Who we are

Suggested text: Our website address is: https://aceconsultancys.com.

Comments

Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.

An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.

Media

Suggested text: If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.

Cookies

Suggested text: If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.

If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.

When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select "Remember Me", your login will persist for two weeks. If you log out of your account, the login cookies will be removed.

If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.

Embedded content from other websites

Suggested text: Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.

These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.

Who we share your data with

Suggested text: If you request a password reset, your IP address will be included in the reset email.

How long we retain your data

Suggested text: If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.

For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.

What rights you have over your data

Suggested text: If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.

Where your data is sent

Suggested text: Visitor comments may be checked through an automated spam detection service.

Start your Project Today!

Tell us about your goals—we’ll craft a strategy that delivers real results.

Zero to 18K: Building Petal's Community-First Instagram

From a brand nobody had discovered to a community people were recommending to their friends.

18.2K

INSTAGRAM FOLLOWERS

6.8%

AVG ENGAGEMENT RATE

₹28L

REVENUE VIA IG SHOPPING

7 Months

TIMELINE

01 · CLIENT OVERVIEW

Who We Worked With

Petal is an indie beauty startup — two founders, clean ingredients positioning, genuinely excellent products, and essentially no marketing. They had 2,100 followers when we started, near-zero reach, and a founder posting inconsistently whenever she found time. The products had earned 4.8-star reviews but nobody outside their immediate circle had heard of the brand.

02 · PROBLEM STATEMENT

What Wasn't Working

The brand had no content identity, no posting system, and no strategy connecting social media to sales. What posts did exist were flat-lay product images that looked identical to every other indie beauty brand. The founder had no time, no brief, and no creative framework. There was no link-in-bio strategy and Instagram Shopping wasn't set up.

03 · STRATEGY

How We Thought About It

We repositioned Petal from 'product showcase' to 'ingredient intelligence meets real-woman narrative.' The insight: conscious beauty buyers research before they buy. They want to understand what's in the bottle, why it works, and whether the brand is run by people who actually care. Education-first content builds that trust without ever selling. We used a 3-pillar system: Ingredient Intel, Real Skin Stories, and The Formula.

Beauty is a high-trust, high-consideration category. A follower who saves your 'Why niacinamide at 5% works' post has spent 40 seconds thinking about your product. That's 40 seconds of unprompted consideration you didn't pay for. Saves are the highest-intent action on Instagram and extend organic reach algorithmically. Teaching is the most efficient form of selling.

04 · EXECUTION

Step-by-Step Breakdown

05 · TOOLS USED

The Stack

06 · RESULTS

Before vs After Numbers

Petal Results

◈ Portfolio Design Directions (For Behance / Designer)

07 · KEY TAKEAWAYS

What Made It Work

Posts that taught the audience something generated 6× more saves than product posts. Saves signal high intent and compound reach algorithmically.

Posting 3× per week with well-directed content beat posting 1× per week with perfect content. The algorithm rewards frequency; the audience rewards reliability.

The Close Friends list — 840 members — had a purchase conversion rate 4.8× higher than Instagram cold traffic. Belonging converts.

Every follower growth inflection point in 7 months happened within 48 hours of a Reel. Instagram distributes Reels to non-followers at 8–12× the rate of any other format.

Screenshots

Want Results Like These?

Want to build a social media presence that earns trust, builds community, and converts?

The ₹1.8Cr Funnel Audit: How Forge Stopped Leaking Revenue

The traffic was never the problem. The funnel was the problem — and it was haemorrhaging at every single stage.

₹1.8Cr

ANNUAL REVENUE RECOVERED

+280%

CHECKOUT CONVERSION

−42%

CART ABANDONMENT

6 Weeks

TIMELINE

01 · CLIENT OVERVIEW

Who We Worked With

Forge is a funded D2C nutrition brand — protein supplements, health snacks, electrolyte drinks — spending ₹5Cr/month on paid acquisition. Strong brand awareness, high repeat purchase rate, but conversion benchmarks consistently 35–40% below category averages. The CEO knew there was leakage — just not where.

02 · PROBLEM STATEMENT

What Wasn't Working

A ₹5Cr/month traffic budget was feeding a funnel that converted at 0.9% on mobile — against an industry average of 2.4%. The mobile checkout had 11 form fields. There was no cart recovery sequence. Product pages were beautiful but led with ingredient lists rather than outcomes. The brand had never run a structured CRO audit.

03 · STRATEGY

How We Thought About It

We ran a complete CRO audit before touching a single element: heatmaps to find where attention was lost, session recordings to find where users hesitated, and funnel analytics to quantify drop-off at each stage. Only after building the full picture did we prioritise fixes by impact-to-effort ratio. High-impact, low-effort changes first. A/B tests on every significant change before full rollout.

At ₹5Cr monthly ad spend, even a 0.5% improvement in checkout conversion rate generates significant incremental monthly revenue — with no additional acquisition cost. Funnel optimisation at scale has the highest ROI of any marketing activity. The traffic is already paid for.

04 · EXECUTION

Step-by-Step Breakdown

05 · TOOLS USED

The Stack

06 · RESULTS

Before vs After Numbers

Forge Results

◈ Portfolio Design Directions (For Behance / Designer)

07 · KEY TAKEAWAYS

What Made It Work

The instinct is always to increase traffic. The smarter move is to fix what happens to the traffic you're already paying for. A structured audit always pays for itself.

78% of Forge traffic was mobile. Fixing mobile checkout alone drove more revenue uplift than 6 months of ad creative testing.

A 12% cart recovery rate on ₹5Cr monthly traffic represents significant incremental revenue — acquired at zero additional cost per conversion.

