakdown of unit economics or customer acquisition costs.
Cover slide of the AdPushup pitch deck — Pre-Seed 2014
AdPushup pitch deck, slide 1 (2014)

AdPushup pitch deck: the facts

Company
AdPushup
Year
2014
Stage
Pre-Seed
Slides
11
Sector
SaaS / AdTech
Deck type
Pitch Deck
Outcome
Raised $632k
Headquarters
Unknown (Website active)

AdPushup pitch deck PDF

The full AdPushup deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the AdPushup pitch deck was used for

This deck is AdPushup’s 2014 pre-seed/angel pitch for its ad layout optimization platform helping web publishers combat banner blindness and improve CTR/RPM using A/B testing and multi‑arm bandit algorithms. It was used to raise about $632k in an angel/seed round around October–November 2014 from a large group of individual investors and micro‑funds. The company positioned itself as a SaaS/AdTech solution integrating with existing ad networks like Google AdSense while focusing on publisher‑side ad placement optimization, including a plan to monetize via SaaS fees and additional ad units once it reached 1 billion impressions (as stated in the deck OCR). It represents AdPushup at an early traction stage, before its later Series A led by Geniee in 2016.

Business model: AdPushup provides an ad layout optimization SaaS platform that helps web publishers increase ad revenue by optimizing ad placements and visibility, integrating with ad networks such as Google AdSense.

Year
2014
Investors
Kima Ventures, Paras Chopra (founder of Wingify), Amit Ranjan (co‑founder of SlideShare), Jonathan Boutelle (LinkedIn director of technology), Sachin Arora (Yahoo! principal data engineer and architect), Avlesh Singh (WebEngage co‑founder), Sameer Parwani (CouponDunia founder), Shubham Gupta (Nomura VP)
Founders
Ankit Oberoi, Atul Agarwal

Round: Angel/Seed (early 2014 round; some databases label it "Angel" while others call it "Seed").

Raised: $632,000 (variously reported as about $630k or $632k; multiple sources converge on $632k for this 2014 round).

Founded: 2013-2014 (sources differ: Inc42 reports 2013; other profiles state the company was formed/founded in 2014).

Headquarters: New Delhi, India (founders and early operations are described as New Delhi-based; later corporate profile lists Wilmington, North Carolina, United States with New Delhi team).

Industry: AdTech / SaaS (digital advertising technology focused on ad layout optimization for web publishers).[

Total funding: Approximately $632,000 in an angel/seed round in October–November 2014; several sources list total disclosed funding as $632K, with later Series A amount undisclosed.

Use of funds as presented: Founders report the purpose of the angel round was to expand the business by building the product, hiring a strong team, and scaling initial traction into a more sustainable and scalable operation.

What happened after the AdPushup deck

Following its 2014 angel/seed round of about $632k raised with this deck, AdPushup grew into a significant adtech SaaS player for web publishers, later securing a Series A led by Geniee and reaching multi‑million‑dollar revenue run‑rate before being acquired by Geniee in a reported ~$70M deal.

What the AdPushup deck got right

What could have been stronger

How an investor would read this deck

What draws attention

Risks that stand out

Questions this deck invites

What founders can take from the AdPushup deck

AdPushup pitch deck: common questions

What does AdPushup do?

AdPushup is an ad layout optimization platform for web publishers that uses A/B testing and multi‑arm bandit algorithms to improve the placement and format of display ads, integrating with ad networks such as Google AdSense to increase CTR and ad revenue without compromising user experience.

How much did AdPushup raise with this pitch deck, and when?

Multiple sources report that AdPushup raised about $630k–$632k in its first funding round in October–November 2014 using this pitch deck, structured as an angel/seed round with over 50 individual investors and micro‑funds participating.

What type of round was this, and who invested in AdPushup in 2014?

The 2014 round was an angel/seed raise of approximately $632k from a syndicate of angels and small funds via platforms like LetsVenture; named participants include Kima Ventures, Wingify founder Paras Chopra, SlideShare co‑founder Amit Ranjan, LinkedIn director of technology Jonathan Boutelle, WebEngage co‑founder Avlesh Singh, CouponDunia founder Sameer Parwani, Nomura VP Shubham Gupta, and several others.

What problem and solution does the AdPushup 2014 deck emphasize?

The deck’s OCR text describes AdPushup using advanced A/B testing and a proprietary multi‑arm bandit solution to optimize ad placements, sizes, colors, and formats (image vs text) through a visual editor requiring no programming knowledge, with continuous optimization against banner blindness and potential help in fighting AdBlock.

What happened to AdPushup after this 2014 funding round?

Later coverage indicates that AdPushup went on to raise an undisclosed Series A round in 2016 led by Japanese adtech firm Geniee, Inc., with Purvi Capital and existing investors also participating, and that it reached a revenue run‑rate around $10M by 2020, culminating in a reported $70M acquisition by Geniee. These outcomes occurred after the 2014 deck and were not part of its original claims.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

AdPushup pitch deck slides

AdPushup pitch deck slide 1 of 11
AdPushup pitch deck — slide 1 of 11
AdPushup pitch deck slide 2 of 11
AdPushup pitch deck — slide 2 of 11
AdPushup pitch deck slide 3 of 11
AdPushup pitch deck — slide 3 of 11
AdPushup pitch deck slide 4 of 11
AdPushup pitch deck — slide 4 of 11
AdPushup pitch deck slide 5 of 11
AdPushup pitch deck — slide 5 of 11
AdPushup pitch deck slide 6 of 11
AdPushup pitch deck — slide 6 of 11

What each slide of the AdPushup pitch deck says

Slide 1

Maximize Ad Revenues through Advanced A/B Testing Ad Revenue Optimization for Web Publishers

Slide 2

Display Advertising CTRs (click through rates) have been falling(!] constantly and one of the primary reason behind it is banner blindness. Current Players such as Ad Networks/Exchanges/SSPs help publishers improve the CTR/RPM primarily by making the ads more relevant (through user bucketing/targeting), improving the fill rates and finding the highest bidder for each impression (RTB). But they have no direct control over the last mile of the road, which is the placement of ads on the publisher's website. [ poubleclick for Advertisers, a cross section of regions, January and December 2009, Published July 2010

Slide 3

Publishers can optimize their ad revenues by testing different ad placements, ad sizes and ad types, which improves the CTR (Click through rate) and RPM (Revenue per Thousand Impressions) for them. Further, using constant optimization, they can easily fight the big evil called Banner Blindness.

Slide 4

Why Now? AdTech is growing. Display Advertising (display, mobile and video) is forecasted to grow from approximately $43 billion in 2012 to $90 billion in 20170, AdTech investments have been able to do IPOs recently (Rubicon, Rocketfuel, Marin). Outbrain, RadiumOne and more to file soon. A/B Testing is a hot market (Optimizely, VWO) and no one is using it for Publishers, yet. 8] Rubicon S-1 Filing (http://www.sec.gov/Archives/edgar/data/1595974/000119312514034389/d652651ds1.htm)

Slide 5

> . - AdPushup uses advanced A/B Testing (a proprietary multi-arm bandit solution) to web publishers optimize ad revenues by using advanced a/b testing between different ad placements, ad sizes, ad colors and types (such as image vs text). All this simply by using a simple visual editor and no programming knowledge. After finding the best variation, It keeps a check on banner blindness to keep your placements optimized at all times and can help fight AdBlock.

Slide 6

RPM (Revenue per thousand impressions) Optimized from $3.82 to $12.1 - 20140501 0140525 [5] PAGE VIEWS cucks CTR (%) CPC (USD) RPM (USD) EARNINGS (USD) 52229 944 1.81 0.39 7.06 368.74 © © [ses Ahi, Sw er, Sebo opm Sie, bsp pr avd)

Slide 9

The Plan To monetize using a hybrid model after hitting critical mass (1 Billion impressions). We can monetize by: 1) SaaS plans (fixed prices based on impressions) for Large Publishers. 2) Serving additional ad units (display/native) for the medium and long tail. 3) Helping publisher monetize the inventory being lost to Ad Blockers

Slide text above is read directly from the AdPushup deck PDF embedded on this page.

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