Adding the FSSAI certification and returns policy badge directly to the checkout page reduced payment step abandonment by 28%. Customers weren't leaving due to lack of intent — they were leaving due to unresolved doubt.

Screenshots

Want Results Like These?

Want us to audit your funnel and find the revenue that's already in your traffic?

The B2B Lead Machine: 48 Qualified Leads/Month for Velo

We stopped paying for traffic from students. We started paying for pipeline from decision-makers.

48

QUALIFIED LEADS / MONTH

₹920

COST PER LEAD

4x

LEAD VOLUME GROWTH

60 Days

TIMELINE

01 · CLIENT OVERVIEW

Who We Worked With

Velo is a B2B EdTech SaaS providing LMS and school management software to K–12 schools and coaching institutes across India. Series-A stage with a 4-person sales team. They were generating MRR but leaking heavily on acquisition — each qualified lead was costing far more than it should, and most leads weren't qualified at all.

02 · PROBLEM STATEMENT

What Wasn't Working

The Google Ads account was running broad-match keyword campaigns that were attracting students searching for study materials and tutoring — completely different from Velo's ICP of institute owners and school principals. Their landing page had no form above the fold, a generic 'Learn More' CTA, and a 5% conversion rate. Of 12 monthly leads, fewer than 4 would convert to demos.

03 · STRATEGY

How We Thought About It

Two parallel workstreams: account restructure and landing page rebuild. The core insight was that B2B buyers in EdTech need to see specific, outcome-led claims ('manage 500 students without a single spreadsheet') rather than feature lists. We restructured the campaigns to use exact and phrase match only, built ICP-specific landing pages per campaign, and connected CRM-qualified leads back to Google Smart Bidding as conversion signals.

In B2B Google Ads, message-to-market match is the primary lever. An institute owner looking for LMS software will click a generic ad — but they convert only when the landing page speaks exactly to their pain (manual fee collection, parent communication, attendance tracking). We built dedicated pages for each keyword theme with relevant outcomes front and centre.

04 · EXECUTION

Step-by-Step Breakdown

05 · TOOLS USED

The Stack

06 · RESULTS

Before vs After Numbers

Velo Results

◈ Portfolio Design Directions (For Behance / Designer)

07 · KEY TAKEAWAYS

What Made It Work

Broad match in B2B is almost always a waste of budget. Exact and phrase match cost more per click but deliver 3–4× better lead quality in this segment.

Every scroll required to reach your CTA costs you a fraction of your conversion rate. An institute principal has 90 seconds — give them the form immediately.

Offline conversion tracking fed CRM-qualified signals back to Google's algorithm. Within 4 weeks, Smart Bidding was optimising toward actual buyers, not anonymous form submissions.

Moving from 8% to 19% close rate confirms the leads improved, not just the volume. True ROI is measured end-to-end, not at the form submission stage.

Screenshots

Want Results Like These?

Want us to rebuild your Google Ads account around qualified pipeline — not just traffic?

From Scroll to Sale: Rebuilding Lumis's Meta Engine

We stopped burning budget and started building a brand that actually pays for itself.

3.8x

ROAS

₹58L

PEAK REV / MONTH

−48%

COST PER ACQUISITION

11 Wks

TIMELINE

01 · CLIENT OVERVIEW

Who We Worked With

Nykora is a bootstrapped D2C skincare brand with three hero SKUs — a vitamin C serum, a niacinamide moisturiser, and an SPF sunstick — operating in the mass-premium segment. At two years old, they had strong product-market fit evidenced by 4.6-star reviews across 1,200+ orders. But they couldn't grow profitably past ₹22L/month despite steadily increasing Meta ad spend.

02 · PROBLEM STATEMENT

What Wasn't Working

Nykora's Meta account was structurally broken before it was creatively weak. 38 ad sets ran simultaneously with no campaign organisation. Their Pixel had a purchase event misconfiguration — 40% of actual purchases went untracked. ROAS averaged 1.4–1.6×, below their breakeven of 2.2×. Every budget increase made losses worse, not better.

03 · STRATEGY

How We Thought About It

The diagnosis was structural before creative. Nykora had no working attribution, no campaign hierarchy, and no testing system. Our approach: restore tracking integrity first, then consolidate the account architecture so the algorithm receives clean signal, then build a UGC creative testing system. Scale only after all three foundations were in place.

The diagnosis was structural before creative. Nykora had no working attribution, no campaign hierarchy, and no testing system. Our approach: restore tracking integrity first, then consolidate the account architecture so the algorithm receives clean signal, then build a UGC creative testing system. Scale only after all three foundations were in place.

04 · EXECUTION

Step-by-Step Breakdown

05 · TOOLS USED

The Stack

06 · RESULTS

Before vs After Numbers

Lumis Results

◈ Portfolio Design Directions (For Behance / Designer)

07 · KEY TAKEAWAYS

What Made It Work

Fixing CAPI before increasing budget was the highest-leverage action. Without accurate data, every optimisation decision was built on guesswork.

Fewer ad sets with more budget each gave Meta's algorithm the event volume it needs. 6 ad sets with data each outperformed 38 ad sets starved of signal.

The top-performing creative was shot vertically on an iPhone by a 28K-follower creator. Authenticity outperformed the brand's professionally shot campaigns by 2.4×.

The first 2 seconds determined view-through rate and ultimately ROAS. Problem-first hooks ('Why is my skin tight?') consistently outperformed result-first hooks for this brand.

Screenshots

Want Results Like These?

Want us to audit your Meta account and rebuild it for profitable scale?